ArticleWellcome open research2020
Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort.
Article in Wellcome open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Differences in the EarlyJournal of cardiovascular development and disease · 2025Article
- Circulating 25-Hydroxyvitamin D Levels During Pregnancy and Risk of Congenital Heart Diseases: Multivariable and Mendelian Randomization Analyses Using 3 Birth Cohorts.Journal of the American Heart Association · 2025Article
- The effect of maternal BMI, smoking and alcohol on congenital heart diseases: a Mendelian randomisation study.BMC medicine · 2023Article
- Article
- The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses.Journal of cardiovascular development and disease · 2022Article
- Effect of Maternal Prepregnancy/Early-Pregnancy Body Mass Index and Pregnancy Smoking and Alcohol on Congenital Heart Diseases: A Parental Negative Control Study.Journal of the American Heart Association · 2021Article
- The effect of maternal pre-/early-pregnancy BMI and pregnancy smoking and alcohol on congenital heart diseases: a parental negative control study.medRxiv : the preprint server for health sciences · 2020Article
- Ascertaining and classifying cases of congenital anomalies in the ALSPAC birth cohort.Wellcome open research · 2020Article
- The STORK dataset: Linked midwifery and delivery records of the mothers and index children in the Avon Longitudinal Study of Parents and Children (ALSPAC).Wellcome open research · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.