Evidence map›Paper›PMID 31477766›Full record

SynthesisScientific reports2019

The Association between Body Composition using Dual energy X-ray Absorptiometry and Type-2 Diabetes: A Systematic Review and Meta-Analysis of Observational studies.

Preeti Gupta, Carla Lanca, Alfred T L Gan, Pauline Soh, Sahil Thakur, Yijin Tao, Neelam Kumari, Ryan E K Man, Eva K Fenwick, Ecosse L Lamoureux

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 5 pooled it
3.3field-weighted citation impact, top 7% of its field
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

37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. The Role of Fat-Free Mass in Weight-Related Complications: A Rapid Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

10 authors at 1 institution in 1 country.

Preeti GuptaSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Carla LancaSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.ORCID http://orcid.org/0000-0001-9918-787X
Alfred T L GanSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Pauline SohSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Sahil ThakurSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Yijin TaoSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Neelam KumariSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Ryan E K ManSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Eva K FenwickSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore.
Ecosse L LamoureuxSingapore Eye Research Institute, Singapore and Singapore National Eye Centre, Singapore, Singapore. ecosse.lamoureux@seri.com.sg.
Singapore National Eye Center · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between objective measures of body composition (BC) with type 2 diabetes (T2DM) is inconclusive. We conducted a systematic review and meta-analysis to examine the association between several body composition (BC) indices assessed using dual energy X-ray absorptiometry (DXA), and T2DM. Using PRISMA guidelines, we searched for observational studies investigating BC measures, including total body fat mass (BFM), visceral fat mass (VFM), subcutaneous fat mass (SFM), and fat free mass (FFM); and T2DM. Of 670 titles initially identified, 20 were included. High VFM was consistently associated with T2DM. For every kg increase in VFM, the odds of having T2DM increased by two-fold for males (OR 2.28 [95% CI 1.42 to 3.65], p = 0.001) and more than 4-fold for females (OR 4.24 [1.64 to 11.02], p = 0.003). The presence of T2DM was associated with 2-fold higher odds of low FFM (OR 2.38 [1.44 to 3.95]). We found evidence that greater VFM is a risk factor for prevalent and incident T2DM. While the presence of T2DM is associated with reduced FFM; the relationship between FFM and BFM with T2DM remains unclear. Reducing VFM and increasing FFM through lifestyle changes may reduce the risk of T2DM and mitigate its deleterious effect on BC, respectively.

Indexed as

Absorptiometry, PhotonBody CompositionObservational Studies as TopicAdiposityDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedMusclesOdds RatioOrgan Size

Identifiers

PMID31477766
PMCPMC6718404
OpenAlexW2971789176

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.