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Estimating the birth prevalence and pregnancy outcomes of congenital malformations worldwide.
Moorthie, Sowmiya; Blencowe, Hannah; Darlison, Matthew W; Lawn, Joy; Morris, Joan K; Modell, Bernadette; Bittles, A H; Blencowe, H; Christianson, A; Cousens, S; Darlison, M W; Gibbons, S; Hamamy, H; Khoshnood, B; Howson, C P; Lawn, J; Mastroiacovo, P; Modell, B; Moorthie, S; Morris, J K; Mossey, P A; Neville, A J; Petrou, M; Povey, S; Rankin, J; Schuler-Faccini, L; Wren, C; Yunnis, K A.
  • Moorthie S; PHG Foundation, 2 Worts Causeway, Cambridge, UK.
  • Blencowe H; Centre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Darlison MW; Centre for Health Informatics and Multiprofessional Education (CHIME), University College London, London, UK. m.darlison@ucl.ac.uk.
  • Lawn J; Centre for Maternal, Adolescent, Reproductive, and Child Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Morris JK; Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Modell B; Centre for Health Informatics and Multiprofessional Education (CHIME), University College London, London, UK.
J Community Genet ; 9(4): 387-396, 2018 Oct.
Article en En | MEDLINE | ID: mdl-30218347
Congenital anomaly registries have two main surveillance aims: firstly to define baseline epidemiology of important congenital anomalies to facilitate programme, policy and resource planning, and secondly to identify clusters of cases and any other epidemiological changes that could give early warning of environmental or infectious hazards. However, setting up a sustainable registry and surveillance system is resource-intensive requiring national infrastructure for recording all cases and diagnostic facilities to identify those malformations that that are not externally visible. Consequently, not all countries have yet established robust surveillance systems. For these countries, methods are needed to generate estimates of prevalence of these disorders which can act as a starting point for assessing disease burden and service implications. Here, we describe how registry data from high-income settings can be used for generating reference rates that can be used as provisional estimates for countries with little or no observational data on non-syndromic congenital malformations.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prevalence_studies / Risk_factors_studies Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prevalence_studies / Risk_factors_studies Idioma: En Año: 2018 Tipo del documento: Article