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Prognostic models for adverse pregnancy outcomes in low-income and middle-income countries: a systematic review

التفاصيل البيبلوغرافية
العنوان: Prognostic models for adverse pregnancy outcomes in low-income and middle-income countries: a systematic review
المؤلفون: Kerstin Klipstein-Grobusch, Kitty Bloemenkamp, Joyce L Browne, Marcus J Rijken, Mary Amoakoh-Coleman, Tessa Heestermans, Beth Payne, Gbenga Ayodele Kayode, Ewoud Schuit
المصدر: BMJ Global Health, Vol 4, Iss 5 (2019)
بيانات النشر: BMJ Publishing Group, 2019.
سنة النشر: 2019
المجموعة: LCC:Medicine (General)
LCC:Infectious and parasitic diseases
مصطلحات موضوعية: Medicine (General), R5-920, Infectious and parasitic diseases, RC109-216
الوصف: 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 numberCRD42017058044.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2059-7908
Relation: https://gh.bmj.com/content/4/5/e001759.full; https://doaj.org/toc/2059-7908
DOI: 10.1136/bmjgh-2019-001759
URL الوصول: https://doaj.org/article/9d92e1b3833d4ef4a2114b7f3ba534f1
رقم الأكسشن: edsdoj.9d92e1b3833d4ef4a2114b7f3ba534f1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20597908
DOI:10.1136/bmjgh-2019-001759