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甘油三酯-葡萄糖指数与多囊卵巢综合征之间的关联:一项针对不同人群的系统评价和荟萃分析

The association between triglyceride-glucose index and polycystic ovary syndrome: a systematic review and meta-analysis across different populations.

作者信息

Javidan Amin, Azarboo Alireza, Jalali Sayeh, Fallahtafti Parisa, Moayyed Shabboo, Ghaemi Marjan, Tarafdari Azadeh, Hantoushzade Sedigheh

机构信息

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Eye Research Center, The Five Senses Health Institute, Moheb Kowsar Hospital, Eye Research Center, The Five Senses Health Institute, Moheb Kowsar Hospital, Iran University of Medical Sciences, Tehran, Iran.

出版信息

J Ovarian Res. 2025 Jul 25;18(1):163. doi: 10.1186/s13048-025-01717-z.

DOI:10.1186/s13048-025-01717-z
PMID:40713814
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12291403/
Abstract

BACKGROUND

Polycystic ovary syndrome (PCOS) is a common disorder affecting women of reproductive age. The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistence, has gained attention for its simplicity and diagnostic accuracy across metabolic disorders. This study aims to assess the association of the TyG index with PCOS.

METHODS

A systematic review and meta-analysis were conducted following PRISMA guidelines. PubMed, Scopus, Embase, and Web of Science were searched up to December 2024. Observational studies reporting TyG indices in PCOS and control groups were included. Subgroup and meta-regression analyses explored sources of heterogeneity. Sensitivity analysis and publication bias assessments ensured robustness.

RESULTS

Fifteen studies (7,175 participants) were analyzed. The TyG index was significantly higher in women with PCOS compared to non-PCOS controls (SMD 0.34, 95% CI 0.14-0.54). Subgroup analysis revealed a significant association in Chinese studies (SMD 0.42, 95% CI 0.35-0.49) and cross-sectional studies (SMD 0.45, 95% CI 0.32-0.57). The TyG index exhibited excellent diagnostic accuracy for distinguishing PCOS patients with metabolic syndrome (AUC 0.91, 95% CI 0.85-0.96). Similarly, the TyG-BMI index showed a significant association with PCOS (SMD 0.34, 95% CI 0.10-0.57) and considerable diagnostic performance for insulin resistance in PCOS population (AUC 0.81, 95% CI 0.75-0.88). Meta-regression analysis identified no significant impact of age, body mass index (BMI), or lipid profiles on heterogeneity.

CONCLUSIONS

The TyG index demonstrates strong potential for PCOS screening, though cut-off values require further validation and accuracy may differ across populations.

摘要

背景

多囊卵巢综合征(PCOS)是一种影响育龄女性的常见疾病。甘油三酯-葡萄糖(TyG)指数作为胰岛素抵抗的替代指标,因其简单性和在代谢紊乱中的诊断准确性而受到关注。本研究旨在评估TyG指数与PCOS之间的关联。

方法

按照PRISMA指南进行系统评价和荟萃分析。检索了截至2024年12月的PubMed、Scopus、Embase和Web of Science数据库。纳入报告PCOS组和对照组TyG指数的观察性研究。亚组分析和荟萃回归分析探讨了异质性来源。敏感性分析和发表偏倚评估确保了研究的稳健性。

结果

分析了15项研究(7175名参与者)。与非PCOS对照组相比,PCOS女性的TyG指数显著更高(标准化均数差0.34,95%可信区间0.14 - 0.54)。亚组分析显示,在中国的研究(标准化均数差0.42,95%可信区间0.35 - 0.49)和横断面研究(标准化均数差0.45,95%可信区间0.32 - 0.57)中存在显著关联。TyG指数在区分患有代谢综合征的PCOS患者方面表现出优异的诊断准确性(曲线下面积0.91,95%可信区间0.85 - 0.96)。同样,TyG-BMI指数与PCOS也存在显著关联(标准化均数差0.34,95%可信区间0.10 - 0.57),并且在PCOS人群中对胰岛素抵抗具有相当的诊断性能(曲线下面积0.81,95%可信区间0.75 - 0.88)。荟萃回归分析表明,年龄、体重指数(BMI)或血脂水平对异质性没有显著影响。

结论

TyG指数在PCOS筛查中显示出强大的潜力,尽管临界值需要进一步验证,且不同人群的准确性可能有所差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/c6bf5a80c25b/13048_2025_1717_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/dc08f2a47bad/13048_2025_1717_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/02fd30f845c7/13048_2025_1717_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/c6bf5a80c25b/13048_2025_1717_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/dc08f2a47bad/13048_2025_1717_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/6e6c0b020b09/13048_2025_1717_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/d393a62531dc/13048_2025_1717_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/3f73da7d05ca/13048_2025_1717_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/02fd30f845c7/13048_2025_1717_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293a/12291403/c6bf5a80c25b/13048_2025_1717_Fig7_HTML.jpg

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