Evidence map›Paper›PMID 25410470›Full record

ArticleHerz2015

Predictive value of visceral adiposity index for type 2 diabetes mellitus: A 15-year prospective cohort study.

Y Wang, S He, J He, S Wang, K Liu, X Chen

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In one paragraph

Article in Herz, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  17. Diabetology & metabolic syndrome · 2018
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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

6 authors at 2 institutions in 1 country.

Y WangDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, 610041, Chengdu, China.
S He
J He
S Wang
K Liu
X Chen
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emerging term "visceral adiposity index (VAI)" was reported to be closely correlated with glycemic disturbances and diabetes risk. However, whether VAI could predict future type 2 diabetes mellitus (DM) is unknown. Here, we aimed to assess the predictive value of VAI for DM in a Chinese population via a prospective cohort study. PATIENTS AND

methodsThis prospective cohort study was conducted based on a 15-year follow-up in a general Chinese population from an urban community. In all, 711 subjects underwent a health examination in 1992, and in 2007 the same examination was repeated. Twenty-four subjects were excluded from the analysis because DM was diagnosed at baseline. Waist circumference (WC), body mass index (BMI), VAI, and cardiovascular risk factors were collected at baseline. Hazard ratios (HRs) for DM incidence were estimated applying Cox proportional hazards models. Paired homogeneity tests were used to explore whether there was a statistical difference between the HRs of VAI and the other two indicators.

resultsIn all, 74 individuals developed DM during a follow-up of 15 years. The risk of future DM increased with increasing levels of VAI. After adjusting for confounders, for each SD increment in natural logarithm-transformed VAI, BMI, and WC the HRs were 1.538 (95 % CI: 1.225-1.930), 1.639 (95 % CI: 1.289-2.084) and 1.858 (95 % CI: 1.458-2.369), respectively. However, paired homogeneity tests showed no statistical difference among the HRs.

conclusionVAI could independently predict DM in the Chinese study population, although the predictive power was not higher than that of simple anthropometric measures (BMI and WC). Our study does not support the clinical application of VAI; however, more studies based on different ethnic groups still need to be performed.

Indexed as

AdiposityIntra-Abdominal FatSeverity of Illness IndexAdultChinaCohort StudiesDiabetes Mellitus, Type 2FemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalencePrognosisReproducibility of ResultsRisk Assessment

Identifiers

PMID25410470
OpenAlexW2123463743

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.