Evidence map›Paper›PMID 41740726›Full record

Trial reportThe American journal of clinical nutrition2026

Diet-based weight-loss intervention is not associated with a meaningful change in lean soft tissue.

Aubrey K Roberts, Daniel J Panyard, Brady Hislop, Catherine P Ward, Michael P Snyder, Christopher D Gardner, Francois Haddad

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The American journal of clinical nutrition, 2026. 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Aubrey K RobertsDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States. Electronic address: aubreykr@stanford.edu.
Daniel J PanyardDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, United States.
Brady HislopDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, United States.
Catherine P WardStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, United States.
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
Francois HaddadDivision of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn emerging concern is that weight-loss interventions can lead to disproportionate muscle loss. Few studies accurately quantify changes in lean soft tissue (LST) after weight loss or investigate associated molecular signatures.

objectivesThe objectives of this study were to quantify LST change after a diet-based weight-loss intervention and identify protein biomarkers associated with LST retention.

methodsUsing the Diet Intervention Examining The Factors Interacting with Treatment Success cohort, we analyzed LST from dual-energy X-ray absorptiometry in three ways: 1) by body region (appendicular and total body), 2) after removing bias from fat-free adipose tissue (FFAT), and 3) relative to body size (percentage predicted LST). We also assessed 242 proteins measured in Olink Cardiovascular II, III, and Inflammation panels as predictors of LST change.

resultsA total of 374 participants (61% female; mean age ± standard deviation (SD): 39.4 ± 6.7 y; mean body mass index ± SD: 32.3 ± 3.2 kg/m

conclusionsChange in appendicular LST, a surrogate for skeletal muscle, was modest after 6 mo of diet-based weight loss. DLK1, an inhibitor of adipogenesis, emerged as the top protein biomarker linked to LST retention. This trial was registered at clinicaltrials.gov as NCT01826591.

Indexed as

Body CompositionDiet, ReducingMuscle, SkeletalObesityWeight LossAbsorptiometry, PhotonAdipose TissueAdultBiomarkersBody Mass IndexDiet, Carbohydrate-RestrictedDiet, Fat-RestrictedFemaleHumansMaleMiddle AgedBiomarkersbody compositiondiet interventionlean masslean soft tissuemuscle massproteomicsweight loss

Identifiers

PMID41740726
PMCPMC13197904

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.