Evidence mapPaperPMID 40496554Full record

ArticleFrontiers in endocrinology2025

Development and validation of a LASSO logistic regression based nomogram for predicting live births in women with polycystic ovary syndrome: a retrospective cohort study.

Yue Liu, Jingshu Gao, Hang Ge, Jiaxing Feng, Yu Wang, Xiaoke Wu

Abstract readValidation Study
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yue Liu *Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Jingshu Gao *The First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Hang GeGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Jiaxing FengThe First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Yu WangThe First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Xiaoke WuThe First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live births in Chinese women with PCOS, as well as to identify the risk factors affecting live births in this population. Methods: Data for this study were obtained from a large clinical trial known as PCOSAct in mainland China. A total of 927 patients with PCOS were investigated using stratified random sampling. The mean-filling method was used to address missing data, and Lasso-Logistic regression was combined with machine learning models to identify the most significant predictors of live births. A nomogram was constructed based on a multivariate logistic regression model and was evaluated using receiver operating characteristic curves (ROC), calibration curves and clinical decision curves to assess model discrimination, calibration and clinical validity. Results: In the training set, estradiol, potassium ion, total cholesterol, alanine aminotransferase, and free androgen index were identified as key risk factors influencing live birth rates in PCOS patients. In this study, we demonstrated that elevated levels of estradiol and potassium ions, coupled with reduced levels of total cholesterol, alanine aminotransferase, and free androgen index (FAI), significantly improved insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS). These biochemical alterations facilitated weight reduction and normalized endocrine function, thereby enhancing the live birth rate among PCOS patients. The nomogram developed from this multivariate model underwent validation by both internal (AUC:0.649; 95% CI [0.605~0.694]) and external (AUC:0.709; 95% CI [0.616~0.801]) assessments. The results have strong predictive accuracy, reliability, and generalizability for live birth. Conclusion: The nomogram developed in this study is a valid tool for assessing live births in patients with PCOS. This tool will assist clinicians in assessing the risks associated with live births in patients with PCOS and enable them to implement more effective preventive measures.

Indexed as

Live BirthNomogramsPolycystic Ovary SyndromeAdultChinaFemaleHumansInsulin ResistanceLogistic ModelsPregnancyRetrospective StudiesRisk FactorsYoung Adultlasso-logistic regressionlive birthnomogrampolycystic ovarian syndromeprediction model

Identifiers

PMID40496554
PMCPMC12148842

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.