A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis. | LitMetric

Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis.

J Clin Endocrinol Metab

Northeast Asia Research Institute of Traditional Chinese Medicine, Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Jilin Provincial Key Laboratory of Bio-Macromolecules of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, Jilin, China.

Published: September 2024

Content: The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial.

Objective: This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes.

Data Sources: The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023.

Study Selection: After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed.

Data Extraction: We extracted odds ratio (OR) between VAI and diabetes management after controlling for mixed factors, and the sensitivity, specificity, and diagnostic 4-grid table for early prediction of diabetes.

Data Synthesis: Fifty-three studies comprising 595 946 participants were included. The findings of the meta-analysis elucidated that in cohort studies, a high VAI significantly increased the risk of diabetes mellitus in males (OR = 2.83 [95% CI, 2.30-3.49]) and females (OR = 3.32 [95% CI, 2.48-4.45]). The receiver operating characteristic, sensitivity, and specificity of VAI for early prediction of diabetes in males were 0.64 (95% CI, .62-.66), 0.57 (95% CI, .53-.61), and 0.65 (95% CI, .61-.69), respectively, and 0.67 (95% CI, .65-.69), 0.66 (95% CI, .60-.71), and 0.61 (95% CI, .57-.66) in females, respectively.

Conclusion: VAI is an independent predictor of the risk of diabetes, yet its predictive accuracy remains limited. In future studies, determine whether VAI can be used in conjunction with other related indicators to early predict the risk of diabetes, to enhance the accuracy of prediction of the risk of diabetes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403314PMC
http://dx.doi.org/10.1210/clinem/dgae303DOI Listing

Publication Analysis

Top Keywords

vai diabetes
16
risk diabetes
16
early prediction
12
diabetes
11
visceral obesity
8
vai
8
prediction diabetes
8
sensitivity specificity
8
95%
6
early
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!