A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study

We developed and validated a nomogram based on five ovarian reserve indicators to predict the risk of retrieving fewer than 10 oocytes at one oocyte retrieval cycle in women ≤ 35 years of age. The model demonstrated good discrimination and calibration, indicating its reliability for clinical application. This nomogram offers a practical and accurate tool for early identification of young women with potentially decreased ovarian reserve, enabling timely intervention and personalized management strategies.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2024-12-19
DOI
https://doi.org/10.3389/fendo.2024.1401385
Citations
3
Primary Topic
Assisted Reproductive Technology and Twin Pregnancy
Type
article
Field-Weighted Citation Impact
3.33

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article

A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study

Peipei Pan, Chang Liu, Yili Teng, B. Li
3 citations
Frontiers in Endocrinology
Assisted Reproductive Technology and Twin Pregnancy
3.33
article

A nomogram model to predict the high risk of lower live birth probability in young women undergoing the first IVF-ET cycle: a retrospective study

Peipei Pan, Chang Liu, Yili Teng, B. Li
article en
3 citations

Abstract

We developed and validated a nomogram based on five ovarian reserve indicators to predict the risk of retrieving fewer than 10 oocytes at one oocyte retrieval cycle in women ≤ 35 years of age. The model demonstrated good discrimination and calibration, indicating its reliability for clinical application. This nomogram offers a practical and accurate tool for early identification of young women with potentially decreased ovarian reserve, enabling timely intervention and personalized management strategies.

Frontiers in EndocrinologyVol. 15
Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Yueqing People's Hospital (CN)
National Natural Science Foundation of China
Gender equality
Openalex Percentile: Top 7%
Assisted Reproductive Technology and Twin Pregnancy
3.33
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