Evidence map›Paper›PMID 41601824›Full record

ArticleFrontiers in medicine2025

Development and validation of a nomogram model for predicting postoperative complications of cesarean scar pregnancy based on clinical data.

Peiya Cai, Xiaolan Huang, Peiru Zhang

Abstract read
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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Peiya Cai *Department of Reproductive Medicine, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Xiaolan Huang *Department of Reproductive Medicine, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Peiru ZhangDepartment of Reproductive Medicine, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: Cesarean scar pregnancy (CSP) is a rare but increasingly prevalent form of ectopic pregnancy, often associated with severe postoperative complications. Current research lacks robust tools to predict these complications. This study aimed to develop and validate a clinical nomogram to assess the risk of postoperative complications in CSP patients using multidimensional clinical data. Methods: A retrospective cohort of 917 patients diagnosed with CSP between December 2015 and March 2024 was analyzed. Patients were randomly assigned to a training set ( Results: Four independent predictors of postoperative complications were identified: gestational age, interval since last cesarean section, residual myometrial thickness at the scar site, and intraoperative blood loss. The nomogram showed excellent discrimination with AUCs of 0.868 and 0.865 in the training and validation cohorts, respectively. Calibration and decision curve analyses confirmed good predictive accuracy and clinical utility. Conclusion: The developed nomogram effectively predicts postoperative complications in CSP patients and can guide early clinical interventions and personalized treatment strategies, enhancing patient safety and outcomes.

Indexed as

cesarean scar pregnancymultivariate logistic regressionnomogram modelpostoperative complicationsrisk prediction

Identifiers

PMID41601824
PMCPMC12832991

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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 OpenQuestion graph.