Chen I-Wen, Wang Wei-Ting, Wu Jheng-Yan, Yu Chia-Hung, Chang Ying-Jen, Hung Kuo-Chuan
Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan, Taiwan.
Department of Anesthesiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Front Oncol. 2025 May 9;15:1532253. doi: 10.3389/fonc.2025.1532253. eCollection 2025.
This meta-analysis aimed to evaluate the diagnostic performance of the triglyceride-glucose (TyG) index in predicting cancer occurrence.
A comprehensive literature search was conducted in Embase, Medline, Cochrane Library, and Google Scholar from inception to July 2024. Observational studies reporting the diagnostic efficacy of the TyG index in predicting cancer occurrence using ROC curve analysis were included. Pooled sensitivity, specificity, and area under the summary receiver operating characteristic (SROC) curve were calculated using a bivariate random-effects model.
Eleven studies with 46,658 participants were included. Patients with cancer had a significantly higher TyG index than those without cancer (mean difference: 0.34, 95% CI: 0.23-0.45). The pooled sensitivity and specificity of the TyG index for predicting cancer occurrence were 0.68 (95% CI: 0.62-0.74) and 0.65 (95% CI: 0.54-0.74), respectively. The area under the SROC curve was 0.72 (95% CI: 0.68-0.75), indicating good discriminatory ability. Subgroup analysis of female participants yielded similar results, with an AUC of 0.73 (95% CI: 0.69-0.77).
The TyG index demonstrates good discriminatory ability and may have potential as an adjunct screening tool to help identify individuals at a higher risk of developing cancer. However, this should be interpreted alongside other established risk factors, as many confounding factors (including cancer type, genetic predisposition, and other malignancy risk factors) must be considered. Further research is needed to establish optimal cut-off values, which likely vary across different cancer types, and to investigate their diagnostic accuracy in diverse populations.
https://www.crd.york.ac.uk/prospero/, identifier CRD42024573712.
本荟萃分析旨在评估甘油三酯-葡萄糖（TyG）指数在预测癌症发生方面的诊断性能。
从数据库建库至2024年7月，在Embase、Medline、Cochrane图书馆和谷歌学术进行了全面的文献检索。纳入使用ROC曲线分析报告TyG指数预测癌症发生诊断效能的观察性研究。采用双变量随机效应模型计算合并敏感度、特异度和汇总受试者工作特征（SROC）曲线下面积。
纳入11项研究，共46,658名参与者。癌症患者的TyG指数显著高于无癌症患者（平均差异：0.34，95%CI：0.23 - 0.45）。TyG指数预测癌症发生的合并敏感度和特异度分别为0.68（95%CI：0.62 - 0.74）和0.65（95%CI：0.54 - 0.74）。SROC曲线下面积为0.72（95%CI：0.68 - 0.75），表明具有良好的鉴别能力。女性参与者的亚组分析得出类似结果，AUC为0.73（95%CI：0.69 - 0.77）。
TyG指数显示出良好的鉴别能力，可能有潜力作为辅助筛查工具，帮助识别患癌风险较高的个体。然而，这应与其他既定风险因素一起解读，因为必须考虑许多混杂因素（包括癌症类型、遗传易感性和其他恶性肿瘤风险因素）。需要进一步研究以确定最佳截断值，其可能因不同癌症类型而异，并调查其在不同人群中的诊断准确性。
