Evidence map›Paper›PMID 34563209›Full record

ArticleNutrition & metabolism2021

Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study.

Meng-Ting Tsou, Yu-Chen Chang, Ching-Ping Hsu, Yang-Che Kuo, Chun-Ho Yun, Wei-Hsin Huang, Kuang-Chun Hu, Chia-Yuan Liu, Ying-Ju Chen, Kuo-Tzu Sung and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  14. Association between anthropometric indices and 5-year hypertension incidence in the general Japanese population.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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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

16 authors at 4 institutions in 1 country.

Meng-Ting TsouDepartment of Family Medicine, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Yu-Chen ChangDepartment of Family Medicine, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Ching-Ping HsuDepartment of Family Medicine, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Yang-Che KuoDepartment of Health Evaluation Center, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Chun-Ho YunDepartment of Radiology, MacKay Memorial Hospital, Taipei, Taiwan, ROC.
Wei-Hsin HuangDepartment of Family Medicine, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Kuang-Chun HuDepartment of Health Evaluation Center, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Chia-Yuan LiuDivision of Gastroenterology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Ying-Ju ChenDepartment of Telehealth, MacKay Memorial Hospital, New Taipei City, Taiwan, ROC.
Kuo-Tzu SungDepartment of Medicine, MacKay Medical College, New Taipei City, 25245, Taiwan, ROC.
Chuan-Chuan LiuDepartment of Health Evaluation Center, MacKay Memorial Hospital, Taipei City, 10449, Taiwan, ROC.
Chung-Lieh HungDepartment of Medicine, MacKay Medical College, New Taipei City, 25245, Taiwan, ROC.
Jen-Yuan KuoDepartment of Medicine, MacKay Medical College, New Taipei City, 25245, Taiwan, ROC.
Tung-Ying Chen *Department of Pathology, MacKay Memorial Hospital, 92, Sec 2, Chung Shan North Road, Taipei, 10449, Taiwan, ROC. wax921@gmail.com.
Ta-Chuan Hung *Department of Medicine, MacKay Medical College, New Taipei City, 25245, Taiwan, ROC. hung0787@ms67.hinet.net.
Hung-I YehDepartment of Medicine, MacKay Medical College, New Taipei City, 25245, Taiwan, ROC.
Mackay Memorial Hospital · TWMinistry of Health and Welfare · TWMackay Medical University · TWMackay Junior College of Medicine, Nursing and Management · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference.

methodsAmong 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences.

resultsAmong all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05-5.82 and 4.22, 95% CI: 3.53-5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (P

conclusionsOur population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women.

Indexed as

Body mass indexBody shape indexDiabetes mellitusObesityVisceral adiposity indexWaist circumference

Identifiers

PMID34563209
PMCPMC8465784
OpenAlexW3153683110

What OpenQuestion holds

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LicenceCC BY
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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.