<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article SYSTEM "http://jats.nlm.nih.gov/archiving/1.2/JATS-archivearticle1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.2" article-type="review-article" xml:lang="en"><?properties open_access?><front><journal-meta><journal-id journal-id-type="publisher-id">125</journal-id><journal-id journal-id-type="doi">10.1007/125.1432-0428</journal-id><journal-title-group><journal-title>Diabetologia</journal-title><journal-subtitle>Clinical, Translational and Experimental Diabetes and Metabolism</journal-subtitle><abbrev-journal-title abbrev-type="publisher">Diabetologia</abbrev-journal-title></journal-title-group><issn pub-type="ppub">0012-186X</issn><issn pub-type="epub">1432-0428</issn><publisher><publisher-name>Springer Berlin Heidelberg</publisher-name><publisher-loc>Berlin/Heidelberg</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">s00125-021-05577-2</article-id><article-id pub-id-type="manuscript">5577</article-id><article-id pub-id-type="doi">10.1007/s00125-021-05577-2</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Diets for weight management in adults with type 2 diabetes: an umbrella review of published meta-analyses and systematic review of trials of diets for diabetes remission</article-title></title-group><contrib-group><contrib contrib-type="author" id="Au1"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4373-6395</contrib-id><name><surname>Churuangsuk</surname><given-names>Chaitong</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author" id="Au2"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0597-9513</contrib-id><name><surname>Hall</surname><given-names>Julien</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" id="Au3"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8952-3892</contrib-id><name><surname>Reynolds</surname><given-names>Andrew</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author" id="Au4"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2157-4797</contrib-id><name><surname>Griffin</surname><given-names>Simon J.</given-names></name><xref ref-type="aff" rid="Aff5">5</xref><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author" id="Au5"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9302-8971</contrib-id><name><surname>Combet</surname><given-names>Emilie</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" corresp="yes" id="Au6"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2216-0083</contrib-id><name><surname>Lean</surname><given-names>Michael E. J.</given-names></name><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff4">4</xref><xref ref-type="corresp" rid="IDs00125021055772_cor6">f</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="GRID">grid.8756.c</institution-id><institution-id institution-id-type="ISNI">0000 0001 2193 314X</institution-id><institution content-type="org-division">Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences</institution><institution content-type="org-name">University of Glasgow</institution></institution-wrap><addr-line content-type="city">Glasgow</addr-line><country country="GB">UK</country></aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="GRID">grid.7130.5</institution-id><institution-id institution-id-type="ISNI">0000 0004 0470 1162</institution-id><institution content-type="org-division">Division of Internal Medicine, Faculty of Medicine</institution><institution content-type="org-name">Prince of Songkla University</institution></institution-wrap><addr-line content-type="city">Hat Yai</addr-line><country country="TH">Thailand</country></aff><aff id="Aff3"><label>3</label><institution-wrap><institution-id institution-id-type="GRID">grid.29980.3a</institution-id><institution-id institution-id-type="ISNI">0000 0004 1936 7830</institution-id><institution content-type="org-division">Department of Medicine</institution><institution content-type="org-name">University of Otago</institution></institution-wrap><addr-line content-type="city">Dunedin</addr-line><addr-line content-type="state">Otago</addr-line><country country="NZ">New Zealand</country></aff><aff id="Aff4"><label>4</label><institution-wrap><institution-id institution-id-type="GRID">grid.29980.3a</institution-id><institution-id institution-id-type="ISNI">0000 0004 1936 7830</institution-id><institution content-type="org-division">Edgar National Centre for Diabetes and Obesity Research</institution><institution content-type="org-name">University of Otago</institution></institution-wrap><addr-line content-type="city">Dunedin</addr-line><addr-line content-type="state">Otago</addr-line><country country="NZ">New Zealand</country></aff><aff id="Aff5"><label>5</label><institution-wrap><institution-id institution-id-type="GRID">grid.5335.0</institution-id><institution-id institution-id-type="ISNI">0000000121885934</institution-id><institution content-type="org-division">MRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine</institution><institution content-type="org-name">University of Cambridge</institution></institution-wrap><addr-line content-type="city">Cambridge</addr-line><country country="GB">UK</country></aff><aff id="Aff6"><label>6</label><institution-wrap><institution-id institution-id-type="GRID">grid.5335.0</institution-id><institution-id institution-id-type="ISNI">0000000121885934</institution-id><institution content-type="org-division">Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine</institution><institution content-type="org-name">University of Cambridge</institution></institution-wrap><addr-line content-type="city">Cambridge</addr-line><country country="GB">UK</country></aff></contrib-group><author-notes><corresp id="IDs00125021055772_cor6"><label>f</label><email>mike.lean@glasgow.ac.uk</email></corresp></author-notes><pub-date date-type="pub" publication-format="electronic"><day>17</day><month>11</month><year>2021</year></pub-date><pub-date date-type="pub" publication-format="print"><month>1</month><year>2022</year></pub-date><volume>65</volume><issue seq="3">1</issue><fpage>14</fpage><lpage>36</lpage><history><date date-type="registration"><day>13</day><month>9</month><year>2021</year></date><date date-type="received"><day>20</day><month>3</month><year>2021</year></date><date date-type="accepted"><day>28</day><month>7</month><year>2021</year></date><date date-type="online"><day>17</day><month>11</month><year>2021</year></date></history><permissions><copyright-statement>© The Author(s) 2021</copyright-statement><copyright-year>2021</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p><bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit <ext-link xlink:href="http://creativecommons.org/licenses/by/4.0/" ext-link-type="url">http://creativecommons.org/licenses/by/4.0/</ext-link>.</license-p></license></permissions><abstract id="Abs1" xml:lang="en"><title>Abstract</title><sec id="ASec1"><title>Aims/hypothesis</title><p id="Par1">Weight reduction is fundamental for type 2 diabetes management and remission, but uncertainty exists over which diet type is best to achieve and maintain weight loss. We evaluated dietary approaches for weight loss, and remission, in people with type 2 diabetes to inform practice and clinical guidelines.</p></sec><sec id="ASec2"><title>Methods</title><p id="Par2">First, we conducted a systematic review of published meta-analyses of RCTs of weight-loss diets. We searched MEDLINE (Ovid), PubMed, Web of Science and Cochrane Database of Systematic Reviews, up to 7 May 2021. We synthesised weight loss findings stratified by diet types and assessed meta-analyses quality with A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2. We assessed certainty of pooled results of each meta-analysis using Grading of Recommendations, Assessment, Development and Evaluations (GRADE) (PROSPERO CRD42020169258). Second, we conducted a systematic review of any intervention studies reporting type 2 diabetes remission with weight-loss diets, in MEDLINE (via PubMed), Embase and Cochrane Central Register of Controlled Trials, up to 10 May 2021. Findings were synthesised by diet type and study quality (Cochrane Risk of Bias tool 2.0 and Risk Of Bias In Non-randomised Studies – of Interventions [ROBINS-I]), with GRADE applied (PROSPERO CRD42020208878).</p></sec><sec id="ASec3"><title>Results</title><p id="Par3">We identified 19 meta-analyses of weight-loss diets, involving 2–23 primary trials (<italic>n</italic> = 100–1587), published 2013–2021. Twelve were ‘critically low’ or ‘low’ AMSTAR 2 quality, with seven ‘high’ quality. Greatest weight loss was reported with very low energy diets, 1.7–2.1 MJ/day (400–500 kcal) for 8–12 weeks (high-quality meta-analysis, GRADE low), achieving 6.6 kg (95% CI −9.5, −3.7) greater weight loss than low-energy diets (4.2–6.3 MJ/day [1000–1500 kcal]). Formula meal replacements (high quality, GRADE moderate) achieved 2.4 kg (95% CI −3.3, −1.4) greater weight loss over 12–52 weeks. Low-carbohydrate diets were no better for weight loss than higher-carbohydrate/low-fat diets (high quality, GRADE high). High-protein, Mediterranean, high-monounsaturated-fatty-acid, vegetarian and low-glycaemic-index diets all achieved minimal (0.3–2 kg) or no difference from control diets (low to critically low quality, GRADE very low/moderate). For type 2 diabetes remission, of 373 records, 16 met inclusion criteria. Remissions at 1 year were reported for a median 54% of participants in RCTs including initial low-energy total diet replacement (low-risk-of-bias study, GRADE high), and 11% and 15% for meal replacements and Mediterranean diets, respectively (some concerns for risk of bias in studies, GRADE moderate/low). For ketogenic/very low-carbohydrate and very low-energy food-based diets, the evidence for remission (20% and 22%, respectively) has serious and critical risk of bias, and GRADE certainty is very low.</p></sec><sec id="ASec4"><title>Conclusions/interpretation</title><p id="Par4">Published meta-analyses of hypocaloric diets for weight management in people with type 2 diabetes do not support any particular macronutrient profile or style over others. Very low energy diets and formula meal replacement appear the most effective approaches, generally providing less energy than self-administered food-based diets. Programmes including a hypocaloric formula ‘total diet replacement’ induction phase were most effective for type 2 diabetes remission. Most of the evidence is restricted to 1 year or less. Well-conducted research is needed to assess longer-term impacts on weight, glycaemic control, clinical outcomes and diabetes complications.