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Historical overview of development in methods to estimate burden of disease due to congenital disorders
Congenital disorders (often also called birth defects) are an important cause of mortality and disability. They encompass a wide range of disorders with differing severity that can affect any aspect of structure or function. Understanding their epidemiology is important in developing appropriate ser...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167262/ https://www.ncbi.nlm.nih.gov/pubmed/30209753 http://dx.doi.org/10.1007/s12687-018-0382-4 |
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author | Modell, Bernadette Darlison, Matthew W Lawn, Joy E |
author_facet | Modell, Bernadette Darlison, Matthew W Lawn, Joy E |
author_sort | Modell, Bernadette |
collection | PubMed |
description | Congenital disorders (often also called birth defects) are an important cause of mortality and disability. They encompass a wide range of disorders with differing severity that can affect any aspect of structure or function. Understanding their epidemiology is important in developing appropriate services both for their prevention and treatment. The need for epidemiological data on congenital disorders has been recognised for many decades. Here, we provide a historical overview of work that has led to the development of the Modell Global Database of Congenital Disorders (MGDb)—a tool that can be used to generate evidence-based country, regional and global estimates of the birth prevalence and outcomes of congenital disorders. |
format | Online Article Text |
id | pubmed-6167262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61672622018-10-12 Historical overview of development in methods to estimate burden of disease due to congenital disorders Modell, Bernadette Darlison, Matthew W Lawn, Joy E J Community Genet Original Article Congenital disorders (often also called birth defects) are an important cause of mortality and disability. They encompass a wide range of disorders with differing severity that can affect any aspect of structure or function. Understanding their epidemiology is important in developing appropriate services both for their prevention and treatment. The need for epidemiological data on congenital disorders has been recognised for many decades. Here, we provide a historical overview of work that has led to the development of the Modell Global Database of Congenital Disorders (MGDb)—a tool that can be used to generate evidence-based country, regional and global estimates of the birth prevalence and outcomes of congenital disorders. Springer Berlin Heidelberg 2018-09-12 2018-10 /pmc/articles/PMC6167262/ /pubmed/30209753 http://dx.doi.org/10.1007/s12687-018-0382-4 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Modell, Bernadette Darlison, Matthew W Lawn, Joy E Historical overview of development in methods to estimate burden of disease due to congenital disorders |
title | Historical overview of development in methods to estimate burden of disease due to congenital disorders |
title_full | Historical overview of development in methods to estimate burden of disease due to congenital disorders |
title_fullStr | Historical overview of development in methods to estimate burden of disease due to congenital disorders |
title_full_unstemmed | Historical overview of development in methods to estimate burden of disease due to congenital disorders |
title_short | Historical overview of development in methods to estimate burden of disease due to congenital disorders |
title_sort | historical overview of development in methods to estimate burden of disease due to congenital disorders |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167262/ https://www.ncbi.nlm.nih.gov/pubmed/30209753 http://dx.doi.org/10.1007/s12687-018-0382-4 |
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