ArticleJournal of perinatology : official journal of the California Perinatal Association2021
Clinical risk models for preterm birth less than 28 weeks and less than 32 weeks of gestation using a large retrospective cohort.
Article in Journal of perinatology : official journal of the California Perinatal Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- First-Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration.BMC pregnancy and childbirth · 2024Article
- Node embedding-based graph autoencoder outlier detection for adverse pregnancy outcomes.Scientific reports · 2023Article
- Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women.PloS one · 2023Article
- Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.BMC pregnancy and childbirth · 2022Article
- PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks.BioData mining · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectiveTo develop risk prediction models for singleton preterm birth (PTB) < 28 weeks and <32 weeks.
methodsUsing a retrospective cohort of 267,226 singleton births in Ontario hospitals, we included variables from the first and second trimester in multivariable logistic regression models to predict overall and spontaneous PTB < 28 weeks and <32 weeks.
resultsDuring the first trimester, the area under the curve (AUC) for prediction of PTB < 28 weeks for nulliparous and multiparous women was 68.5% (95% CI: 63.5-73.6%) and 73.4% (68.6-78.2%), respectively, while for PTB < 32 weeks it was 68.9% (65.5-72.3%) and 75.5% (72.3-78.7%), respectively. AUCs for second-trimester models were 72.4% (95% CI: 69.7-75.1%) and 78.2% (95% CI: 75.8-80.5%), respectively, in nulliparous and multiparous women. Predicted probabilities were well-calibrated within a wide range around expected base prevalence for the study outcomes.
conclusionsOur prediction models generated acceptable AUCs for PTB < 28 weeks and <32 weeks with good calibration during the first and second trimester.
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Registered trials
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