</p></sec><sec id="ASec5"><title>Graphical abstract</title><p id="Par5"><fig id="Figa" position="anchor"><p><graphic position="anchor" specific-use="HTML" mime-subtype="PNG" xlink:href="MediaObjects/125_2021_5577_Figa_HTML.png" id="MO1"/></p></fig></p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Diet</kwd><kwd>Evidence-based guidelines</kwd><kwd>Informed clinical practice</kwd><kwd>Meta-analysis</kwd><kwd>Quality assessment</kwd><kwd>Randomised trial</kwd><kwd>Remission</kwd><kwd>Systematic review</kwd><kwd>Type 2 diabetes</kwd><kwd>Weight loss</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>publisher-imprint-name</meta-name><meta-value>Springer</meta-value></custom-meta><custom-meta><meta-name>volume-issue-count</meta-name><meta-value>12</meta-value></custom-meta><custom-meta><meta-name>issue-article-count</meta-name><meta-value>28</meta-value></custom-meta><custom-meta><meta-name>issue-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>issue-pricelist-year</meta-name><meta-value>2022</meta-value></custom-meta><custom-meta><meta-name>issue-copyright-holder</meta-name><meta-value>Springer-Verlag GmbH Germany, part of Springer Nature</meta-value></custom-meta><custom-meta><meta-name>issue-copyright-year</meta-name><meta-value>2022</meta-value></custom-meta><custom-meta><meta-name>article-contains-esm</meta-name><meta-value>Yes</meta-value></custom-meta><custom-meta><meta-name>article-numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta><meta-name>article-registration-date-year</meta-name><meta-value>2021</meta-value></custom-meta><custom-meta><meta-name>article-registration-date-month</meta-name><meta-value>9</meta-value></custom-meta><custom-meta><meta-name>article-registration-date-day</meta-name><meta-value>13</meta-value></custom-meta><custom-meta><meta-name>article-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>volume-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta><meta-name>journal-product</meta-name><meta-value>ArchiveJournal</meta-value></custom-meta><custom-meta><meta-name>numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta><meta-name>article-grants-type</meta-name><meta-value>OpenChoice</meta-value></custom-meta><custom-meta><meta-name>metadata-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta><meta-name>abstract-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta><meta-name>bodypdf-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta><meta-name>bodyhtml-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta><meta-name>bibliography-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta><meta-name>esm-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta><meta-name>online-first</meta-name><meta-value>false</meta-value></custom-meta><custom-meta><meta-name>pdf-file-reference</meta-name><meta-value>BodyRef/PDF/125_2021_Article_5577.pdf</meta-value></custom-meta><custom-meta><meta-name>pdf-type</meta-name><meta-value>Typeset</meta-value></custom-meta><custom-meta><meta-name>target-type</meta-name><meta-value>OnlinePDF</meta-value></custom-meta><custom-meta><meta-name>issue-online-date-year</meta-name><meta-value>2021</meta-value></custom-meta><custom-meta><meta-name>issue-online-date-month</meta-name><meta-value>12</meta-value></custom-meta><custom-meta><meta-name>issue-online-date-day</meta-name><meta-value>9</meta-value></custom-meta><custom-meta><meta-name>issue-print-date-year</meta-name><meta-value>2021</meta-value></custom-meta><custom-meta><meta-name>issue-print-date-month</meta-name><meta-value>12</meta-value></custom-meta><custom-meta><meta-name>issue-print-date-day</meta-name><meta-value>9</meta-value></custom-meta><custom-meta><meta-name>issue-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta><meta-name>article-type</meta-name><meta-value>ReviewPaper</meta-value></custom-meta><custom-meta><meta-name>journal-subject-primary</meta-name><meta-value>Medicine &amp; Public Health</meta-value></custom-meta><custom-meta><meta-name>journal-subject-secondary</meta-name><meta-value>Internal Medicine</meta-value></custom-meta><custom-meta><meta-name>journal-subject-secondary</meta-name><meta-value>Metabolic Diseases</meta-value></custom-meta><custom-meta><meta-name>journal-subject-secondary</meta-name><meta-value>Human Physiology</meta-value></custom-meta><custom-meta><meta-name>journal-subject-collection</meta-name><meta-value>Medicine</meta-value></custom-meta><custom-meta><meta-name>open-access</meta-name><meta-value>true</meta-value></custom-meta></custom-meta-group></article-meta><notes notes-type="ESMHint"><title>Supplementary Information</title><p>The online version contains peer-reviewed but unedited supplementary material available at <ext-link xlink:href="https://doi.org/10.1007/s00125-021-05577-2" ext-link-type="doi">https://doi.org/10.1007/s00125-021-05577-2</ext-link>.</p></notes></front><body><fig id="Figb" position="anchor"><p><graphic position="anchor" specific-use="HTML" mime-subtype="PNG" xlink:href="MediaObjects/125_2021_5577_Figb_HTML.png" id="MO2"/></p></fig><sec id="Sec1"><title>Introduction</title><p id="Par16">Type 2 diabetes has both environmental and genetic contributors, the global epidemic consistently following obesity. Its onset is primarily driven by weight gain to an excessive level for that individual, in a complex disease process involving gut hormones, low-grade inflammation and metabolites, possibly including some from the gut microbiota [<xref ref-type="bibr" rid="CR1">1</xref>]. Ectopic fat accumulation in liver, pancreas and muscle impairs organ functions, resulting in hyperglycaemia, commonly associated with hypertension and dyslipidaemia [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR3">3</xref>]. Type 2 diabetes requires lifelong management, but disabling and life-shortening complications occur despite treatment [<xref ref-type="bibr" rid="CR4">4</xref>]. Without strategic commitment, internationally, to effective preventive actions, type 2 diabetes will affect 629 million people worldwide by 2045 [<xref ref-type="bibr" rid="CR5">5</xref>].</p><p id="Par17">Weight loss improves all weight-related risk factors and reduces medication load. During an intensive weight loss programme, or early after bariatric surgery, there are already significant improvements in hepatic and muscle insulin sensitivity, and pancreatic first-phase insulin secretion, with rapid loss of ectopic fat from skeletal muscle and liver [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR3">3</xref>, <xref ref-type="bibr" rid="CR6">6</xref>]. A non-diabetic state can be restored for 2 years for 70–80% of people with type 2 diabetes by interventions that maintain over 10 kg weight loss (36/149, 24% of participants in the Diabetes Remission Clinical Trial [DiRECT]) [<xref ref-type="bibr" rid="CR7">7</xref>], which sustains loss of ectopic fat, reversing the pathophysiology and normalising pancreas morphology [<xref ref-type="bibr" rid="CR8">8</xref>].</p><p id="Par18">Awareness of the benefits of weight loss for type 2 diabetes is high, but both patients and healthcare practitioners currently lack authoritative guidance over diets [<xref ref-type="bibr" rid="CR9">9</xref>]. Current guidelines state that various dietary strategies may be effective, and stress personalising weight management, to take account of social situations, but do not provide guidance over diet compositions [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR10">10</xref>]. Consequently, practice can be led by distorted evidence and claims.</p><p id="Par19">Adhering to any energy-reduced diet will inevitably generate and sustain weight loss, whether defined by restriction of energy, of food groups or of specific nutrients, provided that there is incomplete compensation in energy intake and expenditure. In practice, adherence and weight losses vary widely within the same programme, and comparisons between diets often appear to have conflicting results [<xref ref-type="bibr" rid="CR11">11</xref>]. Metabolic diversity in response to specific nutrient contents has been postulated, but possibly overwhelmed or confounded by mixed behavioural responses to dietary advice. Unless carefully designed, some diets may achieve negative energy imbalance but lack essential micronutrients [<xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR13">13</xref>] or introduce adverse health effects through other pathways [<xref ref-type="bibr" rid="CR14">14</xref>–<xref ref-type="bibr" rid="CR16">16</xref>]. Furthermore, short-term results may not be sustained, potentially requiring additional behavioural approaches for long-term maintenance. While different strategies may work better for some individuals (or some practitioners) than others, there may be preferred diet compositions to optimise weight control [<xref ref-type="bibr" rid="CR17">17</xref>].</p><p id="Par20">Guideline development has been difficult because systematic reviews and meta-analyses of diet types, themselves open to bias, have appeared conflicting [<xref ref-type="bibr" rid="CR11">11</xref>]. To resolve these uncertainties and to inform clinical decision making and guideline development as part of a programme of work to update the EASD dietary recommendations, we conducted an umbrella review, to collate and critically appraise all available systematic reviews with meta-analyses of dietary interventions for weight loss in people with type 2 diabetes. As remission of diabetes is now an important goal for weight management, we also conducted a new systematic review and quality appraisal of published intervention studies of non-surgical dietary approaches for type 2 diabetes remission.</p></sec><sec id="Sec2" sec-type="methods"><title>Methods</title><sec id="Sec3"><title>Protocol and registration</title><p id="Par21">This paper focuses on dietary strategies for weight loss and type 2 diabetes remission and includes two systematic reviews: (1) a systematic ‘umbrella review’ of published meta-analyses of RCTs of diets for weight loss in people with type 2 diabetes (PROSPERO CRD42020169258); (2) a systematic review of any intervention studies which report type 2 diabetes remission (PROSPERO CRD42020208878). Our paper is written in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 [<xref ref-type="bibr" rid="CR18">18</xref>] and the Synthesis Without Meta-analysis in systematic reviews: reporting guideline [<xref ref-type="bibr" rid="CR19">19</xref>].</p><p id="Par22">Detailed methods of both systematic reviews are presented in the electronic supplementary material (ESM) <xref ref-type="supplementary-material" rid="MOESM1">Methods</xref> and summarised in Fig. <xref rid="Fig1" ref-type="fig">1</xref>. The search strategy is in ESM Table <xref ref-type="supplementary-material" rid="MOESM1">1</xref>.
<fig id="Fig1"><label>Fig. 1</label><caption xml:lang="en"><p>Summary of the methodological processes of both systematic reviews. Detailed methods are presented in the ESM <xref ref-type="supplementary-material" rid="MOESM1">Methods</xref>. <sup>a</sup>These types of NRSs provided intervention to participants and assessed outcomes at designated specific time points (baseline and at the end of intervention), although they could suffer from selection bias and confounding bias. <sup>b</sup>AMSTAR 2 level of quality assessment: high quality—the meta-analysis provides an accurate and comprehensive summary of the results of the available studies that addresses the question of interest; moderate—the meta-analysis has more than one weakness, but no critical flaws. It may provide an accurate summary of the results of the available studies; low—the meta-analysis has a critical flaw and may not provide an accurate and comprehensive summary of the available studies that address the question of interest; or critically low—the meta-analysis has more than one critical flaw and should not be relied on to provide an accurate and comprehensive summary of the available studies. CENTRAL, Cochrane Central Register of Controlled Trials; ROBINS-I, Risk Of Bias In Non-randomised Studies – of Interventions; T2D, type 2 diabetes</p></caption><p><graphic specific-use="HTML" mime-subtype="PNG" xlink:href="MediaObjects/125_2021_5577_Fig1_HTML.png" id="MO3"/></p></fig></p></sec><sec id="Sec4"><title>(1) Umbrella review of published meta-analyses</title><sec><p id="Par23">We searched MEDLINE (Ovid), PubMed, Web of Science and Cochrane Database of Systematic Reviews, up to 7 May 2021, for eligible meta-analyses of RCTs of dietary advice for weight loss.</p></sec><sec id="FPar1"><title>Data synthesis</title><p id="Par24">Synthesised findings (weight loss and HbA<sub>1c</sub>) from each meta-analysis included are grouped by diet type, ranked by overall methodological quality using A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2 (ESM Tables <xref ref-type="supplementary-material" rid="MOESM1">2</xref>, <xref ref-type="supplementary-material" rid="MOESM1">3</xref>) and categorised into four levels: high, moderate, low and critically low. Grading of Recommendations, Assessment, Development and Evaluations (GRADE) evaluates the certainty of evidence of pooled results (ESM Table <xref ref-type="supplementary-material" rid="MOESM1">4</xref>).</p><p id="Par25">Planned analysis of associations between changes in energy intake and weight changes from baseline, to differentiate effects of energy restriction and dietary regimen, proved impossible from the published information.