Evidence map›Paper›PMID 36277708›Full record

ArticleFrontiers in endocrinology2022

Dose-response relationship between Chinese visceral adiposity index and type 2 diabetes mellitus among middle-aged and elderly Chinese.

Liang Pan, Qianqian Xu, Jianmin Liu, Yang Gao, Jun Li, Hongye Peng, Linli Chen, Miyuan Wang, Gang Mai, Shuo Yang

Abstract read
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In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

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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

23 citing papers in PubMed, 1 synthesis or guideline 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

10 authors.

Liang PanPhase 1 Clinical Trial Center, Deyang People's Hospital, Deyang, China.
Qianqian XuDepartment of Medical Imaging Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jianmin LiuDepartment of Otolaryngology and Head and Neck Surgery, Deyang People's Hospital, Deyang, China.
Yang GaoDepartment of Pediatrics , Deyang People's Hospital, Deyang, China.
Jun LiDepartment of Nephrology , Deyang People's Hospital, Deyang, China.
Hongye PengGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Linli ChenGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Miyuan WangSchool of Public Health, Huazhong University of Science and Technology, Wuhan, China.
Gang MaiPhase 1 Clinical Trial Center, Deyang People's Hospital, Deyang, China.
Shuo YangCentral Laboratory, HuangGang Hospital of Traditional Chinese Medicine (TCM), Huanggang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: China has the largest population of diabetic patients (about 116 million) in the world. As a novel model of the fat index for Chinese people, the Chinese visceral adiposity index (CVAI) was considered a reliable indicator to assess the dysfunction of visceral fat. This study aimed to explore the dose-response relationship between CVAI and type 2 diabetes mellitus (T2DM) in the Chinese population, considering CVAI as a continuous/categorical variable. Method: Baseline and follow-up data were collected from waves 2011 and 2015, respectively, of the China Health and Retirement Longitudinal Study (CHARLS). Multivariate logistic regression models were used to explore the relationship between CVAI and T2DM. We built three models to adjust the possible effect of 10 factors (age, gender, education level, location, marital status, smoking status, drinking status, sleep time, systolic blood pressure (SBP), and diastolic blood pressure (DBP)) on the outcome. The restricted cubic splines were used to examine possible non-linear associations and visualize the dose-response relationship between CVAI and T2DM. Results: A total of 5,014 participants were included, with 602 (12.00%) T2DM patients. The last CVAI quartile group (Q4) presented the highest risk of T2DM (OR, 2.17, 95% CI, 1.67-2.83), after adjusting for all covariates. There was a non-linear (U-shaped) relationship between the CVAI and the risk of T2DM ( Conclusion: CVAI was closely associated with the risk of T2DM and might possibly be a potential marker in predicting T2DM development. The outcome suggested that it might be better to maintain CVAI within an appropriate range.

Indexed as

Diabetes Mellitus, Type 2AdiposityAgedChinaHumansLongitudinal StudiesMiddle AgedObesity, Abdominalchinese visceral adiposity indexdose–response relationshipprospective cohort studyrestricted cubic spline regressiontype 2 diabetes mellitus

Identifiers

PMID36277708
PMCPMC9579311

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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.