Prognostic models for adverse pregnancy outcomes in low-income and middle-income countries: a systematic review.
maternal health
obstetrics
systematic review
Journal
BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275
Informations de publication
Date de publication:
2019
2019
Historique:
received:
17
06
2019
revised:
09
09
2019
accepted:
05
10
2019
entrez:
22
11
2019
pubmed:
22
11
2019
medline:
22
11
2019
Statut:
epublish
Résumé
Ninety-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. A 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. 1741 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. Prognostic 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. CRD42017058044.
Identifiants
pubmed: 31749995
doi: 10.1136/bmjgh-2019-001759
pii: bmjgh-2019-001759
pmc: PMC6830054
doi:
Types de publication
Systematic Review
Langues
eng
Pagination
e001759Informations de copyright
© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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