The accuracy of lipid accumulation product to predict metabolic syndrome in PCOS: a meta-analysis and comparative analysis with other indicators - Takeaways - MDSpire

The accuracy of lipid accumulation product to predict metabolic syndrome in PCOS: a meta-analysis and comparative analysis with other indicators

  • By

  • Tingting Liu

  • Wenjie Bo

  • Qi Cao

  • Ruiying Wang

  • Xinyu Qiao

  • Yuchan Zhong

  • Jiagui Liang

  • Huiqiao Lai

  • Wei Huang

  • April 15, 2026

  • 0 min

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  • 1

    The lipid accumulation product (LAP) is a significant predictor of metabolic syndrome (MetS) in patients with polycystic ovary syndrome (PCOS).

  • 2

    A meta-analysis of 11 studies showed LAP had a pooled sensitivity of 87% and specificity of 84% for detecting MetS in PCOS patients.

  • 3

    LAP demonstrated a superior area under the receiver operating characteristic curve (AUROC) of 0.92 compared to other metrics like body mass index and waist circumference.

  • 4

    The study highlights the need for simpler, cost-effective indicators like LAP for early detection of MetS in women with PCOS.

  • 5

    MetS prevalence is significantly higher in PCOS patients (up to 47.9%) compared to the general population (approximately 6.7%).

Original Source(s)

The accuracy of lipid accumulation product to predict metabolic syndrome in PCOS: a meta-analysis and comparative analysis with other indicators

  • by Tingting Liu, Wenjie Bo, Qi Cao, Ruiying Wang, Xinyu Qiao, Yuchan Zhong, Jiagui Liang, Huiqiao Lai, Wei Huang

  • April 15, 2026

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