Evidence map›Paper›PMID 29466592›Full record

Trial reportJAMA2018

Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial.

Christopher D Gardner, John F Trepanowski, Liana C Del Gobbo, Michelle E Hauser, Joseph Rigdon, John P A Ioannidis, Manisha Desai, Abby C King

Erratum issued 3 registry-linked trialsOpen access · bronzeAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in JAMA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 320 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
320citing papers in PubMed, 12 pooled it
50.9field-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.

NCT01826591 nacompletednot on this map

Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?

TypeinterventionalSponsorStanford UniversityRan2013 to 2016Enrolled609ConditionsObesity, Insulin ResistanceArmsLow-Carbohydrate Diet, Low-Fat Diet, Mobile App
NCT05163743 naunknown statusnot on this mapstarted 2021, after this paper: background citation

COVID-19 Vaccination in Subjects With Obesity: Impact of Metabolic Health and the Role of a Ketogenic Diet

TypeinterventionalSponsorUniversity of Roma La SapienzaRan2021 to 2021Enrolled24ConditionsObesityArmsLow Calorie Ketogenic Diet
NCT05978960 nacompletednot on this mapstarted 2023, after this paper: background citation

An EXErcise Regimen Designed to Improve Body Composition, Functional Capacity, and Strength After Treatment for Breast Cancer with Nutrition Optimization

TypeinterventionalSponsorAllegheny Singer Research Institute (also known as Allegheny Health Network Research Institute)Ran2023 to 2024Enrolled44ConditionsBreast CancerArmsNutrition and resistance training exercise intervention
3 · Its place in the literature

Who cites it

320 citing papers in PubMed, 12 syntheses or guidelines pooled it, 681 citations in OpenAlex.

  1. Pooled it
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  3. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  8. Obesity in South and Southeast Asia-A new consensus on care and management.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Guideline
  9. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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260 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California.
John F TrepanowskiStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California.
Liana C Del GobboStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California.
Michelle E HauserStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California.
Joseph RigdonQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, California.
John P A IoannidisStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California.
Manisha DesaiQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, California.
Abby C KingStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, California.
Stanford University · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
A Stanford - SJSU Postdoctoral Training Program to Enhance URM TeachingK12GM088033 · NIGMS · STANFORD UNIVERSITY · PI BOOTHROYD, JOHN C · 2010 to 2016
$4.1M
Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?R01DK091831 · NIDDK · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 2012 to 2016
$3.1M
NHLBI NIH HHS T32 HL007034NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK091831NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

Importance: Dietary modification remains key to successful weight loss. Yet, no one dietary strategy is consistently superior to others for the general population. Previous research suggests genotype or insulin-glucose dynamics may modify the effects of diets. Objective: To determine the effect of a healthy low-fat (HLF) diet vs a healthy low-carbohydrate (HLC) diet on weight change and if genotype pattern or insulin secretion are related to the dietary effects on weight loss. Design, Setting, and Participants: The Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) randomized clinical trial included 609 adults aged 18 to 50 years without diabetes with a body mass index between 28 and 40. The trial enrollment was from January 29, 2013, through April 14, 2015; the date of final follow-up was May 16, 2016. Participants were randomized to the 12-month HLF or HLC diet. The study also tested whether 3 single-nucleotide polymorphism multilocus genotype responsiveness patterns or insulin secretion (INS-30; blood concentration of insulin 30 minutes after a glucose challenge) were associated with weight loss. Interventions: Health educators delivered the behavior modification intervention to HLF (n = 305) and HLC (n = 304) participants via 22 diet-specific small group sessions administered over 12 months. The sessions focused on ways to achieve the lowest fat or carbohydrate intake that could be maintained long-term and emphasized diet quality. Main Outcomes and Measures: Primary outcome was 12-month weight change and determination of whether there were significant interactions among diet type and genotype pattern, diet and insulin secretion, and diet and weight loss. Results: Among 609 participants randomized (mean age, 40 [SD, 7] years; 57% women; mean body mass index, 33 [SD, 3]; 244 [40%] had a low-fat genotype; 180 [30%] had a low-carbohydrate genotype; mean baseline INS-30, 93 μIU/mL), 481 (79%) completed the trial. In the HLF vs HLC diets, respectively, the mean 12-month macronutrient distributions were 48% vs 30% for carbohydrates, 29% vs 45% for fat, and 21% vs 23% for protein. Weight change at 12 months was -5.3 kg for the HLF diet vs -6.0 kg for the HLC diet (mean between-group difference, 0.7 kg [95% CI, -0.2 to 1.6 kg]). There was no significant diet-genotype pattern interaction (P = .20) or diet-insulin secretion (INS-30) interaction (P = .47) with 12-month weight loss. There were 18 adverse events or serious adverse events that were evenly distributed across the 2 diet groups. Conclusions and Relevance: In this 12-month weight loss diet study, there was no significant difference in weight change between a healthy low-fat diet vs a healthy low-carbohydrate diet, and neither genotype pattern nor baseline insulin secretion was associated with the dietary effects on weight loss. In the context of these 2 common weight loss diet approaches, neither of the 2 hypothesized predisposing factors was helpful in identifying which diet was better for whom. Trial Registration: clinicaltrials.gov Identifier: NCT01826591.

Indexed as

Diet, Carbohydrate-RestrictedDiet, Fat-RestrictedDiet, ReducingAdultEnergy IntakeFemaleGenotypeHumansInsulinInsulin ResistanceMaleMiddle AgedObesityOverweightWeight LossYoung AdultInsulin

Identifiers

PMID29466592
PMCPMC5839290
OpenAlexW2790416311

What OpenQuestion holds

Textmetadata
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.