Evidence map›Paper›PMID 42478608›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2026

The Role of Fat-Free Mass in Weight-Related Complications: A Rapid Review and Meta-Analysis.

Tadesse Asmamaw Dejenie, Paul P Fahey, Haider Mannan, Mohammad Ariya, Evan Atlantis

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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

5 authors.

Tadesse Asmamaw DejenieSchool of Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID https://orcid.org/0000-0002-2033-6113
Paul P FaheySchool of Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.
Haider MannanTranslational Health Research Institute, Western Sydney University, Campbelltown, New South Wales, Australia.
Mohammad AriyaSchool of Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6732-1867
Evan AtlantisSchool of Health Sciences, Western Sydney University, Campbelltown, New South Wales, Australia.ORCID https://orcid.org/0000-0001-5877-6141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis review synthesized evidence on the association between fat-free mass (FFM) metrics and weight-related metabolic complications in adults with overweight or obesity.

methodsA systematic search of Medline, Embase, Web of Science, and Google Scholar (inception to October 2024) identified 32 observational studies involving 138,935 participants. Random-effects meta-analyses were conducted for type 2 diabetes (T2DM, 5 studies, n = 41,235), metabolic syndrome (MetS, 3 studies, n = 2832), cardiovascular disease (CVD, 3 studies, n = 8980), and non-alcoholic fatty liver disease (NAFLD, 3 studies, n = 4570). Heterogeneity was assessed using I

resultsLow FFM metrics were significantly associated with increased risk of T2DM (pooled RR = 1.46, 95% CI 1.11-1.91), MetS (OR = 4.48, 95% CI 2.18-9.22), CVD (RR = 2.03, 95% CI 1.27-3.26), and NAFLD (RR = 2.24, 95% CI 1.52-3.32). High heterogeneity was observed for T2DM (I

conclusionsLow FFM-related metrics were associated with increased risk of major weight-related metabolic complications, although the strength and consistency of associations differed by FFM metric type.

Indexed as

Body CompositionDiabetes Mellitus, Type 2Metabolic SyndromeObesityOverweightCardiovascular DiseasesHumansNon-alcoholic Fatty Liver Diseasebody compositionFFMobesityweight‐related complications

Identifiers

PMID42478608
PMCPMC13460688

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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.