Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved]
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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wellcome
2021-04-01
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| Series: | Wellcome Open Research |
| Online Access: | https://wellcomeopenresearch.org/articles/5-231/v2 |
| _version_ | 1819282444188123136 |
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| author | Kurt Taylor Richard Thomas Mark Mumme Jean Golding Andy Boyd Kate Northstone Massimo Caputo Deborah A Lawlor |
| author_facet | Kurt Taylor Richard Thomas Mark Mumme Jean Golding Andy Boyd Kate Northstone Massimo Caputo Deborah A Lawlor |
| author_sort | Kurt Taylor |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-24T01:15:41Z |
| format | Article |
| id | doaj.art-0842c73853ba4e9e89d8b28850081596 |
| institution | Directory Open Access Journal |
| issn | 2398-502X |
| language | English |
| last_indexed | 2024-12-24T01:15:41Z |
| publishDate | 2021-04-01 |
| publisher | Wellcome |
| record_format | Article |
| series | Wellcome Open Research |
| spelling | doaj.art-0842c73853ba4e9e89d8b288500815962022-12-21T17:22:46ZengWellcomeWellcome Open Research2398-502X2021-04-01510.12688/wellcomeopenres.16339.218366Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved]Kurt Taylor0Richard Thomas1Mark Mumme2Jean Golding3Andy Boyd4Kate Northstone5Massimo Caputo6Deborah A Lawlor7Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UKDepartment of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UKAvon Longitudinal Study of Parents and Children (ALSPAC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UKCentre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UKDepartment of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UKDepartment of Population Health Science, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UKDepartment of Translational Science, Bristol Medical School, University of Bristol, Bristol, BS2 8DZ, UKBristol NIHR Biomedical Research Center, University of Bristol, Bristol, BS1 2NT, UKCongenital 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.https://wellcomeopenresearch.org/articles/5-231/v2 |
| spellingShingle | Kurt Taylor Richard Thomas Mark Mumme Jean Golding Andy Boyd Kate Northstone Massimo Caputo Deborah A Lawlor Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved] Wellcome Open Research |
| title | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved] |
| title_full | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved] |
| title_fullStr | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved] |
| title_full_unstemmed | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved] |
| title_short | Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort [version 2; peer review: 3 approved] |
| title_sort | ascertaining and classifying cases of congenital anomalies in the alspac birth cohort version 2 peer review 3 approved |
| url | https://wellcomeopenresearch.org/articles/5-231/v2 |
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