</p></sec></sec><sec id="Sec5"><title>(2) Systematic review of diets for type 2 diabetes remission</title><sec><p id="Par26">We searched MEDLINE (via PubMed), Embase and Cochrane Central Register of Controlled Trials, up to 10 May 2021, for any intervention studies reporting type 2 diabetes remission with weight loss dietary advice. We first included RCTs reporting type 2 diabetes remission as the primary outcome, the design most likely to provide trustworthy evidence. However, as few such RCTs have been conducted, we also evaluated non-randomised studies (NRSs) to capture the totality of the evidence for ‘best available advice’ to inform practice and policy [<xref ref-type="bibr" rid="CR20">20</xref>]. Cochrane Risk of Bias tool 2.0 [<xref ref-type="bibr" rid="CR21">21</xref>] and Risk Of Bias In Non-randomised Studies – of Interventions (ROBINS-I) [<xref ref-type="bibr" rid="CR22">22</xref>] were used for quality assessment of RCTs and NRSs, respectively.</p></sec><sec id="FPar2"><title>Data synthesis</title><p id="Par27">Remission of diabetes was reported as percentage from intention to treat (ITT), including all participants. If only completers were reported, we computed an ITT figure assuming participants lost to follow-up all failed to achieve remission (as in the published RCTs). We summarised effect estimates (e.g., median and interquartile ranges), without performing meta-analysis, due to the limited number and heterogeneity of studies [<xref ref-type="bibr" rid="CR23">23</xref>]. GRADE assesses the certainty of synthesised findings [<xref ref-type="bibr" rid="CR24">24</xref>].</p><p id="Par28">For the main synthesis, priority was set to RCTs reporting 1 year outcome and low risk of bias. If there was no RCT for a particular diet, synthesis findings were drawn from NRSs with low, followed by high, risk of bias. If both RCTs and NRSs were available for a diet, RCTs were used for synthesised findings and NRSs as supportive evidence [<xref ref-type="bibr" rid="CR20">20</xref>]. Heterogeneity was explored according to hypothesised effect modifiers: study design, duration of type 2 diabetes and ethnicity.</p></sec></sec></sec><sec id="Sec6" sec-type="results"><title>Results</title><sec id="Sec7"><title>(1) Umbrella review of published meta-analyses of RCTs of diets for weight loss and glycaemic control</title><sec id="FPar3"><title>Identification of meta-analyses</title><p id="Par29">We retrieved 1064 records, including all languages. After removing duplicates, we screened 690 titles and abstracts, and assessed 59 full texts for eligibility. Excluded full texts, with reasons, are shown in ESM Table <xref ref-type="supplementary-material" rid="MOESM1">5</xref>. We included a total of 21 systematic reviews (with 19 meta-analyses) for data synthesis and quality assessment (ESM Fig. <xref ref-type="supplementary-material" rid="MOESM1">1</xref>).</p></sec><sec id="FPar4"><title>Characteristics of included meta-analyses</title><p id="Par30">Of the 19 meta-analyses (Table <xref rid="Tab1" ref-type="table">1</xref>, ESM Table <xref ref-type="supplementary-material" rid="MOESM1">6</xref>), 18 reported direct comparisons of specific diets. Control diets varied, either usual/routine care or a particular dietary regimen. One meta-analysis used a network method to consider both direct and indirect comparisons between multiple diets (Mediterranean diets, low-carbohydrate diets [LCDs], low-fat diets [LFDs], high-carbohydrate diets and usual diets) [<xref ref-type="bibr" rid="CR25">25</xref>]. Most meta-analyses were of critically low (<italic>n</italic> = 7; [<xref ref-type="bibr" rid="CR25">25</xref>–<xref ref-type="bibr" rid="CR31">31</xref>]) to low quality (<italic>n</italic> = 5; [<xref ref-type="bibr" rid="CR32">32</xref>–<xref ref-type="bibr" rid="CR36">36</xref>]). Only seven meta-analyses (LCDs, <italic>n</italic> = 5 [<xref ref-type="bibr" rid="CR37">37</xref>–<xref ref-type="bibr" rid="CR40">40</xref>, <xref ref-type="bibr" rid="CR41">41</xref>]; liquid meal replacement, <italic>n</italic> = 1 [<xref ref-type="bibr" rid="CR42">42</xref>]; very low energy diet (VLED), <italic>n</italic> = 1 [<xref ref-type="bibr" rid="CR43">43</xref>]) were assessed as high quality. The ESM <xref ref-type="supplementary-material" rid="MOESM1">Results</xref> and ESM Tables <xref ref-type="supplementary-material" rid="MOESM1">7</xref>–<xref ref-type="supplementary-material" rid="MOESM1">10</xref> present methodological quality, heterogeneity and overlaps in source trials of meta-analyses included in the umbrella review.
<table-wrap id="Tab1"><label>Table 1</label><caption xml:lang="en"><p>Characteristics of included meta-analyses of RCTs of dietary weight management in type 2 diabetes</p></caption><table frame="hsides" rules="groups"><thead><tr><th><p>Authors, yr</p></th><th><p>AMSTAR 2 quality</p></th><th><p>Protocol and no. of DBs/registries searched<sup>a</sup></p></th><th><p>No. of RCTs (<italic>N</italic> individuals) for weight loss outcome<sup>b</sup></p></th><th><p>Publication bias</p></th><th><p>INT diets (criteria)</p></th><th><p>INT: reported macronutrient intake</p></th><th><p>CON diets (criteria)</p></th><th><p>CON diet: reported macronutrient intake</p></th><th><p>Criteria for duration</p></th><th><p>Criteria for E restriction</p></th><th><p>Reported E intake in included RCTs</p></th></tr></thead><tbody><tr><td colspan="12"><p>LCDs</p></td></tr><tr><td><p> Goldenberg et al., 2021 [<xref ref-type="bibr" rid="CR41">41</xref>]</p></td><td><p>High</p></td><td><p>Protocol: yes</p><p>6 DBs: CENTRAL, MEDLINE, Embase, CINAHL, CAB and grey literature</p></td><td><p>18 (882)</p><p>Used data from complete cases, not ITT</p></td><td><p>Publication bias for weight loss at 6 mo</p></td><td><p>LCD (&lt;26% E CHO)</p></td><td><p>&lt;20 to &lt;130 g CHO</p></td><td><p>≥26% E CHO</p></td><td><p>NR</p></td><td><p>&gt;12 wk</p></td><td><p>NR</p></td><td><p>NR; included RCTs with either E restriction or ad libitum E intake</p></td></tr><tr><td><p> Korsmo-Haugen et al., 2019 [<xref ref-type="bibr" rid="CR37">37</xref>]</p></td><td><p>High</p></td><td><p>Protocol: yes</p><p>6 DBs: MEDLINE, Embase, CENTRAL, CINAHL, Food Science Source and SweMed+</p></td><td><p>17 (1587)</p></td><td><p>No publication bias</p></td><td><p>LCD (&lt;40% E CHO)</p></td><td><p>5–40% E CHO</p><p>15–30% protein</p><p>30–50% fat</p></td><td><p>&gt;40% E CHO</p></td><td><p>45–60% CHO</p><p>10–20% protein</p><p>20–36% fat</p></td><td><p>&gt;3 mo</p></td><td><p>NR</p></td><td><p>NR; included RCTs with either E restriction or ad libitum E intake</p></td></tr><tr><td><p> van Zuuren et al., 2018 [<xref ref-type="bibr" rid="CR38">38</xref>]</p></td><td><p>High</p></td><td><p>Protocol: yes</p><p>11 DBs<sup>c</sup></p><p>5 trial registries</p></td><td><p>16 (1000)</p></td><td><p>&lt;10 studies included, did not conduct test for publication bias</p></td><td><p>LCD (&lt;40% E CHO)</p></td><td><p>NR</p></td><td><p>LFD (&lt;30% E)</p></td><td><p>NR</p></td><td><p>≥4 wk</p></td><td><p>NR</p></td><td><p>NR; included RCTs with either E restriction or ad libitum E intake</p></td></tr><tr><td><p> Sainsbury et al., 2018 [<xref ref-type="bibr" rid="CR39">39</xref>]</p></td><td><p>High</p></td><td><p>Protocol: yes</p><p>5 DBs: MEDLINE, Embase, CINAHL, Global Health and CENTRAL</p></td><td><p>7 (521)<sup>d</sup></p><p>for low- and very low-CHO diets by their definition</p></td><td><p>Publication bias for HbA<sub>1c</sub> at 3 mo</p><p>No publication bias for HbA<sub>1c</sub> at 6 or 12 mo</p><p>Did not assess for weight loss</p></td><td><p>(1) Very low CHO (&lt;50 g CHO)</p><p>(2) LCD (&lt;130 g CHO)</p></td><td><p>14–20% E CHO</p><p>20–120 g CHO</p><p>28–30% protein</p><p>35–58% fat</p></td><td><p>High-CHO diet (&gt;45% E)</p></td><td><p>45–55% CHO</p><p>10–20% protein</p><p>&lt;30% fat</p></td><td><p>&gt;3 mo</p></td><td><p>NR</p></td><td><p>INT: E intake was mostly ad libitum</p><p>CON: E restriction: 6.3–7.5 MJ/d (1500–1800 kcal/d) or 2.1 MJ (500 kcal) deficit</p></td></tr><tr><td><p> Naude et al., 2014 [<xref ref-type="bibr" rid="CR40">40</xref>]</p></td><td><p>High</p></td><td><p>Protocol: yes</p><p>3 DBs: MEDLINE, Embase and CENTRAL</p></td><td><p>5 (599)</p></td><td><p>&lt;10 studies included, did not conduct test for publication bias</p></td><td><p>LCD (&lt;40% E CHO)</p></td><td><p>20–40% CHO</p><p>30% protein</p><p>30–50% fat</p></td><td><p>High-CHO diet</p><p>Isoenergetic to INT</p><p>45–65% CHO</p><p>25–35% fat</p><p>10–20% protein</p></td><td><p>55–60% CHO</p><p>30% fat</p><p>10–15% protein</p></td><td><p>&gt;3 mo</p></td><td><p>NR</p></td><td><p>INT: 5.3–8.6 MJ (1260–2054 kcal)</p><p>CON: 5.9–7.5 MJ (1416–1800 kcal)</p></td></tr><tr><td><p> McArdle et al., 2019 [<xref ref-type="bibr" rid="CR34">34</xref>]</p></td><td><p>Low</p></td><td><p>Protocol: yes</p><p>5 DBs: MEDLINE, Embase, CINAHL, Cochrane Library and DARE</p></td><td><p>13 (706)<sup>d</sup></p><p>for low- and very low-CHO diets by their definition</p></td><td><p>Did not conduct</p></td><td><p>(1) Very low CHO (&lt;50 g CHO)</p><p>(2) LCD (&lt;130 g CHO)</p></td><td><p>8 RCTs &lt;50 g CHO</p><p>4 RCTs 70–130 g CHO</p><p>1 RCT unclear amount of CHO</p></td><td><p>Low-fat, high-CHO, low-GI, high-protein, Mediterranean and ‘healthy eating’</p></td><td><p>CHO range: 138–232 g (50–60% E)</p><p>Did not report other macronutrients</p></td><td><p>&gt;12 wk</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td><p> Meng et al., 2017 [<xref ref-type="bibr" rid="CR33">33</xref>]</p></td><td><p>Low</p></td><td><p>Protocol: NR</p><p>3 DBs: MEDLINE, Embase and the Cochrane Library</p></td><td><p>8 (590)</p></td><td><p>No publication bias for weight loss and HbA<sub>1c</sub></p></td><td><p>LCD (&lt;130 g or 26% E CHO)</p></td><td><p>5–20% E CHO</p><p>&lt;20–130 g CHO</p></td><td><p>High-CHO diet</p></td><td><p>45–60% E CHO</p></td><td><p>NR</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td><p> Snorgaard et al., 2017 [<xref ref-type="bibr" rid="CR31">31</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: NR</p><p>3 DBs: Embase, MEDLINE and the Cochrane Library</p></td><td><p>10 (1376)</p></td><td><p>Did not conduct</p></td><td><p>LCD (&lt;45% E CHO)</p></td><td><p>14–45% CHO</p><p>15–28% protein</p><p>33–58% fat</p></td><td><p>High-CHO (45–50% E CHO)</p></td><td><p>41–55% CHO</p><p>15–21% protein</p><p>29–37% fat</p></td><td><p>NR</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td><p> Fan et al., 2016 [<xref ref-type="bibr" rid="CR27">27</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: NR</p><p>4 DBs: Embase, PubMed, MEDLINE and Cochrane Library</p></td><td><p>9 (997)</p></td><td><p>Stated that publication bias was evaluated but did not report result</p></td><td><p>LCD (&lt;130 g CHO)</p></td><td><p>20-–50% CHO or 20–130 g CHO</p></td><td><p>LFD, high-CHO, ADA diet<sup>e</sup></p></td><td><p>50–60% CHO</p><p>15–20% protein</p><p>25–30% fat</p></td><td><p>NR</p></td><td><p>NR</p></td><td><p>Included RCTs with either E restriction or ad libitum E intake</p><p>E-restricted trials: INT: 6.3–7.5 MJ/d (1500–1800 kcal); CON: 5.9–7.5 MJ/d (1400–1800 kcal)</p></td></tr><tr><td colspan="12"><p>High-protein diets</p></td></tr><tr><td><p> Pfeiffer et al., 2020 [<xref ref-type="bibr" rid="CR28">28</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: NR</p><p>1 DB: PubMed</p></td><td><p>5 (265)</p></td><td><p>Did not conduct</p></td><td><p>High-protein diet (&gt;20% E protein), in exchange for CHO</p></td><td><p>35–45% CHO</p><p>25–35% protein</p><p>30–35% fat</p></td><td><p>Lower protein intake (&lt;20% E)</p></td><td><p>55% CHO</p><p>30% fat</p><p>15% protein</p></td><td><p>≥8 wk</p></td><td><p>NR</p></td><td><p>INT: 5.1–8.5 MJ/d (1219–2029 kcal)</p><p>CON: 5.2–7.5 MJ/d (1235–1785 kcal)</p><p>Included RCTs were of E restriction</p></td></tr><tr><td><p> Zhao et al., 2018 [<xref ref-type="bibr" rid="CR30">30</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: NR</p><p>2 DBs: PubMed and Embase</p></td><td><p>16 (1059)</p></td><td><p>No publication bias for weight loss, did not assess for HbA<sub>1c</sub></p></td><td><p>High-protein diet</p></td><td><p>30–51% CHO</p><p>25–32% protein</p><p>18–59% fat</p></td><td><p>Not specified</p></td><td><p>40–60% CHO</p><p>10–20% protein</p><p>10–42% fat</p></td><td><p>&gt;4 wk</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td