Evidence map›Paper›PMID 41114087›Full record

ReviewJournal of diabetes and metabolic disorders2025

Association between body composition measured using Dual-Energy X-Ray absorptiometry and incident type 2 diabetes mellitus in adults: A systematic review.

Xiaomei Yao, Morgan McKeown, Oliver Li, Yingying Luo, Jinhui Ma

Abstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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.

Xiaomei YaoDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON Canada.ORCID 0000-0002-1210-3758
Morgan McKeown *Faculty of Health Science, McMaster University, Hamilton, ON Canada.ORCID 0009-0006-0507-0077
Oliver Li *Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON Canada.ORCID 0009-0003-7994-7212
Yingying LuoDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-6391-4489
Jinhui MaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON Canada.ORCID 0000-0002-8033-1699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Global prevalence of type 2 diabetes mellitus (T2DM) continues to rise. This systematic review assessed the relationship between dual-energy x-ray absorptiometry (DXA) body composition measures and risk of T2DM. Methods: Ovid MEDLINE, Embase, The Cochrane Library, Web of Science, CINAHL, and the Cochrane Database of Systematic Reviews databases were searched. The review adhered to the PRISMA guidelines and employed the GRADE approach. The registration ID for this study in PROSPERO is CRD42023434571. Results: Among 3,140 papers retrieved, 9 cohort studies (59,276 individuals) were included in the analysis. Of the results that could be pooled, whole-body fat % (HR: 1.38, 95% CI: 1.32 to 1.44), trunk fat mass (HR: 1.57, 95% CI: 1.49 to 1.65), and trunk fat % (HR: 1.61, 95% CI: 1.25 to 2.07), were associated with incident T2DM in women. No fat mass measures could be pooled for men. Lean mass measures were not statistically associated with incident T2DM in women or men. Conclusion: There is an association between DXA fat measures and incident T2DM in women and there may be an association between DXA fat measures and incident T2DM in men as well. Further high-quality investigations are required to validate these findings. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-025-01712-7.

Indexed as

Body compositionDual-energy x-ray absorptiometryFatLean massSystematic reviewType 2 diabetes

Identifiers

PMID41114087
PMCPMC12528635

What OpenQuestion holds

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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.