Evidence map›Paper›PMID 26527511›Full record

SynthesisThe lancet. Diabetes & endocrinology2015

Effect of low-fat diet interventions versus other diet interventions on long-term weight change in adults: a systematic review and meta-analysis.

Deirdre K Tobias, Mu Chen, JoAnn E Manson, David S Ludwig, Walter Willett, Frank B Hu

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The lancet. Diabetes & endocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05181176 (Effect of Coffee and Tea Consumption on Adolescent Weight Control - a Randomized Clinical Trial), which is not on this map. Cited by 154 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 18 pooled it
18.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05181176 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Effect of Coffee and Tea Consumption on Adolescent Weight Control - a Randomized Clinical Trial

TypeinterventionalSponsorTel-Aviv Sourasky Medical CenterRan2021 to 2023Enrolled63ConditionsBody WeightArmsCoffee, Green tea, Herbal tea (placebo)
3 · Its place in the literature

Who cites it

154 citing papers in PubMed, 18 syntheses or guidelines pooled it, 367 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Guideline
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Guideline
  17. Pooled it
  18. Pooled it
  19. Trial
  20. Trial

94 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Deirdre K TobiasDivision of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA. Electronic address: dtobias@partners.org.
Mu ChenDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA.
JoAnn E MansonDivision of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
David S LudwigDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, USA.
Walter WillettChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
Frank B HuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · USNew Balance (United States) · US

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI LOWELL, BRADFORD B · 1992 to 2021
$25.0M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2011 to 2015
$9.6M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Effects of Diet on Hormones, Metabolism and Body WeightK24DK082730 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LUDWIG, DAVID S · 2009 to 2018
$1.6M
Metabolomics and type 2 diabetes risk among high-risk women with a history of gestational diabetesK01DK103720 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI TOBIAS, DEIRDRE KAY · 2014 to 2016
$396k
NCI NIH HHS CA155626NCI NIH HHS CA176726NCI NIH HHS U01 CA176726NCI NIH HHS U54 CA155626NCI NIH HHS UM1 CA176726NHLBI NIH HHS HL34594NHLBI NIH HHS HL60712NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL060712NIDDK NIH HHS DK082730NIDDK NIH HHS DK103720NIDDK NIH HHS DK46200NIDDK NIH HHS DK58845NIDDK NIH HHS K01 DK103720NIDDK NIH HHS K24 DK082730NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK058845
6 · The paper itself

Abstract

backgroundThe effectiveness of low-fat diets for long-term weight loss has been debated for decades, with many randomised controlled trials (RCTs) and recent reviews giving mixed results. We aimed to summarise the large body of evidence from RCTs to determine whether low-fat diets contribute to greater weight loss than participants' usual diet, low-carbohydrate diets, and other higher-fat dietary interventions.

methodsWe did a systematic review and random effects meta-analysis of RCTs comparing the long-term effect (≥1 year) of low-fat and higher-fat dietary interventions on weight loss by searching MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Database of Systematic Reviews to identify eligible trials published from database inception up until July 31, 2014. We excluded trials if one intervention group included a non-dietary weight loss component but the other did not, and trials of dietary supplements or meal replacement drink interventions. Data including the main outcome measure of mean difference in weight change between interventions, and whether interventions were intended to lead to weight loss, weight maintenance, or neither, were extracted from published reports. We estimated the pooled weighted mean difference (WMD) with a DerSimonian and Laird random effects method.

findings3517 citations were identified by the search and 53 studies met our inclusion criteria, including 68 128 participants (69 comparisons). In weight loss trials, low-carbohydrate interventions led to significantly greater weight loss than did low-fat interventions (18 comparisons; WMD 1·15 kg [95% CI 0·52 to 1·79]; I(2)=10%). Low-fat interventions did not lead to differences in weight change compared with other higher-fat weight loss interventions (19 comparisons; WMD 0·36 kg [-0·66 to 1·37; I(2)=82%), and led to a greater weight decrease only when compared with a usual diet (eight comparisons; -5·41 kg [-7·29 to -3·54]; I(2)=68%). Similarly, results of non-weight-loss trials and weight maintenance trials, for which no low-carbohydrate comparisons were made, showed that low-fat versus higher-fat interventions have a similar effect on weight loss, and that low-fat interventions led to greater weight loss only when compared with usual diet. In weight loss trials, higher-fat weight loss interventions led to significantly greater weight loss than low-fat interventions when groups differed by more than 5% of calories obtained from fat at follow-up (18 comparisons; WMD 1·04 kg [95% CI 0·06 to 2·03]; I(2)=78%), and when the difference in serum triglycerides between the two interventions at follow-up was at least 0·06 mmol/L (17 comparisons; 1·38 kg [0·50 to 2·25]; I(2)=62%).

interpretationThese findings suggest that the long-term effect of low-fat diet intervention on bodyweight depends on the intensity of the intervention in the comparison group. When compared with dietary interventions of similar intensity, evidence from RCTs does not support low-fat diets over other dietary interventions for long-term weight loss.

fundingNational Institutes of Health and American Diabetes Association.

Indexed as

Diet, Carbohydrate-RestrictedDiet, Fat-RestrictedDiet, High-FatDiet, ReducingWeight LossBody WeightFemaleHumansMaleRandomized Controlled Trials as Topic

Identifiers

PMID26527511
PMCPMC4667723
OpenAlexW1908915496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.