colspan="12"><p>Low-GI diets</p></td></tr><tr><td><p> Zafar et al., 2019 [<xref ref-type="bibr" rid="CR36">36</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: yes</p><p>3 DBs: PubMed, Cochrane Library and Embase</p><p>3 trial registries</p></td><td><p>24 (1488)</p></td><td><p>No publication bias</p></td><td><p>Low-GI diet</p></td><td><p>NR</p></td><td><p>High-GI, LFD, LCD, low-E weight-loss diets</p></td><td><p>NR</p></td><td><p>≥1 wk</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td colspan="12"><p>Mediterranean diets</p></td></tr><tr><td><p> Huo et al., 2015 [<xref ref-type="bibr" rid="CR32">32</xref>]</p></td><td><p>Low</p></td><td><p>Protocol: NR</p><p>3 DBs: PubMed, Cochrane Library and Embase</p></td><td><p>6 (835)</p></td><td><p>Publication bias for HbA<sub>1c</sub></p></td><td><p>Mediterranean-style diets: high vegetable, nuts, legume, fish and fruit intakes, and low red meat intake</p></td><td><p>NR</p></td><td><p>Usual diet, usual care, ADA diet<sup>e</sup>, LFD, LCD</p></td><td><p>NR</p></td><td><p>&gt;4 wk</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td colspan="12"><p>Liquid meal replacement</p></td></tr><tr><td><p> Noronha et al., 2019 [<xref ref-type="bibr" rid="CR42">42</xref>]</p></td><td><p>High</p></td><td><p>Protocol: yes</p><p>3 DBs: MEDLINE, Embase and CENTRAL</p></td><td><p>9 (931)</p></td><td><p>&lt;10 studies included, did not conduct test for publication bias</p></td><td><p>Liquid meal replacement that replaced 1/3 of main meals</p></td><td><p>Liquid meal represented 20% of total daily E intake (range: 13–47%)</p><p>46–52% CHO</p><p>20–35% protein</p><p>18–33% fat</p></td><td><p>Low-E weight-loss diets</p><p>Total E is isoenergetic to INT diet</p></td><td><p>Total daily E intake 6.3 MJ (1500 kcal)</p><p>45–60% CHO</p><p>8–31% protein</p><p>15–37% fat</p></td><td><p>&gt;2 wk</p></td><td><p>NR</p></td><td><p>Mean 6.3 MJ (1500 kcal) (5.0–6.9 MJ [1195–1659 kcal]) in both arms</p></td></tr><tr><td colspan="12"><p>VLEDs</p></td></tr><tr><td><p> Rehackova et al., 2016 [<xref ref-type="bibr" rid="CR43">43</xref>]</p></td><td><p>Low</p></td><td><p>Protocol: yes</p><p>11 DBs<sup>f</sup></p></td><td><p>2 (100)</p></td><td><p>Did not conduct</p></td><td><p>VLED (&lt;3.3 MJ/d [800 kcal])</p></td><td><p>NR</p></td><td><p>Low-E diet (4.2–6.3 MJ/d [1000–1500 kcal])</p></td><td><p>NR</p></td><td><p>NR</p></td><td><p>VLEDs</p><p>(&lt;3.3 MJ/d [800 kcal])</p></td><td><p>INT: 1.7–2.1 MJ/d (400–500 kcal)</p><p>CON: 4.2–6.3 MJ/d (1000–1500 kcal)</p></td></tr><tr><td colspan="12"><p>High-monounsaturated-fat diets</p></td></tr><tr><td><p> Qian et al., 2016 [<xref ref-type="bibr" rid="CR29">29</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: NR</p><p>3 DBs: PubMed, MEDLINE and CENTRAL</p></td><td><p>16 (1081)</p></td><td><p>No publication bias</p></td><td><p>High-MUFA diet</p><p>No specified criteria</p></td><td><p>39% (range: 9.5–45%) CHO</p><p>17% (range: 10–41%) protein</p><p>43% (range: 30–70%) fat</p><p>25% (range: 10–49%) MUFA</p></td><td><p>High-CHO diet</p><p>No specified criteria</p></td><td><p>54% (range: 41–70%) CHO</p><p>17% (range: 10–23%) protein</p><p>28% (range: 10–39%) fat</p><p>11% (range: 1–20%) MUFA</p></td><td><p>&gt;2 wk</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td colspan="12"><p>Vegetarian/vegan diets</p></td></tr><tr><td><p> Viguiliouk et al., 2019 [<xref ref-type="bibr" rid="CR35">35</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: yes</p><p>3 DBs: MEDLINE, Embase and CNETRAL</p></td><td><p>6 (532)</p></td><td><p>&lt;10 studies included, did not conduct test for publication bias</p></td><td><p>Vegetarian diet pattern, including vegan to lacto-ovo-vegetarian</p></td><td><p>60% (range: 49–78%) CHO</p><p>15% (range: 12–17%) protein</p><p>25% (range: 10–34%) fat</p><p>5% (range: 2–9%) SFA</p><p>28 g/d (range: 13–39 g/d) fibre</p></td><td><p>LFD, usual diet</p></td><td><p>50% (range: 41–65%) CHO</p><p>19% (range: 16–22%) protein</p><p>30% (range: 19–37%) fat</p><p>9% (range: 4–12%) SFA</p><p>20 g/d (range: 8–39 g/d) fibre</p></td><td><p>≥3 wk</p></td><td><p>NR</p></td><td><p>NR</p><p>8 RCTs E restricted</p><p>1 RCT E balanced</p></td></tr><tr><td colspan="12"><p>Meta-analyses with multiple diets</p></td></tr><tr><td><p> Ajala et al., 2013 [<xref ref-type="bibr" rid="CR26">26</xref>]</p></td><td><p>Critically low</p></td><td><p>Protocol: NR</p><p>3 DBs: PubMed, Embase and Google Scholar</p></td><td><p>20 (3073)</p></td><td><p>Did not conduct</p></td><td><p>LCD</p></td><td><p>NR</p></td><td><p>LFD, low-GI, Mediterranean, high-CHO</p></td><td><p>NR</p></td><td><p>≥6 mo</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td/><td/><td/><td/><td/><td><p>Low-GI</p></td><td/><td><p>High-fibre, high-GI, ADA diets<sup>e</sup></p></td><td/><td/><td/><td/></tr><tr><td/><td/><td/><td/><td/><td><p>Mediterranean</p></td><td/><td><p>Usual care, ADA diets<sup>e</sup></p></td><td/><td/><td/><td/></tr><tr><td/><td/><td/><td/><td/><td><p>High-protein diet</p></td><td/><td><p>Low-protein, high-CHO diets</p></td><td/><td/><td/><td/></tr><tr><td><p> Pan et al., 2019 [<xref ref-type="bibr" rid="CR25">25</xref>]<sup>g</sup></p></td><td><p>Critically low</p></td><td><p>Protocol: yes</p><p>3 DBs: PubMed, Embase and CENTRAL</p></td><td><p>10 (921)</p></td><td><p>Did not conduct</p></td><td><p>Mediterranean</p></td><td><p>NR</p></td><td><p>High-CHO diet (&gt;55% CHO)</p></td><td><p>NR</p></td><td><p>NR</p></td><td><p>NR</p></td><td><p>NR</p></td></tr><tr><td/><td/><td/><td/><td/><td><p>Mediterranean</p></td><td/><td><p>LCD</p></td><td/><td/><td/><td/></tr><tr><td/><td/><td/><td/><td/><td><p>Mediterranean</p></td><td/><td><p>LFD (&lt;30% E)</p></td><td/><td/><td/><td/></tr><tr><td/><td/><td/><td/><td/><td><p>LCD (&lt;26% E /&lt;130 g)</p></td><td/><td><p>High-CHO diet</p></td><td/><td/><td/><td/></tr><tr><td/><td/><td/><td/><td/><td><p>LFD (&lt;30% E)</p></td><td/><td><p>LCD (&lt;26% E or &lt;130 g)</p></td><td/><td/><td/><td/></tr><tr><td/><td/><td/><td/><td/><td><p>LFD (&lt;30% E)</p></td><td/><td><p>High-CHO diet</p></td><td/><td/><td/><td/></tr></tbody></table><table-wrap-foot><p><sup>a</sup>See ESM Table <xref ref-type="supplementary-material" rid="MOESM1">5</xref> for detailed data sources and search used in meta-analyses in the umbrella review</p><p><sup>b</sup>These numbers of RCTs are not all the same as are reported in the original meta-analyses</p><p><sup>c</sup>Eleven databases: MEDLINE, PubMed, Embase, Web of Science, Cochrane Library, CENTRAL, Emcare, Academic Search Premier, ScienceDirect, Latin American and Caribbean Health Science Information database, and Índice Bibliográfico Español en Ciencias de Salud</p><p><sup>d</sup>This meta-analysis also included ‘moderate’-carbohydrate RCTs (26–45% E) and these RCTs were also featured in other meta-analyses as an LCD</p><p><sup>e</sup>Diet according to the recommendation of the ADA [<xref ref-type="bibr" rid="CR66">66</xref>]</p><p><sup>f</sup>Eleven databases: all EBM Reviews (1991), CAB Abstracts (1973), CINAHL (1994), Embase (1980), HMIC (1979), Ovid MEDLINE(R) In-Process &amp; Other Non-Indexed Citations and Ovid MEDLINE(R) (1946), and PsychINFO (1806). We hand-searched PubMed (1984), Web of Knowledge (1983), The Cochrane library and The Centre for Reviews and Dissemination (CRD)</p><p><sup>g</sup>Network meta-analysis</p><p>CENTRAL, Cochrane Central Register of Controlled Trials; CHO, carbohydrate; CON, control; d, day; DB, database; E, energy; GI, glycaemic index; INT, intervention; mo, month; NR, not reported; SFA, saturated fatty acids; wk, week; yr, year</p></table-wrap-foot></table-wrap></p></sec><sec id="FPar5"><title>Dietary advice for weight loss</title><p id="Par31">Weight loss outcomes from published meta-analyses are presented in Figs. <xref rid="Fig2" ref-type="fig">2</xref>, <xref rid="Fig3" ref-type="fig">3</xref> and ESM Table <xref ref-type="supplementary-material" rid="MOESM1">11</xref>.
<fig id="Fig2"><label>Fig. 2</label><caption xml:lang="en"><p>All published meta-analyses of intervention diets vs control diets on weight loss (kg) stratified by overall quality in each diet type using AMSTAR 2 quality (green, high quality; orange, low quality; red, critically low quality). WMDs are presented alongside 95% CIs (error bars). Pooled results of McArdle et al., 2019 [<xref ref-type="bibr" rid="CR34">34</xref>], Fan et al., 2016 [<xref ref-type="bibr" rid="CR27">27</xref>], Zafar et al., 2019 [<xref ref-type="bibr" rid="CR36">36</xref>] and Zhao et al., 2018 [<xref ref-type="bibr" rid="CR30">30</xref>] are standardised mean differences. <sup>a</sup>Complete case data. GRADE level for certainty of evidence is rated as follows: ‘high’ indicates that we are very confident that the true effect lies close to that of the estimate of the effect; ‘moderate’ indicates that we are moderately confident in the effect estimate (the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different); ‘low’ indicates that our confidence in the effect estimate is limited (the true effect may be substantially different from the estimate of the effect); and ‘very low’ indicates that we have very little confidence in the effect estimate (the true effect is likely to be substantially different from the estimate of effect)</p></caption><p><graphic specific-use="HTML" mime-subtype="PNG" xlink:href="MediaObjects/125_2021_5577_Fig2_HTML.png" id="MO4"/></p></fig><fig id="Fig3"><label>Fig. 3</label><caption xml:lang="en"><p>Meta-analyses with source RCTs of 12 months or longer on weight loss (kg) outcome. WMDs are presented alongside 95% CIs (error bars). Different colours indicate meta-analysis quality: green, high quality; red, critically low quality. GRADE level for certainty of evidence: ‘high’ indicates that we are very confident that the true effect lies close to that of the estimate of the effect; ‘moderate’ indicates that we are moderately confident in the effect estimate (the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different); ‘low’ indicates that our confidence in the effect estimate is limited (the true effect may be substantially different from the estimate of the effect); and ‘very low’ indicates that we have very little confidence in the effect estimate (the true effect is likely to be substantially different from the estimate of effect)</p></caption><p><graphic specific-use="HTML" mime-subtype="PNG" xlink:href="MediaObjects/125_2021_5577_Fig3_HTML.png" id="MO5"/></p></fig></p></sec><sec id="FPar6"><title><bold><italic>LCDs</italic></bold></title><p id="Par32">Ten meta-analyses reported on LCDs compared with higher-carbohydrate diets. Not all reported whether source RCTs were ad libitum or hypocaloric prescriptions, with results often pooled from both trial types. Definitions of LCDs varied, including &lt;130 g/day, and &lt;26% or &lt;45% of energy intake from carbohydrate. Duration of interventions ranged from 8 weeks to 4 years.</p><p id="Par33">Four high-quality meta-analyses [<xref ref-type="bibr" rid="CR37">37</xref>–<xref ref-type="bibr" rid="CR40">40</xref>] reported that LCDs and higher-carbohydrate diets were equally effective for weight loss, with mean difference ranging between &lt;1 and &lt;2.5 kg, at all durations. GRADE assessment ranged from low to high certainty of evidence. Just one meta-analysis reported greater weight loss with LCD, by 3.5 kg, using complete case data for pooled results [<xref ref-type="bibr" rid="CR41">41</xref>]. The remaining critically low- to low-quality meta-analyses showed differences of &lt;1 kg between the two diets [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR27">27</xref>, <xref ref-type="bibr" rid="CR31">31</xref>, <xref ref-type="bibr" rid="CR33">33</xref>, <xref ref-type="bibr" rid="CR34">34</xref>].</p><p id="Par34">Very low-carbohydrate diets (21–70 g of carbohydrate daily) showed no greater weight loss than higher-carbohydrate diets over durations of 3–36 months (weight mean difference [WMD] −0.7 kg; 95% CI −2.0, 0.7; <italic>I</italic><sup>2</sup> = 46%, <italic>p</italic> = 0.10) in a subgroup analysis [<xref ref-type="bibr" rid="CR37">37</xref>]. A subgroup analysis of RCTs with low risk of bias reported no difference (WMD 0.9 kg; 95% CI -1.9, 3.6), while RCTs with high risk of bias showed greater weight loss for LCDs than higher-carbohydrate diets (WMD −1.8 kg; 95% CI −2.8, −0.7) [<xref ref-type="bibr" rid="CR37">37</xref>].