Evidence mapPaperPMID 34592063Full record

SynthesisJournal of diabetes investigation2022

Association between visceral adiposity index and risk of prediabetes: A meta-analysis of observational studies.

Dan Wang, Rui Fang, Haicheng Han, Jidong Zhang, Kaifei Chen, Xiaoqing Fu, Qinghu He, Yong Yang

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of diabetes investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

8 authors.

Dan WangHangzhou Normal University, Hangzhou, China.ORCID https://orcid.org/0000-0003-4979-8511
Rui FangHunan University of Chinese Medicine, Changsha, China.
Haicheng HanHangzhou Normal University, Hangzhou, China.
Jidong ZhangHunan University of Chinese Medicine, Changsha, China.
Kaifei ChenZhejiang Chinese Medical University, Hangzhou, China.
Xiaoqing FuZhejiang Chinese Medical University, Hangzhou, China.
Qinghu HeHunan University of Medicine, Huaihua, China.
Yong YangHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China.

Funding

the project commissioned by the State Administration of Traditional Chinese Medicine GZY-YZS-2018-037the Science and Technology Development Plan of Hangzhou 20180417A03
6 · The paper itself

Abstract

BACKGROUND AND

objectiveEpidemiological studies suggested that the association between the visceral adiposity index (VAI) and the risk of prediabetes is inconsistent. Whether VAI is a useful predictor of prediabetes remains unclear. Up until April 2021, there had been no systematic review on this topic. In this meta-analysis, the available observational epidemiological evidence was synthesized to identify the association between VAI and prediabetes risk.

methodsPubMed, EMBASE, and Cochrane databases in any language were searched systematically from the earliest available online indexing year to April 2021 for relevant observational studies published on the association between VAI and the risk of prediabetes. A random effects model was used to combine quantitatively the odds ratios (ORs) and 95% confidence intervals (CIs).

resultsTen relevant studies (2 cohort study, 2 case-control studies, and 6 cross-sectional studies) involving 112,603 participants were identified. Compared with the highest VAI, the lowest level of VAI was associated with an increased risk of prediabetes. The pooled OR of VAI for prediabetes was 1.68 (95% CI: 1.44-1.96), with significant heterogeneity across the included studies (P = 0.000, I

conclusionsIntegrated epidemiological evidence supports the hypothesis that VAI is a lipid combined anthropometric index and may be a risk factor for prediabetes. VAI may be related to a high risk of prediabetes. However, it should be noted that the included studies have a publication bias and there was significant heterogeneity between our pooled estimate.

Indexed as

Prediabetic StateAdiposityCohort StudiesCross-Sectional StudiesHumansIntra-Abdominal FatObservational Studies as TopicRisk FactorsMeta-analysisPrediabetesVisceral adipose index

Identifiers

PMID34592063
PMCPMC8902389

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.