Evidence map›Paper›PMID 28027950›Full record

ArticleContemporary clinical trials2017

DIETFITS study (diet intervention examining the factors interacting with treatment success) - Study design and methods.

Michael V Stanton, Jennifer L Robinson, Susan M Kirkpatrick, Sarah Farzinkhou, Erin C Avery, Joseph Rigdon, Lisa C Offringa, John F Trepanowski, Michelle E Hauser, Jennifer C Hartle and 5 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Contemporary clinical trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01826591 (Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.5field-weighted citation impact, top 11% 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
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 52 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Michael V StantonStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States; War-Related Injury and Illness Study Center, Veterans Administration Palo Alto Health Care System, United States.
Jennifer L RobinsonStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Susan M KirkpatrickStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Sarah FarzinkhouStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Erin C AveryStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Joseph RigdonDepartment of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, United States.
Lisa C OffringaStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
John F TrepanowskiStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Michelle E HauserStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Jennifer C HartleStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Rise J CherinStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States.
Abby C KingStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States.
John P A IoannidisStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States; Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States; Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, United States.
Manisha DesaiDepartment of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, United States; Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, United States.
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University Medical School, Stanford, CA, United States. Electronic address: cgardner@stanford.edu.
Stanford University · USStanford Medicine · USVA Palo Alto Health Care System · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI James Alexander Fitzpatrick · 2013 to 2026
$27.1M
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
NCATS NIH HHS UL1 TR001085NHLBI NIH HHS T32 HL007034NIDDK NIH HHS P30 DK020579NIDDK NIH HHS R01 DK091831NIGMS NIH HHS K12 GM088033
6 · The paper itself

Abstract

Numerous studies have attempted to identify successful dietary strategies for weight loss, and many have focused on Low-Fat vs. Low-Carbohydrate comparisons. Despite relatively small between-group differences in weight loss found in most previous studies, researchers have consistently observed relatively large between-subject differences in weight loss within any given diet group (e.g., ~25kg weight loss to ~5kg weight gain). The primary objective of this study was to identify predisposing individual factors at baseline that help explain differential weight loss achieved by individuals assigned to the same diet, particularly a pre-determined multi-locus genotype pattern and insulin resistance status. Secondary objectives included discovery strategies for further identifying potential genetic risk scores. Exploratory objectives included investigation of an extensive set of physiological, psychosocial, dietary, and behavioral variables as moderating and/or mediating variables and/or secondary outcomes. The target population was generally healthy, free-living adults with BMI 28-40kg/m

Indexed as

Diet, Carbohydrate-RestrictedDiet, Fat-RestrictedDiet, ReducingGenotypeInsulin ResistanceAdultBody CompositionEnergy MetabolismExerciseFemaleHumansMaleMiddle AgedObesityProteomicsSingle-Blind MethodDietLow carbohydrateLow fatNutritionObesityWeight loss

Identifiers

PMID28027950
PMCPMC5274550
OpenAlexW2564747836

What OpenQuestion holds

Textmetadata
LicenceTDM
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.