</p></sec><sec id="FPar7"><title><bold><italic>High-protein diets</italic></bold></title><p id="Par35">All meta-analyses (<italic>n</italic> = 3) of high-protein diets were of critically low quality [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR28">28</xref>, <xref ref-type="bibr" rid="CR30">30</xref>]. Critical domains unmet were presence of a review protocol and assessing risk of bias in synthesised findings (ESM Table <xref ref-type="supplementary-material" rid="MOESM1">3</xref>). Only one provided a definition of ‘high protein’ (&gt;20% of energy intake), reporting significantly greater weight loss (−1.2 kg; 95% CI −2.17, −0.24; <italic>I</italic><sup>2</sup> = 5%, <italic>p</italic> = 0.38) than with lower-protein diets (&lt;20% of energy from protein) [<xref ref-type="bibr" rid="CR28">28</xref>].</p></sec><sec id="FPar8"><title><bold><italic>Mediterranean diets</italic></bold></title><p id="Par36">Two meta-analyses, of low and critically low quality, considered weight loss from Mediterranean diets [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR32">32</xref>]. The control interventions combined no diet (usual care) and specified diets, including LFD and LCD. Pooled results indicated significantly greater weight loss with Mediterranean diets than in control groups, by 0.3 kg (low quality; [<xref ref-type="bibr" rid="CR32">32</xref>]) to 1.8 kg (critically low quality; [<xref ref-type="bibr" rid="CR26">26</xref>]), over durations of 4–24 weeks. A network meta-analysis also reported that Mediterranean diets were marginally more effective than LFDs for weight loss (−1.2 kg; 95% CI −1.99, −0.37; four RCTs, low quality; <italic>p</italic>-heterogeneity = 0.08; ESM Table <xref ref-type="supplementary-material" rid="MOESM1">12</xref>) [<xref ref-type="bibr" rid="CR25">25</xref>].</p></sec><sec id="FPar9"><title><bold><italic>Formula meal replacement</italic></bold></title><p id="Par37">One high-quality meta-analysis [<xref ref-type="bibr" rid="CR42">42</xref>] of nine RCTs including 931 participants reported that replacing one to three main meals daily (replacing 13–47% of total energy) produced significantly greater weight loss than low-energy diets over 12–52 weeks (−2.4 kg; 95% CI −3.3, −1.4; <italic>I</italic><sup>2</sup> = 84%, <italic>p</italic> &lt; 0.001; GRADE moderate certainty of evidence).</p></sec><sec id="FPar10"><title><bold><italic>VLEDs</italic></bold></title><p id="Par38">One high-quality meta-analysis [<xref ref-type="bibr" rid="CR43">43</xref>] of two RCTs reported that VLEDs (1.7–2.1 MJ/day for 8–12 weeks) achieved greater weight loss at 3 months (−6.6 kg; 95% CI −9.5, −3.7; <italic>I</italic><sup>2</sup> = 58%, <italic>p</italic> = 0.12) and at 6 months (−5.7 kg; 95% CI −11.1, −0.4; <italic>I</italic><sup>2</sup> = 58%, <italic>p</italic> = 0.12), compared with an energy-restricted diet (4.2–6.3 MJ/day). These data were from participants who completed the trials.</p></sec><sec id="FPar11"><title><bold><italic>High-monounsaturated-fatty-acid, vegetarian and low-glycaemic-index diets</italic></bold></title><p id="Par39">High-monounsaturated-fatty-acid (MUFA) [<xref ref-type="bibr" rid="CR29">29</xref>] and vegetarian diets [<xref ref-type="bibr" rid="CR35">35</xref>] showed greater weight losses, by −1.6 to −2 kg, than the control diets. Low-glycaemic-index diets [<xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR36">36</xref>] were not associated with greater weight loss than control diets. Published meta-analyses of these diets were of low to critically low quality.</p></sec><sec id="FPar12"><title><bold><italic>Intermittent fasting</italic></bold></title><p id="Par40">We did a post hoc analysis to evaluate all systematic reviews without meta-analyses (no pooled weight loss; <italic>n</italic> = 10) that were excluded from our main analysis (as intended protocol). Eight were systematic reviews whose source RCTs were already pooled in meta-analyses identified in this umbrella review. The remaining two systematic reviews compared altered eating patterns with conventional energy-restricted diets (ESM Table <xref ref-type="supplementary-material" rid="MOESM1">13</xref>) [<xref ref-type="bibr" rid="CR44">44</xref>, <xref ref-type="bibr" rid="CR45">45</xref>]. From these two reviews, three RCTs were identified: two for 5:2 diets reported no difference in weight loss (high-risk-of-bias RCTs) [<xref ref-type="bibr" rid="CR46">46</xref>, <xref ref-type="bibr" rid="CR47">47</xref>], and one for time-restricted dieting reported 1.4 kg greater weight loss than conventional energy restriction (high-risk-of-bias RCT) [<xref ref-type="bibr" rid="CR48">48</xref>].</p></sec><sec id="FPar13"><title><bold><italic>Adherence</italic></bold></title><p id="Par41">Some meta-analyses offered assessed dietary adherence separately from weight change. Adherence assessed up to 1 year was poorer with very low-carbohydrate diets (&lt;50 g of carbohydrate) than with LCDs (&lt;130 g of carbohydrate) [<xref ref-type="bibr" rid="CR34">34</xref>, <xref ref-type="bibr" rid="CR37">37</xref>, <xref ref-type="bibr" rid="CR40">40</xref>], possibly because most of the trials allowed increased carbohydrate intake for later weight loss maintenance. High adherence to VLEDs (up to 6 months), judged from rapid early weight loss and dietary assessment, led to better long-term results [<xref ref-type="bibr" rid="CR43">43</xref>].</p></sec><sec id="FPar14"><title>Effects of weight-loss diet intervention on HbA<sub>1c</sub></title><p id="Par42">Among published meta-analyses, HbA<sub>1c</sub> reduction broadly followed weight loss, and differences between diet types assessed over 3–12 months were small. The published data do not permit an individual-level regression analysis to quantify weight loss-independent effects on HbA<sub>1c</sub> (ESM <xref ref-type="supplementary-material" rid="MOESM1">Results</xref>, ESM Table <xref ref-type="supplementary-material" rid="MOESM1">14</xref>).</p></sec></sec><sec id="Sec8"><title>(2) Systematic review of intervention studies (either RCTs or NRSs) of diets for remission of type 2 diabetes</title><sec id="FPar15"><title>Identification of studies</title><p id="Par43">From 373 records identified, we included 16 papers for data synthesis and quality assessment (ESM Fig. <xref ref-type="supplementary-material" rid="MOESM1">2</xref>; excluded studies with reasons in ESM Table <xref ref-type="supplementary-material" rid="MOESM1">5</xref>). These reported on 14 studies (six RCTs, eight NRSs), of seven diet types: total diet replacement (<italic>n</italic> = 4), formula meal replacement (<italic>n</italic> = 2), VLED (<italic>n</italic> = 2), very low-carbohydrate ketogenic diet (<italic>n</italic> = 1), Mediterranean diet (<italic>n</italic> = 2), LFD (<italic>n</italic> = 4) and the ADA diet (<italic>n</italic> = 1). Five studies compared diet interventions with usual care according to clinical guidelines, without providing foods or dietary products for participants [<xref ref-type="bibr" rid="CR49">49</xref>–<xref ref-type="bibr" rid="CR53">53</xref>]. Among these, three provided diabetes education or advice (Table <xref rid="Tab2" ref-type="table">2</xref>) [<xref ref-type="bibr" rid="CR49">49</xref>, <xref ref-type="bibr" rid="CR50">50</xref>, <xref ref-type="bibr" rid="CR52">52</xref>]. Included studies were conducted in Barbados, India, Italy, Qatar, South Africa, Spain, Thailand, the UK and the USA. Detailed characteristics and methodological quality are in the ESM <xref ref-type="supplementary-material" rid="MOESM1">Results</xref>, ESM Tables <xref ref-type="supplementary-material" rid="MOESM1">15</xref>–<xref ref-type="supplementary-material" rid="MOESM1">17</xref> and ESM Fig. <xref ref-type="supplementary-material" rid="MOESM1">3</xref>.
<table-wrap id="Tab2"><label>Table 2</label><caption xml:lang="en"><p>Type 2 diabetes remission (%) and mean weight loss (kg) from baseline according to different dietary regimens/patterns</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2"><p>Authors, yr (study)</p></th><th rowspan="2"><p>Design</p></th><th rowspan="2"><p>Diet INT</p></th><th rowspan="2"><p>CON arm</p></th><th rowspan="2"><p>Analysis and dropout during INT</p></th><th colspan="2"><p>T2D remission</p></th><th colspan="2"><p>Weight change (kg or %)</p></th><th rowspan="2"><p>Risk of bias<sup>a</sup></p></th><th rowspan="2"><p>Funding</p></th></tr><tr><th><p>INT</p></th><th><p>CON</p></th><th><p>INT</p></th><th><p>CON</p></th></tr></thead><tbody><tr><td colspan="11"><p>TDR</p></td></tr><tr><td><p>  Taheri et al. 2020 (DIADEM-I) [<xref ref-type="bibr" rid="CR53">53</xref>]</p></td><td><p>RCT</p></td><td><p>TDR</p><p>3.3–3.4 MJ/d (800–820 kcal) for 12 wk, then food re-introduction over 12 wk</p><p>(<italic>n</italic> = 70)</p></td><td><p>Usual care: no diet</p><p>(<italic>n</italic> = 77)</p></td><td><p>ITT</p><p>Dropout: INT = 15/70 (21%); CON = 10/77 (13%)</p></td><td><p>1 yr: 61% (43/70)</p></td><td><p>1 yr: 12% (9/77)</p></td><td><p>1 yr: −12.0</p></td><td><p>1 yr: −4.0</p></td><td><p>Low</p></td><td><p>Qatar National Research Fund</p></td></tr><tr><td><p>  Lean et al. 2018 and 2019 (DiRECT) [<xref ref-type="bibr" rid="CR51">51</xref>, <xref ref-type="bibr" rid="CR89">89</xref>]</p></td><td><p>RCT</p></td><td><p>TDR</p><p>3.5–3.6 MJ/d (825–853 kcal) for 12 wk, then food re-introduction over 2–8 wk.</p><p>(<italic>n</italic> = 149)</p></td><td><p>Usual care: no diet</p><p>(<italic>n</italic> = 149)</p></td><td><p>ITT</p><p>Dropout 1 yr: INT = 32/149 (21%); CON = 0/149</p><p>Dropout 1–2 yr: INT = 16; CON = 0</p></td><td><p>1 yr: 46% (68/149)</p><p>2 yr: 36% (53/149)</p></td><td><p>1 yr: 4% (6/149)</p><p>2 yr: 3% (5/149)</p></td><td><p>1 yr: −10.0</p><p>2 yr: −7.6</p></td><td><p>1 yr: −1.0</p><p>2 yr: −2.3</p></td><td><p>Low</p></td><td><p>Diabetes UK</p></td></tr><tr><td><p>  Bynoe et al. 2020 [<xref ref-type="bibr" rid="CR102">102</xref>]</p></td><td><p>Single arm</p></td><td><p>TDR</p><p>3.2 MJ/d (760 kcal) for 8 wk, then food re-introduction over 4 wk</p><p>(<italic>n</italic> = 25)</p></td><td><p>N/A</p></td><td><p>ITT</p><p>Dropout:1/25 at 8 mo</p></td><td><p>8 wk: 60% (15/25)</p><p>8 mo: 36%<sup>b</sup> (9/25)</p></td><td><p>N/A</p></td><td><p>8 wk: −10.1</p><p>8 mo: −8.2</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>A grant from Virgin Unite</p></td></tr><tr><td><p>  Steven et al. 2016 [<xref ref-type="bibr" rid="CR103">103</xref>]</p></td><td><p>Single arm</p></td><td><p>TDR</p><p>2.6–2.9 MJ/d (624–700 kcal) for 8 wk, then food re-introduction over 2 wk.