ArticleJournal of obstetrics and gynaecology of India2022
Predictive Model for Late Stillbirth Among Antenatal Hypertensive Women.
Article in Journal of obstetrics and gynaecology of India, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Machine Learning for Predicting Stillbirth: A Systematic Review.Reproductive sciences (Thousand Oaks, Calif.) · 2025Pooled it
- Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights?BMC pregnancy and childbirth · 2025Article
- Prediction Models for Adverse Pregnancy Outcomes in India: Methodological Considerations for an Emerging Topic.Journal of obstetrics and gynaecology of India · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To develop a predictive model for late stillbirth among women with hypertensive disorders of pregnancy (HDP) in low- and middle-income countries. Materials and Methods: Study was part of the WHO newborn birth defect (NBBD) project and included all stillbirths occurring in the facility from November 2015 to December 2020. The age and parity matched subjects with HDP having live birth were taken as controls. All significant predictors were analyzed and a predictive model was developed. Results: Out of 69,007 deliveries, 1691(24.5/1000) were stillborn. HDP was seen in (390/1691, 23.0%), in 265/390 (67.4%) cases it occurred at or after 28 weeks of gestation and were included as cases. On comparing the cases with controls, the significant factors were estimated fetal weight less than 2000 gms ( Conclusion: The predictive model could play a potential role in stillbirth prevention in women with HDP in low- and middle-income countries. Supplementary Information: The online version contains supplementary material available at 10.1007/s13224-021-01561-3.
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Registered trials
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