SynthesisBMJ global health2019
Prognostic models for adverse pregnancy outcomes in low-income and middle-income countries: a systematic review.
Synthesis in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association between arsenic exposure and intrauterine growth restriction: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Prediction Models for Prognosis of Cervical Cancer: Systematic Review and Critical Appraisal.Frontiers in public health · 2021Pooled it
- Validation of the miniPIERS model and a prognostic model for perinatal death in hypertensive pregnancy: Insights from the PREECARDIA study in Guinea-Bissau.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Prediction of low 5-minute Apgar scores: development and internal validation of parity-stratified clinical prediction models for sub-Saharan Africa.BMC pregnancy and childbirth · 2026Article
- Role of PD-L1 in the Pathogenesis of Pre-Eclampsia and Its Association with Adverse Fetal Outcomes.Turk patoloji dergisi · 2026Article
- High-altitude pregnancy adaptation: evidence from a Himalayan population in Leh.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Predicting complications in hypertensive disorders of pregnancy: external validation of a prognostic model for adverse perinatal outcomes.AJOG global reports · 2025Article
- The construction and validation of a prediction model of hypertensive disease in pregnancy.Scientific reports · 2025Article
- Pre-eclampsia.Nature reviews. Disease primers · 2023Review
- Article
- A multistate competing risks framework for preconception prediction of pregnancy outcomes.BMC medical research methodology · 2022Article
- Development of a clinical prediction model for perinatal deaths in low resource settings.EClinicalMedicine · 2022Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNinety-nine per cent of all maternal and neonatal deaths occur in low-income and middle-income countries (LMIC). Prognostic models can provide standardised risk assessment to guide clinical management and can be vital to reduce and prevent maternal and perinatal mortality and morbidity. This review provides a comprehensive summary of prognostic models for adverse maternal and perinatal outcomes developed and/or validated in LMIC.
methodsA systematic search in four databases (PubMed/Medline, EMBASE, Global Health Library and The Cochrane Library) was conducted from inception (1970) up to 2 May 2018. Risk of bias was assessed with the PROBAST tool and narratively summarised.
results1741 articles were screened and 21 prognostic models identified. Seventeen models focused on maternal outcomes and four on perinatal outcomes, of which hypertensive disorders of pregnancy (n=9) and perinatal death including stillbirth (n=4) was most reported. Only one model was externally validated. Thirty different predictors were used to develop the models. Risk of bias varied across studies, with the item 'quality of analysis' performing the least.
conclusionPrognostic models can be easy to use, informative and low cost with great potential to improve maternal and neonatal health in LMIC settings. However, the number of prognostic models developed or validated in LMIC settings is low and mirrors the 10/90 gap in which only 10% of resources are dedicated to 90% of the global disease burden. External validation of existing models developed in both LMIC and high-income countries instead of developing new models should be encouraged. PROSPERO REGISTRATION NUMBER: CRD42017058044.
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