</p><p>(<italic>n</italic> = 30)</p></td><td><p>N/A</p></td><td><p>ITT</p><p>Dropout: 1 at 1 wk due to not meeting weight loss target</p></td><td><p>8–10 wk: 40% (12/30)</p><p>8 mo: 43% (13/30)</p></td><td><p>N/A</p></td><td><p>8–10 wk: −14.2</p><p>6 mo: −13.3</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>NIHR Newcastle</p></td></tr><tr><td colspan="11"><p>Formula meal replacement</p></td></tr><tr><td><p>  Gregg et al. 2012 (Look AHEAD) [<xref ref-type="bibr" rid="CR49">49</xref>]</p></td><td><p>RCT</p></td><td><p>Liquid meal replacement to achieve goal of 5.0–7.5 MJ/d (1200–1800 kcal) with two meal replacements during 0–20 wk and then one meal replacement thereafter</p><p>(<italic>n</italic> = 2262)</p></td><td><p>Usual care: diabetes support and education; no diet</p><p>(<italic>n</italic> = 2241)</p></td><td><p>ITT: ancillary analysis</p><p>Dropout 1 yr: INT = 74/2570 (3%); CON = 112/2575 (4%)</p></td><td><p>1 yr: 11.5% (247/2157)</p><p>2 yr: 10.4% (218/2090)</p><p>3 yr: 8.7% (181/2083)</p><p>4 yr: 7.3% (150/2056)</p></td><td><p>1 yr: 2.0% (43/2170)</p><p>2 yr: 2.3% (48/2101)</p><p>3 yr: 2.2% (46/2085)</p><p>4 yr: 2.0% (41/2042)</p></td><td><p>1 yr: −8.6%</p></td><td><p>1 yr: −0.7%</p></td><td><p>Some concerns</p></td><td><p>US Department of Health and Human Services and NIH</p></td></tr><tr><td><p>  Mottalib et al. 2015 (Why WAIT) [<xref ref-type="bibr" rid="CR57">57</xref>]</p></td><td><p>Single arm</p></td><td><p>Liquid meal replacement for breakfast and lunch to achieve goal of 5.0–7.5 MJ/d (1200–1800 kcal), 40% CHO, 30% fat, 30% protein</p><p>(<italic>n</italic> = 126)</p></td><td><p>N/A</p></td><td><p>ITT: ancillary analysis</p><p>Dropout: 38/126 (30%) at 1 yr</p></td><td><p>1 yr: 3.2%<sup>c</sup> (4/126)</p></td><td><p>N/A</p></td><td><p>1 yr: −7.2 in those achieving remission</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>See footnote<sup>d</sup></p></td></tr><tr><td colspan="11"><p>Mediterranean diets and LFDs</p></td></tr><tr><td><p>  Gutierrez-Mariscal et al. 2021 [<xref ref-type="bibr" rid="CR54">54</xref>]</p></td><td><p>RCT</p></td><td><p>Mediterranean diet</p><p>No E restriction</p><p>(<italic>n</italic> = 80)</p></td><td><p>LFD</p><p>No E restriction</p><p>(<italic>n</italic> = 103)</p></td><td><p>Complete case analysis in subset of people with CHD with T2D in original trial. Ancillary analysis</p></td><td><p>5 yr: 41.3% (33/80)</p></td><td><p>5 yr: 38.8% (40/103)</p></td><td><p>5 yr: −1.16</p></td><td><p>5 yr: −1.4</p></td><td><p>Some concerns</p></td><td><p>See footnote<sup>e</sup></p></td></tr><tr><td><p> Esposito et al. 2014 [<xref ref-type="bibr" rid="CR59">59</xref>]</p></td><td><p>RCT</p></td><td><p>Mediterranean diet</p><p>E restriction</p><p>Women: 6.3 MJ/d (1500 kcal)</p><p>Men: 7.5 MJ/d (1800 kcal)</p><p>(<italic>n</italic> = 108)</p></td><td><p>LFD</p><p>E restriction</p><p>Women: 6.3 MJ/d (1500 kcal)</p><p>Men: 7.5 MJ/d (1800 kcal)</p><p>(<italic>n</italic> = 107)</p></td><td><p>ITT: ancillary analysis</p><p>Dropout 1 yr: INT = 10/108 (9%); CON = 10/107 (9%)</p></td><td><p>1 yr: 14.7% (15/102)</p><p>2 yr: 10.6% (9/85)</p><p>3 yr: 9.7% (7/72)</p><p>4 yr: 7.7% (4/52)</p><p>5 yr: 5.9% (2/34)</p><p>6 yr: 5.0% (1/20)</p></td><td><p>1 yr: 4.1% (4/97)</p><p>2 yr: 4.7% (3/64)</p><p>3 yr: 4.0% (2/50)</p><p>4 yr: 2.9% (1/35)</p><p>5 yr: 0</p><p>6 yr: 0</p></td><td><p>1 yr: −6.2</p></td><td><p>1 yr: −4.2</p></td><td><p>Some concerns</p></td><td><p>Second University of Naples</p></td></tr><tr><td><p> Mollentze et al. 2019 [<xref ref-type="bibr" rid="CR52">52</xref>]</p></td><td><p>Pilot RCT</p></td><td><p>LFD<sup>f</sup></p><p>E restriction, mainly vegetables and soups</p><p>(<italic>n</italic> = 9)</p></td><td><p>Usual care: diet advice</p><p>(<italic>n</italic> = 9)</p></td><td><p>ITT</p><p>No dropout</p></td><td><p>3 mo: NR</p><p>6 mo: 22.2% (2/9)</p></td><td><p>3 mo: NR</p><p>6 mo: 0%</p></td><td><p>3 mo: −9.0%</p><p>6 mo: −9.6%</p></td><td><p>3 mo: −1.9%</p><p>6 mo: −1.5%</p></td><td><p>High</p></td><td><p>Mr Christo Strydom, South Africa</p></td></tr><tr><td><p> Sarathi et al. 2017 [<xref ref-type="bibr" rid="CR104">104</xref>]</p></td><td><p>Single arm</p></td><td><p>LFD</p><p>6.3 MJ/d (1500 kcal)</p><p>(<italic>n</italic> = 32)</p></td><td><p>N/A</p></td><td><p>ITT</p><p>No dropout</p></td><td><p>1 yr: 75.0% (24/32)</p><p>2 yr: 68.8% (22/32)</p></td><td><p>N/A</p></td><td><p>NR</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>No funding</p></td></tr><tr><td><p> Dave et al. 2019 [<xref ref-type="bibr" rid="CR105">105</xref>]</p></td><td><p>Single arm</p></td><td><p>LFD (ADA diet<sup>g</sup>)</p><p>(<italic>n</italic> = 45)</p></td><td><p>N/A</p></td><td><p>ITT</p><p>Dropout: 4 at 5y</p></td><td><p>1 yr: 71.1% (32/45)</p><p>5 yr: 42.2%<sup>h</sup> (19/45)</p></td><td><p>N/A</p></td><td><p>1 yr: −7.6</p><p>5 yr: −6.4</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>No funding</p></td></tr><tr><td colspan="11"><p>Ketogenic diet</p></td></tr><tr><td><p> Hallberg et al. 2018 and Athinarayanan et al. 2019 (VIRTA) [<xref ref-type="bibr" rid="CR50">50</xref>, <xref ref-type="bibr" rid="CR55">55</xref>]</p></td><td><p>Non-RCT</p></td><td><p>VLCKD</p><p>CHO &lt;30 g/d to achieve ketosis, 1.5 g/kg protein per d, 3–5 servings of non-starchy vegetables, multivitamin, vitamin D<sub>3</sub> and <italic>n</italic>-3 fatty acids supplements No E restriction advised</p><p>(<italic>n</italic> = 262)</p></td><td><p>Usual care: local medical provider and education (<italic>n</italic> = 87)</p></td><td><p>ITT: ancillary analysis</p><p>Dropout 1 yr: INT = 44/262 (17%); CON = 9/87 (10%)</p><p>Dropout 1–2 yr: INT = 24; CON = 10</p></td><td><p>1 yr: 19.8%<sup>i</sup> (52/262)</p><p>2 yr: 17.6% (46/262)</p></td><td><p>1 yr: NR</p><p>2 yr: 2.3% (2/87)</p></td><td><p>1 yr: −13.8</p><p>2 yr: −11.9</p></td><td><p>1 yr: +0.6</p><p>2 yr: +1.3</p></td><td><p>Serious</p></td><td><p>Virta Health</p></td></tr><tr><td colspan="11"><p>VLED</p></td></tr><tr><td><p>  Umphonsathien et al. 2019 [<xref ref-type="bibr" rid="CR56">56</xref>]</p></td><td><p>Single arm</p></td><td><p>VLED</p><p>8 wk 2.5 MJ/d (600 kcal) food-based diet, then food re-introduction over 4 wk</p><p>(<italic>n</italic> = 20)</p></td><td><p>N/A</p></td><td><p>ITT</p><p>Dropout: 1 during run-in</p></td><td><p>8 wk: 75% (15/20)</p><p>12 wk: 75% (15/20)</p></td><td><p>N/A</p></td><td><p>8 wk: NR</p><p>12 wk: −9.5</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>Prasert Prasarttong-Osoth Research Fund</p></td></tr><tr><td><p> Thomas and Shamanna, 2018 [<xref ref-type="bibr" rid="CR60">60</xref>]</p></td><td><p>Single arm</p></td><td><p>VLED</p><p>1 wk 2.9 MJ/d (700 kcal) food-based on diet, then advice diet for ideal body weight</p><p>(<italic>n</italic> = 9)</p></td><td><p>N/A</p></td><td><p>ITT</p><p>Dropout: 1 after completing E restriction phase</p></td><td><p>1 yr: 22.2%<sup>j</sup> (2/9)</p></td><td><p>N/A</p></td><td><p>1 yr: −4.2</p></td><td><p>N/A</p></td><td><p>Critical</p></td><td><p>NR</p></td></tr></tbody></table><table-wrap-foot><p>Remissions in Gregg et al. 2012 [<xref ref-type="bibr" rid="CR49">49</xref> and Esposito et al. 2014 [<xref ref-type="bibr" rid="CR59">59</xref>] are prevalence estimates with raw cases/denominators.</p><p><sup>a</sup>Cochrane Risk of Bias tool version 2 for RCT, and Risk Of Bias In Non-randomised Studies – of Interventions for non-RCT and single-arm intervention</p><p><sup>b</sup>ITT analysis was calculated from nine participants, who had fasting plasma glucose &lt;7 mmol/l and no medication, in a total of 25 participants. For completer analysis, remission rate was 37.5% calculated from nine out of 24 completers at 8 months</p><p><sup>c</sup>ITT analysis calculated from four out of 126 participants who had HbA<sub>1c</sub>&lt; 48 mmol/mol (&lt;6.5%) and no medication at 1 year. For completer analysis, remission rate was 4.6% calculated from 52 out of 88 completers</p><p><sup>d</sup>Why WAIT programme received contributions from Novartis Medical Nutrition (currently Nestlé HealthCare Nutrition) and LifeScan.</p><p><sup>e</sup>Ministerio de Economia y Competitividad &amp; the Instituto de Salud Carlos III of Spain, the Directorate General for Assessment and Promotion of Research and the European Union's (EU's) European Regional Development Fund</p><p><sup>f</sup>See ESM Table 15 for details</p><p><sup>g</sup>Diet according to the recommendation of the ADA [<xref ref-type="bibr" rid="CR66">66</xref>]</p><p><sup>h</sup>ITT analysis was calculated from 19 participants who achieved remission in a total of 45 participants. For completer analysis, remission rate was 46.3% calculated from available data at 12 months (19 out of 41 completers)</p><p><sup>i</sup>ITT analysis calculated from 52 out of 262 participants in the intervention group who had HbA<sub>1c</sub>&lt; 48 mmol/mol (&lt;6.5%) and no medication at 1 year. For completer analysis, remission rate was 26% calculated from available data at 12 months (52 out of 204 completers)</p><p><sup>j</sup>ITT analysis calculated from two participants who had HbA<sub>1c</sub>&lt; 48 mmol/mol (&lt;6.5%) and no medication at 1 year, in a total of nine participants. For completer analysis, remission rate was 25% calculated from available data at 12 months (two out of eight completers)</p><p>CON, control; d, day; DIADEM-I, Diabetes Intervention Accentuating Diet and Enhancing Metabolism-I; E, energy; INT, intervention; Look AHEAD, Action for Health in Diabetes; mo, month; N/A, not applicable; NIH, National Institutes of Health; NIHR, National Institute for Health Research; NR, not reported; T2D, type 2 diabetes; TDR, total diet replacement; VIRTA, Virta Health Corp; VLCKD, very low-carbohydrate ketogenic diet; Why WAIT, Weight Achievement and Intensive Treatment; wk, week; yr, year</p></table-wrap-foot></table-wrap></p></sec><sec id="FPar16"><title>Definition of type 2 diabetes remission</title><p id="Par44">All included studies defined remission as a diagnostic test result, without glucose-lowering medication, below the WHO threshold for diagnosis of type 2 diabetes (HbA<sub>1c</sub> &lt; 48 mmol/mol [6.5%], or fasting plasma glucose &lt;7 mmol/l), but they differed in the duration prior to assessment of remission (ESM Tables <xref ref-type="supplementary-material" rid="MOESM1">15</xref>–<xref ref-type="supplementary-material" rid="MOESM1">16</xref>). Some studies [<xref ref-type="bibr" rid="CR54">54</xref>–<xref ref-type="bibr" rid="CR57">57</xref>] subdivided results as previously proposed by Buse et al. [<xref ref-type="bibr" rid="CR58">58</xref>]. Glucose-lowering medications were not routinely withdrawn at the beginning of diets in some of the studies, so only minimum remissions can be reported.</p></sec><sec id="FPar17"><title>Effects of diets on type 2 diabetes remission and weight at 1 year</title><p id="Par45">Remission rates and weight changes at 1 year are summarised in Fig. <xref rid="Fig4" ref-type="fig">4</xref> and Table <xref rid="Tab2" ref-type="table">2</xref>, with GRADE certainty of evidence in Table <xref rid="Tab3" ref-type="table">3</xref>.
<fig id="Fig4"><label>Fig. 4</label><caption xml:lang="en"><p>Percentage of remissions of type 2 diabetes at 12 months after intervention with different diet types, stratified by study design and risk of bias. Each dot, with varying shapes to reflect risk of bias, indicates the data point for each of the studies mentioned in the main text which provided data in this form at 12 months. The column represents the mean for the diet type. Remission was defined as either HbA<sub>1c</sub> &lt; 48 mmol/mol (&lt;6.5%) or fasting plasma glucose &lt;7 mmol/l, with no glucose-lowering medication. Total diet replacement programmes included an initial low-energy formula diet, prescribed for an 8–12 week induction phase, followed by stepped food re-introduction aimed to achieve energy balance for weight loss maintenance. VLED advised a 2.9 MJ (700 kcal) food-based diet for 1 week, then dietary advice for energy intake that matched for ideal body weight. Very low-carbohydrate ketogenic diet was ad libitum intake, carbohydrate &lt;30 g/day to achieve ketosis and 3–5 servings of non-starchy vegetables. Usual diet or standard diet interventions included diabetes education support, but no new diet intervention</p></caption><p><graphic specific-use="HTML" mime-subtype="PNG" xlink:href="MediaObjects/125_2021_5577_Fig4_HTML.png" id="MO6"/></p></fig><table-wrap id="Tab3"><label>Table 3</label><caption xml:lang="en"><p>Summary of findings of type 2 diabetes remission at 1 year after diet intervention compared with baseline with GRADE certainty of a body of evidence</p></caption><table frame="hsides" rules="groups"><thead><tr><th><p>Diet</p></th><th><p>Conclusion statement</p></th><th><p>No. of participants (no. of studies)</p></th><th><p>Certainty in the evidence<sup>a</sup></p></th><th><p>Comments</p></th></tr></thead><tbody><tr><td><p>TDR</p></td><td><p>TDR leads to a large increase in T2D remission by a median of 54% from baseline (range 46–61%), when compared with standard care (4–12%).</p></td><td><p>445 (2 RCTs)</p></td><td><p>⊕⊕⊕⊕</p><p>HIGH</p></td><td><p>Low-risk-of-bias RCTs, pre-specified outcomes with power calculation</p></td></tr><tr><td><p>Meal replacement</p></td><td><p>Meal replacement likely leads to T2D remission by 11% from baseline, when compared with standard care plus diabetes education (2%).