Deng Ruixue, Chen Weijie, Zhang Zepeng, Zhang Jingzhou, Wang Ying, Sun Baichuan, Yin Kai, Cao Jingsi, Fan Xuechun, Zhang Yuan, Liu Huan, Fang Jinxu, Song Jiamei, Yu Bin, Mi Jia, Li Xiangyan
College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130000, Jilin, China.
College of Traditional Chinese Medicine, The First Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, Jilin, China.
J Clin Endocrinol Metab. 2024 Sep 16;109(10):2692-2707. doi: 10.1210/clinem/dgae303.
The correlation between visceral obesity index (VAI) and diabetes and accuracy of early prediction of diabetes are still controversial.
This study aims to review the relationship between high level of VAI and diabetes and early predictive value of diabetes.
The databases of PubMed, Cochrane, Embase, and Web of Science were searched until October 17, 2023.
After adjusting for confounding factors, the original study on the association between VAI and diabetes was analyzed.
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.
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.
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.
内脏脂肪指数（VAI）与糖尿病之间的相关性以及糖尿病早期预测的准确性仍存在争议。
本研究旨在综述高水平VAI与糖尿病之间的关系以及糖尿病的早期预测价值。
检索了PubMed、Cochrane、Embase和Web of Science数据库，检索截止至2023年10月17日。
在调整混杂因素后，分析了关于VAI与糖尿病关联的原始研究。
我们提取了控制混杂因素后VAI与糖尿病管理之间的比值比（OR），以及糖尿病早期预测的敏感度、特异度和诊断四格表。
纳入了53项研究，共595946名参与者。荟萃分析结果表明，在队列研究中，高VAI显著增加男性（OR = 2.83 [95% CI，2.30 - 3.49]）和女性（OR = 3.32 [95% CI，2.48 - 4.45]）患糖尿病的风险。VAI对男性糖尿病早期预测的受试者工作特征曲线、敏感度和特异度分别为0.64（95% CI，0.62 - 0.66）、0.57（95% CI，0.53 - 0.61）和0.65（95% CI，0.61 - 0.69），对女性分别为0.67（95% CI，0.65 - 0.69）、0.66（95% CI，0.60 - 0.71）和0.61（95% CI，0.57 - 0.66）。
VAI是糖尿病风险的独立预测指标，但其预测准确性仍然有限。在未来研究中，确定VAI是否可与其他相关指标联合用于早期预测糖尿病风险，以提高糖尿病风险预测的准确性。
