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Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort
Congenital anomalies (CAs) are structural or functional disorders that occur during intrauterine life. Longitudinal cohort studies provide unique opportunities to investigate potential causes and consequences of these disorders. In this data note, we describe how we identified cases of major CAs, wi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871361/ https://www.ncbi.nlm.nih.gov/pubmed/33628950 http://dx.doi.org/10.12688/wellcomeopenres.16339.2 |
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author | Taylor, Kurt Thomas, Richard Mumme, Mark Golding, Jean Boyd, Andy Northstone, Kate Caputo, Massimo A Lawlor, Deborah |
author_facet | Taylor, Kurt Thomas, Richard Mumme, Mark Golding, Jean Boyd, Andy Northstone, Kate Caputo, Massimo A Lawlor, Deborah |
author_sort | Taylor, Kurt |
collection | PubMed |
description | Congenital anomalies (CAs) are structural or functional disorders that occur during intrauterine life. Longitudinal cohort studies provide unique opportunities to investigate potential causes and consequences of these disorders. In this data note, we describe how we identified cases of major CAs, with a specific focus on congenital heart diseases (CHDs), in the Avon Longitudinal Study of Parents and Children (ALSPAC). We demonstrate that combining multiple sources of data including data from antenatal, delivery, primary and secondary health records, and parent-reported information can improve case ascertainment. Our approach identified 590 participants with a CA according to the European Surveillance of Congenital Anomalies (EUROCAT) guidelines, 127 of whom had a CHD. We describe the methods that identified these cases and provide statistics on subtypes of anomalies. The data note contains details on the processes required for researchers to access these data. |
format | Online Article Text |
id | pubmed-7871361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-78713612021-02-23 Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort Taylor, Kurt Thomas, Richard Mumme, Mark Golding, Jean Boyd, Andy Northstone, Kate Caputo, Massimo A Lawlor, Deborah Wellcome Open Res Data Note Congenital anomalies (CAs) are structural or functional disorders that occur during intrauterine life. Longitudinal cohort studies provide unique opportunities to investigate potential causes and consequences of these disorders. In this data note, we describe how we identified cases of major CAs, with a specific focus on congenital heart diseases (CHDs), in the Avon Longitudinal Study of Parents and Children (ALSPAC). We demonstrate that combining multiple sources of data including data from antenatal, delivery, primary and secondary health records, and parent-reported information can improve case ascertainment. Our approach identified 590 participants with a CA according to the European Surveillance of Congenital Anomalies (EUROCAT) guidelines, 127 of whom had a CHD. We describe the methods that identified these cases and provide statistics on subtypes of anomalies. The data note contains details on the processes required for researchers to access these data. F1000 Research Limited 2021-04-14 /pmc/articles/PMC7871361/ /pubmed/33628950 http://dx.doi.org/10.12688/wellcomeopenres.16339.2 Text en Copyright: © 2021 Taylor K et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Note Taylor, Kurt Thomas, Richard Mumme, Mark Golding, Jean Boyd, Andy Northstone, Kate Caputo, Massimo A Lawlor, Deborah Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort |
title | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort |
title_full | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort |
title_fullStr | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort |
title_full_unstemmed | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort |
title_short | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort |
title_sort | ascertaining and classifying cases of congenital anomalies in the alspac birth cohort |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871361/ https://www.ncbi.nlm.nih.gov/pubmed/33628950 http://dx.doi.org/10.12688/wellcomeopenres.16339.2 |
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