</p></td><td><p>4503 (1 RCT)</p></td><td><p>⊕⊕◯</p><p>MODERATE</p><p>Due to possible publication bias</p></td><td><p>Ancillary observational analysis of RCT</p></td></tr><tr><td><p>Mediterranean diet</p></td><td><p>Mediterranean diet may lead to T2D remission by 15% from baseline, when compared with LFD (4%).</p></td><td><p>215 (1 RCT)</p></td><td><p>⊕⊕◯◯</p><p>LOW</p><p>Due to imprecision<sup>b</sup> and possible publication bias</p></td><td><p>Small sample size, and ancillary observational analysis of RCT</p></td></tr><tr><td><p>Very low carbohydrate ketogenic diet</p></td><td><p>The evidence is very uncertain about the effect of ketogenic diet on T2D remission due to serious risk of bias of the study methods and imprecision, although one non-RCT reported a remission rate of 20%, compared with no remission in usual care with diabetes education.</p></td><td><p>349 (1 non-RCT)</p></td><td><p>⊕◯◯◯</p><p>VERY LOW</p><p>Due to serious risk of bias (rated down 2 levels) and imprecision<sup>b</sup></p></td><td><p>Lack of randomisation, uncontrolled confounding, selection bias, incomplete outcome data, possible selective reporting, imprecision and imbalance between groups</p></td></tr><tr><td><p>VLED (food based)</p></td><td><p>The evidence is very uncertain about the effect of food-based VLED on T2D remission, although one small uncontrolled intervention study reported a remission rate of 22%.</p></td><td><p>9 (1 single group uncontrolled intervention)</p></td><td><p>⊕◯◯◯</p><p>VERY LOW</p><p>Due to critical risk of bias (rated down 3 levels), imprecision and potential publication bias</p></td><td><p>Lack of randomisation, uncontrolled confounding, selection bias and selective reporting of result. Only one positive, small study</p></td></tr></tbody></table><table-wrap-foot><p>Remission is defined as either HbA<sub>1c</sub> &lt; 48 mmol/mol (&lt;6.5%) or fasting plasma glucose &lt;7 mmol/l and no glucose-lowering medication</p><p><sup>a</sup>GRADE level for certainty of evidence: ‘high’ indicates that we are very confident that the true effect lies close to that of the estimate of the effect; ‘moderate’ indicates that we are moderately confident in the effect estimate (the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different); ‘low’ indicates that our confidence in the effect estimate is limited (the true effect may be substantially different from the estimate of the effect); and ‘very low’ indicates that we have very little confidence in the effect estimate (the true effect is likely to be substantially different from the estimate of effect)</p><p><sup>b</sup>Rated down one level due to imprecision, as the sample size is less than an optimal information size of 400</p><p>T2D, type 2 diabetes; TDR, total diet replacement</p></table-wrap-foot></table-wrap></p><p id="Par46">Programmes that included an induction phase of formula ‘total diet replacement’ were studied in two RCTs with low risks of bias. Compared with remissions of 4–12% in well-matched usual care control arms, the interventions generated median 54% remission at 12 months from baseline (<italic>N</italic> = 445, two RCTs; GRADE high certainty of evidence), with diabetes durations &lt;6 or &lt;2 years, and mean weight loss of 10 and 12 kg. These two RCTs were designed with remission as the primary outcome [<xref ref-type="bibr" rid="CR51">51</xref>, <xref ref-type="bibr" rid="CR53">53</xref>].</p><p id="Par47">Among trials reporting post hoc analyses for remission, one using two meal replacements/day during 0–20 weeks and one per day thereafter reported 11% (247/2157) remission at 1 year (prevalence estimates), with mean weight loss 8.6 kg, compared with 2% (43/2170) in standard care (<italic>N</italic> = 4503; GRADE low certainty of evidence), with some concern over risk of bias [<xref ref-type="bibr" rid="CR49">49</xref>].</p><p id="Par48">A single RCT of Mediterranean diet over 12 months reported a remission prevalence of 15% (15/102), with mean weight loss 6.2 kg, compared with 4% (4/97) with weight loss 4.2 kg in the control LFD arm (<italic>N</italic> = 215; GRADE low certainty of evidence; some concern over risk of bias) [<xref ref-type="bibr" rid="CR59">59</xref>].</p><p id="Par49">No RCT has evaluated LCDs/ketogenic diets for type 2 diabetes remission. A non-randomised, controlled study of a very low-carbohydrate (ketogenic) diet reported 20% remission (52 out of 262 who started treatment [ITT] who had HbA<sub>1c</sub> &lt; 48 mmol/mol [6.5%] without diabetes medication), with mean weight loss 13.8 kg, at 1 year, compared with no remission in a control arm (<italic>N</italic> = 349; GRADE very low certainty of evidence; serious risk of bias) [<xref ref-type="bibr" rid="CR50">50</xref>]. The dropout rate was 17% (44/262) and 22% had incomplete outcome data. This study primarily focused on HbA<sub>1c</sub> lowering, not remission, so glucose-lowering medications were not routinely withdrawn.</p><p id="Par50">Another very small uncontrolled study evaluated a 1 week 2.9 MJ/day (700 kcal) food-based diet, finding 22% (2/9) remission at 1 year, with mean weight loss 4.2 kg (<italic>N</italic> = 9, one single-arm intervention; GRADE very low certainty of evidence; critical risk of bias) [<xref ref-type="bibr" rid="CR60">60</xref>].</p></sec><sec><title>Sources of heterogeneity</title><p id="Par51">Single-arm intervention studies reported higher remission than RCTs. Participants with shorter type 2 diabetes duration, and Asian ethnicity, were more likely to achieve remission than those with longer type 2 diabetes duration or another ethnicity (Table <xref rid="Tab2" ref-type="table">2</xref>, ESM Tables <xref ref-type="supplementary-material" rid="MOESM1">15</xref>,<xref ref-type="supplementary-material" rid="MOESM1">16</xref>).</p></sec></sec></sec><sec id="Sec10" sec-type="discussion"><title>Discussion</title><sec id="Sec11"><title>Dietary weight reduction for people with type 2 diabetes</title><p id="Par52">This study was conducted to inform practice and policy over dietary advice for weight management of people with type 2 diabetes. It has therefore focused on interventions in free-living individuals, with a view to long-term management. Based on methodological quality and certainty of the evidence, our umbrella review of meta-analyses found that VLEDs and formula meal replacements produce greater weight losses than conventional low-energy diets. The evidence does not favour LCDs above higher-carbohydrate diets, nor other dietary approaches, i.e., high-protein, Mediterranean, high-MUFA, vegetarian and low-glycaemic-index diets, above control diets. Currently popular intermittent fasting was only captured in systematic reviews without meta-analysis (high-risk-of-bias RCTs) [<xref ref-type="bibr" rid="CR44">44</xref>, <xref ref-type="bibr" rid="CR45">45</xref>]. The evidence, albeit of variable ‘quality’, is rather consistent such that no one diet type is superior over others for weight management in type 2 diabetes.</p><p id="Par53">While the evidence does not suggest important differences between macronutrient compositions in effectiveness, there may be differences in cost-effectiveness. The evidence on relative cost-effectiveness of weight-loss diet programmes is limited from head-to-head diet comparison trials, but one RCT showed that LCD was not more cost-effective than the standard weight-loss diet [<xref ref-type="bibr" rid="CR61">61</xref>]. In the Doctor Referral of Overweight People to Low Energy total diet replacement Treatment (DROPLET) trial among people without diabetes, in routine practice, a total diet replacement programme (formula diets) with behavioural support proved more cost-effective than nurse-led dietary advice for long-term prevention of obesity-related diseases [<xref ref-type="bibr" rid="CR62">62</xref>]. For diabetes remission, a total diet replacement programme was estimated to be both more cost-effective and cost-saving than standard care in the DiRECT trial, reflecting reduced need for medications and fewer diabetes complications [<xref ref-type="bibr" rid="CR63">63</xref>].</p><p id="Par54">Health benefits from weight management depend largely on long-term control of body weight. Most of the evidence cited relates to short-term outcomes, relevant to the initial weight loss induction phase of weight management. Few trials have reported data beyond 12 months, to reflect weight loss maintenance, which may demand different behavioural strategies. One large RCT of high-protein diet suggested benefit for weight loss maintenance, increasing satiety and energy expenditure, albeit for a maintenance phase of only 6 months after completing weight loss [<xref ref-type="bibr" rid="CR64">64</xref>]. Nutrient-specific effects have been postulated, but are likely to be overwhelmed by variable behavioural responses to dietary advice [<xref ref-type="bibr" rid="CR65">65</xref>]. Behavioural programmes help to sustain new behaviours, relationships with foods and adherence to dietary advice [<xref ref-type="bibr" rid="CR66">66</xref>–<xref ref-type="bibr" rid="CR68">68</xref>]. Consistent evidence is also accruing that long-term weight loss maintenance is better after more rapid early weight loss [<xref ref-type="bibr" rid="CR69">69</xref>]. Thus, treatments effective for weight loss only in the short term may have long-term value if complemented with a good weight loss maintenance strategy. Practitioners can therefore be confident that a variety of diet types can all achieve the intended weight losses, and potentially remissions of type 2 diabetes, if their patients are able to adhere to the programme sufficiently.</p><p id="Par55">The analyses contradict some popular claims about specific diets: in particular, ‘low-carb’ diets hold no overall advantage for weight loss when compared with higher-carbohydrate diets. However, we cannot conclude that any individual with type 2 diabetes, in any context, will do equally well with any diet advice, or that a skilled practitioner may not have greater success advising one diet type. The skills and empathy of practitioners may overcome any diet-specific effects on weight loss by providing consistent evidence-based support [<xref ref-type="bibr" rid="CR70">70</xref>]. Realistic trials are required, in which individuals are offered choices, perhaps using <italic>n</italic> = 1 randomised trial designs.</p></sec><sec id="Sec12"><title>Weighing benefits against risks</title><p id="Par56">Food is fundamental for personal and social wellbeing, and diets can be psychologically testing. Patient preferences, culture, context and lifestyle demand open conversation and shared decision making between practitioners and patients. For either medication or diet, weighing benefits against risks is vital: treatment benefits are often overestimated but harms underestimated [<xref ref-type="bibr" rid="CR71">71</xref>]. Although all diet types are similarly effective for weight control, health risks were not systematically reported across the studies, and could differ [<xref ref-type="bibr" rid="CR72">72</xref>]. More rapid early weight loss with more intensive programmes is associated with better longer-term weight outcomes [<xref ref-type="bibr" rid="CR69">69</xref>], but severe caloric restriction without attention to nutrient content can have unwanted effects. Blood pressure falls with weight loss, and postural hypotension, common in older people and those with diabetes, is aggravated during rapid weight loss if diuretic or antihypertensive drugs are taken concurrently [<xref ref-type="bibr" rid="CR73">73</xref>]. Hypoglycaemia is possible if hypoglycaemic drugs are also taken [<xref ref-type="bibr" rid="CR74">74</xref>]. Diets other than nutritionally complete formula diets could incur vitamin and mineral deficiencies [<xref ref-type="bibr" rid="CR75">75</xref>]. With ketogenic diets, heart failure and neurological problems from thiamine deficiency have been reported [<xref ref-type="bibr" rid="CR76">76</xref>, <xref ref-type="bibr" rid="CR77">77</xref>], as well as reduced intakes of folate, iron and magnesium [<xref ref-type="bibr" rid="CR12">12</xref>]. Replacing high-carbohydrate foods with red or processed meat (high animal protein and fat) increases sodium and long-chain saturated fat intakes, elevating LDL-cholesterol [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR16">16</xref>] and potentially increasing cardiovascular disease risk [<xref ref-type="bibr" rid="CR78">78</xref>–<xref ref-type="bibr" rid="CR80">80</xref>]. High protein intake has been associated with kidney diseases in several observational studies [<xref ref-type="bibr" rid="CR81">81</xref>]. Metabolic ketoacidosis with ketogenic diets is a hazard, particularly with sodium−glucose cotransporter 2 (SGLT2) inhibitors [<xref ref-type="bibr" rid="CR82">82</xref>–<xref ref-type="bibr" rid="CR87">87</xref>]. Meanwhile, extreme fat avoidance provokes cholelithiasis [<xref ref-type="bibr" rid="CR88">88</xref>].