ArticleClinics (Sao Paulo, Brazil)2024
Development and internal validation of a clinical prediction model for spontaneous abortion risk in early pregnancy.
Article in Clinics (Sao Paulo, Brazil), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Determining risk factors predicting miscarriage among couples undergoing assisted reproductive treatment: a systematic review.BMC pregnancy and childbirth · 2026Pooled it
- Predicting Miscarriage Risk Based on Periodontal and Hematological Parameters Using Artificial Neural Network and XGBoost Models.Diagnostics (Basel, Switzerland) · 2026Article
- The relationship between first trimester maternal diet and early pregnancy loss: a retrospective case-control study.BMC pregnancy and childbirth · 2026Article
- Are Inflammatory Markers and Periodontitis Effective in Predicting Miscarriage?Healthcare (Basel, Switzerland) · 2025Article
- Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia.Scientific reports · 2025Article
- Mental Health in Early Pregnancy and Spontaneous Abortion Risk: A Prospective Cohort Study.Alpha psychiatry · 2024Article
- Comparison of zinc levels in mothers with and without abortion: A systematic review and meta-analysiss.Heliyon · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to develop and internally validate a prediction model for estimating the risk of spontaneous abortion in early pregnancy.
methodsThis prospective cohort study included 9,895 pregnant women who received prenatal care at a maternal health facility in China from January 2021 to December 2022. Data on demographics, medical history, lifestyle factors, and mental health were collected. A multivariable logistic regression analysis was performed to develop the prediction model with spontaneous abortion as the outcome. The model was internally validated using bootstrapping techniques, and its discrimination and calibration were assessed.
resultsThe spontaneous abortion rate was 5.95% (589/9,895) 1. The final prediction model included nine variables: maternal age, history of embryonic arrest, thyroid dysfunction, polycystic ovary syndrome, assisted reproduction, exposure to pollution, recent home renovation, depression score, and stress score 1. The model showed good discrimination with a C-statistic of 0.88 (95% CI 0.87‒0.90) 1, and its calibration was adequate based on the Hosmer-Lemeshow test (p = 0.27).
conclusionsThe prediction model demonstrated good performance in estimating spontaneous abortion risk in early pregnancy based on demographic, clinical, and psychosocial factors. Further external validation is recommended before clinical application.
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Registered trials
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.