Evidence map›Paper›PMID 42453567›Full record

ArticleJournal of the Endocrine Society2026

Percent body fat misclassifies patients with sarcopenia as obese: support for fat mass index in obesity assessment.

Susan L Ziolkowski, David R Weber, Joshua F Baker

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Susan L ZiolkowskiDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, USA.ORCID https://orcid.org/0000-0002-0785-598X
David R WeberDivision of Endocrinology and Diabetes, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Joshua F BakerDivision of Rheumatology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Integrating machine learning to improve kidney disease risk assessment for patients on cancer therapyK23DK141988 · NIDDK · STANFORD UNIVERSITY · PI Susan Ziolkowski · 2025 to 2026
$384k
NIDDK NIH HHS K23 DK141988RRD VA I01 RX003644RRD VA I01 RX004770
6 · The paper itself

Abstract

Background: Percent body fat (%BF) is a common measurement reported on dual-energy X-ray absorptiometry (DXA) to assess for obesity. %BF is calculated as fat mass divided by total body mass, and thereby increases with either higher fat mass or reduced muscle mass. In contrast, fat mass index (FMI; kg/m Methods: We utilized whole-body DXA data from 1999-2006 NHANES in adults ≥20 years of age ( Results: More patients met criteria for obesity when defined by %BF (76.8%) compared to BMI (33.9%), FMI (35.8%), and WC (51%). Participants classified as obese by %BF had lower lean (muscle) mass, FMI, and BMI compared to participants obese by FMI (all Conclusion: Patients who are classified as obese by %BF had the lowest muscle mass and fat mass compared to participants who met other definitions of obesity. The majority of patients with sarcopenia are labeled as obese by %BF. We believe these findings support the use of FMI, a measurement not confounded by muscle mass, for research and clinical assessment.

Indexed as

body mass indexfat mass indexobesitypercent body fatsarcopenia

Identifiers

PMID42453567
PMCPMC13366532

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Registered trials

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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.