</p></sec><sec id="Sec13"><title>Remission of type 2 diabetes</title><p id="Par57">Current evidence on diets for type 2 diabetes remission is more limited. Only two RCTs had remission as the pre-specified outcome, both relatively large and using almost identical designs and diets, with very similar results, but in very different populations, notably with different durations of diabetes [<xref ref-type="bibr" rid="CR51">51</xref>, <xref ref-type="bibr" rid="CR53">53</xref>, <xref ref-type="bibr" rid="CR89">89</xref>]. A large majority can achieve remission if they maintain sufficient weight loss.</p><p id="Par58">NRSs (non-RCT, single-arm intervention) reported remission rates ranging from 3% to 75% by ITT, over various follow-up durations. The highest remission rates, up to 75%, were in people with newly diagnosed diabetes or with &lt;2 years of type 2 diabetes duration. Much lower 20–22% remissions were reported with longer type 2 diabetes duration (8 years) or a very brief diet period (1 week). However, these studies did not all fully ascertain remission status, and they had critical risks of bias due to lack of comparator groups and/or randomisation. NRSs reflect performance among those who select and can adhere to a particular diet, and so usually reported better results than those featuring random assignment. In some cases, remission rates were reported for completers only, rather than using the ITT population to properly guide healthcare practice and policy. Despite extracting baseline data for ITT analysis, residual bias/confounding may remain with these study designs.</p><p id="Par59">The main contributor to HbA<sub>1c</sub> reduction and remission appears to be weight loss, irrespective of diet type. From the high-quality studies with high GRADE certainty, structured programmes with an intensive induction phase with total diet replacement were effective. Remission of diabetes occurs when a patient no longer satisfies the diagnostic criteria, without receiving glucose-lowering medication. To ascertain remission for those already prescribed glucose-lowering drugs, a therapeutic trial of withdrawing medication is necessary, with an appropriate protocol for re-introduction if necessary. Confirmation over a defined duration (e.g., 6 or 12 months) will be required for re-classifying individuals, and for legal or insurance purposes. The diagnostic HbA<sub>1c</sub> cut-off for diabetes of 48 mmol/mol (6.5%) was defined by WHO as broadly the level where diabetes-specific microvascular complications start to emerge [<xref ref-type="bibr" rid="CR90">90</xref>, <xref ref-type="bibr" rid="CR91">91</xref>]. However, many people in remission from type 2 diabetes remain in the pre-diabetes range of HbA<sub>1c</sub>, where cardiovascular disease risk begins to rise [<xref ref-type="bibr" rid="CR92">92</xref>, <xref ref-type="bibr" rid="CR93">93</xref>]. Lowering HbA<sub>1c</sub> to very low levels with multiple medications among people with longstanding disease is associated with increased mortality rate, possibly by relative hypoglycaemia provoking arrythmias [<xref ref-type="bibr" rid="CR94">94</xref>]. No such concerns have been reported in the small numbers who achieved and sustained HbA<sub>1c</sub> &lt; 42 mmol/mol (&lt;6.0%) from diet restriction [<xref ref-type="bibr" rid="CR89">89</xref>].</p><p id="Par60">Most type 2 diabetes is treated in primary care, the setting for both published remission trials using an intensive ‘total diet replacement’ induction phase with formula diets [<xref ref-type="bibr" rid="CR51">51</xref>]. Simpler food-based programmes may be effective. A service evaluation from one UK general practice reported weight loss and remission in 59 out of 128 patients who opted for, and persisted with, LCD advice for a mean 23 months [<xref ref-type="bibr" rid="CR95">95</xref>]. This completers’ analysis omits information about numbers who declined the diet, who started but failed to persist and who did not provide outcome data at designated times. The LCD was routinely offered since 2013, and the total number of patients with type 2 diabetes was 473 at the time of evaluation, so these data imply that 12.5% of the practice achieved remission [<xref ref-type="bibr" rid="CR95">95</xref>]. A population-based cohort study from 49 general practices in the UK (the Anglo–Danish–Dutch Study of Intensive Treatment in People with Screen-Detected Diabetes in Primary Care [ADDITION-Cambridge]) included 867 participants with newly diagnosed type 2 diabetes; after being followed up for 5 years, there was an overall 30% remission (<italic>n</italic> = 257/867; ITT analysis). Loss of &gt;10% of baseline body weight in the first year after diagnosis was associated with 70% higher chance of remission at 5 years [<xref ref-type="bibr" rid="CR96">96</xref>]. Every 1 kg of weight loss was associated with 7% higher chance of remission at 5 years, regardless of specific diet regimens or lifestyle interventions [<xref ref-type="bibr" rid="CR96">96</xref>]. There is therefore consistent evidence that remission should be attempted as early as possible from diabetes diagnosis [<xref ref-type="bibr" rid="CR70">70</xref>, <xref ref-type="bibr" rid="CR96">96</xref>].</p></sec><sec id="Sec14"><title>Limitations</title><p id="Par61">AMSTAR 2 assesses the quality of meta-analyses, prioritising critical domains, where errors and bias can impact pooled findings (ESM Table <xref ref-type="supplementary-material" rid="MOESM1">2</xref>). Only one or two flaws can label a meta-analysis ‘low’ or ‘critically low’, with some criteria potentially subjective (e.g., adequacy of the literature search; ESM Table <xref ref-type="supplementary-material" rid="MOESM1">2</xref>). In the umbrella review, many meta-analyses were of ‘low’ and ‘critically low’ AMSTAR 2 quality, predominantly through ‘no protocol reported’ (despite clear and sound methods) and no assessment of publication bias. Many meta-analyses had fewer than ten RCTs to permit assessment of publication bias by funnel plot [<xref ref-type="bibr" rid="CR97">97</xref>]. If AMSTAR 2 criteria are relaxed for protocol reporting and publication bias, the meta-analyses allow some confidence in the consistent findings of little/no difference in weight loss between any diets.</p><p id="Par62">Although the search strategy was wide and not language-restricted, most studies included European participants; results may not be equally applicable to other ethnic and/or deprived communities. South Asians develop type 2 diabetes at younger ages, more rapidly and with lower BMI, so may be more sensitive to weight loss, with physiological differences in insulin resistance, body composition and fat oxidation [<xref ref-type="bibr" rid="CR98">98</xref>, <xref ref-type="bibr" rid="CR99">99</xref>].</p><p id="Par63">The criteria used in the reported meta-analyses and studies focused on specific diet types. However, not all reported sufficient detail about macronutrient or micronutrient contents, or prescribed and reported energy intakes, including energy intake of nutrient-restricted ad libitum diets, which limits interpretation and transferability of results. Control diets used in the meta-analyses and source RCTs also varied, including ‘usual’ diets in different countries, as well as specified dietary regimens (Table <xref rid="Tab1" ref-type="table">1</xref>). Despite this, differences in weight loss between intervention and control diets, commonly 0–2 kg, are of little clinical significance. Durations of interventions varied: as weight regain is frequent over a longer period, heterogeneity might be expected. However, duration did not introduce heterogeneity, probably because trials with longer follow-up tended to be evaluating more intensive interventions with greater initial weight loss, such that the net weight changes at endpoint are similar to short-term trials.</p><p id="Par64">Given the extent of literature concluding that differences in weight control or HbA<sub>1c</sub> from different diet compositions are not clinically significant, future trials of similar diet comparisons are unlikely to add useful information. Instead, evidence from clinical practice is needed to identify safe and effective approaches to achieve and maintain weight loss with available skills and training, to assess long-term outcomes from high-quality trials and prospective audits of practice with different diets. Interpretating the existing data might be enhanced through individual patient data meta-analysis. Alternatively, the very large amount of work entailed in conducting repeated meta-analyses, and the limitations of different inclusion criteria and detailed methods, support a prospective meta-analysis approach [<xref ref-type="bibr" rid="CR100">100</xref>, <xref ref-type="bibr" rid="CR101">101</xref>]. All primary studies for inclusion should use an RCT design, with data analyses conducted ‘blind’. They should define the intervention clearly (e.g., diets, physical activity, and behavioural and psychological support), and address separately the induction (usually 3–6 months) and maintenance (≥12 months) phases of weight management, potentially employing different methods within a treatment programme.</p></sec></sec></body><back><ack><title>Acknowledgements</title><sec><p>The authors thank O. Wu, Director of the National Institute for Health Research (NIHR) Complex Reviews Support Unit (CRSU), University of Glasgow, Glasgow, UK, for providing expert advice on an internal review of the manuscript.</p></sec><sec id="FPar18"><title>Authors’ relationships and activities</title><p id="Par65">CC is supported by a PhD scholarship from the Prince of Songkla University, Faculty of Medicine, Thailand. JH and AR declare that there are no relationships or activities that might bias, or be perceived to bias, their work. SJG is undertaking trials of interventions to promote weight loss and weight loss maintenance for people living with or at risk of diabetes, for which the interventions are provided by WW (Weight Watchers UK). He has received fees from Astra Zeneca and Napp for speaking at educational meetings. The University of Cambridge has received salary support in respect of SJG from the NHS in the East of England through the Clinical Academic Reserve. EC has received funds from Filippo Berio. MEJL has received departmental research support from Diabetes UK, Cambridge Weight Plan and Novo Nordisk, and consultancy fees and support for meeting attendance from Novo Nordisk, Eli Lilly, Merck, Sanofi and Oviva.</p></sec></ack><sec sec-type="author-contribution"><title>Contribution statement</title><p>CC, EC, AR and MEJL conceptualised the idea, as part of a programme of evidence synthesis conducted by the Nutrition and Diabetes Study Group of the European Association for the Study of Diabetes, to inform new Dietary Guidelines. CC, JH and EC were responsible for the umbrella review of published meta-analyses for weight loss, and the systematic review of trials for diabetes remission. CC, JH, EC, AR, SJG and MEJL were involved with the interpretation of results. CC wrote the initial draft, with critical revision and comments from JH, AR, SJG, EC and MEJL. All authors approved the submission of the final manuscript. 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