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      Making stillbirths visible: a systematic review of globally reported causes of stillbirth

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          Classification of stillbirth by relevant condition at death (ReCoDe): population based cohort study.

          To develop and test a new classification system for stillbirths to help improve understanding of the main causes and conditions associated with fetal death. Population based cohort study. West Midlands region. 2625 stillbirths from 1997 to 2003. Categories of death according to conventional classification methods and a newly developed system (ReCoDe, relevant condition at death). By the conventional Wigglesworth classification, 66.2% of the stillbirths (1738 of 2625) were unexplained. The median gestational age of the unexplained group was 237 days, significantly higher than the stillbirths in the other categories (210 days; P < 0.001). The proportion of stillbirths that were unexplained was high regardless of whether a postmortem examination had been carried out or not (67% and 65%; P = 0.3). By the ReCoDe classification, the most common condition was fetal growth restriction (43.0%), and only 15.2% of stillbirths remained unexplained. ReCoDe identified 57.7% of the Wigglesworth unexplained stillbirths as growth restricted. The size of the category for intrapartum asphyxia was reduced from 11.7% (Wigglesworth) to 3.4% (ReCoDe). The new ReCoDe classification system reduces the predominance of stillbirths currently categorised as unexplained. Fetal growth restriction is a common antecedent of stillbirth, but its high prevalence is hidden by current classification systems. This finding has profound implications for maternity services, and raises the question whether some hitherto "unexplained" stillbirths may be avoidable.
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            Causes of and factors associated with stillbirth in low- and middle-income countries: a systematic literature review.

            Annually, 2.6 million stillbirths occur worldwide, 98% in developing countries. It is crucial that we understand causes and contributing factors.
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              Is Open Access

              3.2 million stillbirths: epidemiology and overview of the evidence review

              More than 3.2 million stillbirths occur globally each year, yet stillbirths are largely invisible in global data tracking, policy dialogue and programme implementation. This mismatch of burden to action is due to a number of factors that keep stillbirths hidden, notably a lack of data and a lack of consensus on priority interventions, but also to social taboos that reduce the visibility of stillbirths and the associated family mourning. Whilst there are estimates of the numbers of stillbirths, to date there has been no systematic global analysis of the causes of stillbirths. The multiple classifications systems in use are often complex and are primarily focused on high-income countries. We review available data and propose a programmatic classification that is feasible and comparable across settings. We undertook a comprehensive global review of available information on stillbirths in order to 1) identify studies that evaluated risk factors and interventions to reduce stillbirths, 2) evaluate the level of evidence for interventions, 3) place the available evidence for interventions in a health systems context to guide programme implementation, and 4) elucidate key implementation, monitoring, and research gaps. This first paper in the series outlines issues in stillbirth data availability and quality, the global epidemiology of stillbirths, and describes the methodology and framework used for the review of interventions and strategies.
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                Author and article information

                Journal
                BJOG: An International Journal of Obstetrics & Gynaecology
                BJOG: Int J Obstet Gy
                Wiley-Blackwell
                14700328
                January 2018
                January 29 2018
                : 125
                : 2
                : 212-224
                Article
                10.1111/1471-0528.14971
                29193794
                62d0ef0d-be05-41de-9d93-c5904ed4e7fb
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

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