SynthesisBMC pregnancy and childbirth2023
Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis.
Synthesis in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Binational Analysis of Maternal Mortality Between Brazil and Portugal in 2020-2023: A Population-Based Epidemiological Study.Nursing reports (Pavia, Italy) · 2026Article
- Incremental prognostic value of the fibrinogen-to-albumin ratio for adverse perinatal outcomes in preeclampsia: a dual-center retrospective cohort study.Frontiers in endocrinology · 2026Article
- Urban-rural disparities in the trends and causes of maternal deaths in Jinan, 1991-2025: a longitudinal trend analysis.Frontiers in public health · 2026Article
- Sub-national analysis of intimate partner violence and termination of pregnancy among ever-in-union women in South Africa.Scientific reports · 2025Article
- Cost and cost-effectiveness analysis of point-of-care ultrasound (POCUS) in obstetrics: a systematic review protocol.BMJ open · 2025Article
- Trends in maternal mortality in Latin America and the caribbean: a joinpoint analysis.BMC women's health · 2025Observational
- Maternal Death: Retrospective Autopsy Study in Southwestern Colombia, 2000-2023.International journal of environmental research and public health · 2025Observational
- The construction and validation of a prediction model of hypertensive disease in pregnancy.Scientific reports · 2025Article
- Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: a 20-year study across Chinese counties.Frontiers in public health · 2025Article
- Effect of Vitamin D Deficiency on Arterial Stiffness in Pregnant Women with Preeclampsia and Pregnancy-Induced Hypertension and Implications for Fetal Development.Biomedicines · 2024Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMaternal mortality is a universal public health challenge. ICD-Maternal Mortality (ICD-MM) was introduced in 2012 to facilitate the gathering, analysis, and interpretation of data on maternal deaths worldwide. The present study aimed to estimate the global prevalence of maternal death causes through a systematic review and meta-analysis.
methodsA systematic literature search was conducted using various databases, including Web of Science, PubMed, Scopus, ScienceDirect, Cochrane Library, as well as Persian databases such as MagIran and Scientific Information Database (SID). The search encompassed articles published until August 21, 2022. Thirty-four eligible articles were included in the final analysis. Analysis was performed using a meta-analysis approach. The exact Clopper-Pearson confidence intervals, heterogeneity assessment, and random effects models with Mantel-Haenszel methods were employed using the STATA software version 14.2.
resultsThe most prevalent causes of maternal deaths, listed in descending order from highest to lowest prevalence, were non-obstetric complications (48.32%), obstetric hemorrhage (17.63%), hypertensive disorders of pregnancy, childbirth, and the puerperium (14.01%), other obstetric complications (7.11%), pregnancy with abortive outcome (5.41%), pregnancy-related infection (5.26%), unanticipated complications of management (2.25%), unknown/undetermined causes (2.01%), and coincidental causes (1.59%), respectively.
conclusionNon-obstetric complications, obstetric hemorrhage, and hypertensive disorders of pregnancy, childbirth, and puerperium were the most common causes of maternal deaths. To reduce the burden of maternal mortality causes, increasing awareness and promoting self-care management among women of reproductive age, and implementing effective screening mechanisms for high-risk mothers during pregnancy, childbirth, and the puerperium can play a significant role. ICD-MM enables the uniform collection and comparison of maternal death information at different levels (local, national, and international) by facilitating the consistent collection, analysis, and interpretation of data on maternal deaths. Our findings can be utilized by policymakers and managers at various levels to facilitate necessary planning aimed at reducing the burden of maternal mortality causes.
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