Evidence map›Paper›PMID 42616695›Full record

ReviewObesity facts2026

Do We Need Body Composition Analysis in Patients with Obesity? A Rethinking of Body Composition Assessment in Preclinical and Clinical Obesity.

Manfred J Müller, Steven B Heymsfield, Anja Bosy-Westphal

Abstract readReview
In one paragraph

Review in Obesity facts, 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. Review
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.

Manfred J MüllerDepartment of Human Nutrition and Food Science, Christian-Albrechts-University of Kiel, Kiel, Germany, mmueller@nutrition.uni-kiel.de.
Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, USA.
Anja Bosy-WestphalDepartment of Human Nutrition and Food Science, Christian-Albrechts-University of Kiel, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent consensus statements from the European Association for the Study of Obesity and the 2024 Lancet Obesity Commission have renewed the debate on how obesity should be defined and clinically characterized. Although both frameworks acknowledge the limitations of body mass index (BMI), they continue to rely largely on anthropometric measures, including BMI and waist circumference, for diagnosis and risk stratification. Body composition analysis (BCA), however, has received comparatively little attention. Obesity is a heterogeneous condition characterized not only by excess adiposity but also by differences in fat distribution, ectopic fat accumulation, and skeletal muscle mass. Advances in imaging and body composition methodology now enable a more detailed assessment of these components and their metabolic consequences. SUMMARY: This perspective examines the potential role of BCA in the assessment of preclinical and clinical obesity. Rather than focusing on what can technically be measured, we address the clinically relevant questions of what should be measured and in which patients. Specifically, we discuss whether fat mass should replace BMI for diagnosing obesity, whether visceral adipose tissue should replace waist circumference for cardiometabolic risk assessment, whether liver fat should be routinely assessed, and whether skeletal muscle mass should be evaluated in clinical practice. KEY MESSAGES: BCA provides clinically relevant information that complements, rather than necessarily replaces, traditional anthropometric measures. When used selectively, BCA may improve risk stratification, facilitate the monitoring of treatment responses, and support more individualized management strategies for patients with obesity.

Indexed as

Fat-free mass indexFat mass indexHypertriglyceridemic waistLiver fatSkeletal muscle indexVisceral adipose tissue

Identifiers

PMID42616695
PMCPMC13685649

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.