ArticleJournal of the American Heart Association2022
How Well Do
Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Maternal congenital heart disease and risk of child developmental vulnerability in early school age: A population-based cohort study.PLoS medicine · 2026Article
- Exploring the Impact of Missing Death Data on Identification of Congenital Malformations in Insurance Claims Data.Paediatric and perinatal epidemiology · 2026Article
- Comorbidities in Adolescents With Congenital Heart Disease: A Population-based Study.Pediatrics open science · 2025Article
- Automated phenotyping of congenital heart disease for dynamic patient aggregation and outcome reporting.JAMIA open · 2025Article
- Prevalence of congenital heart defects among children with and without diagnosed fetal alcohol spectrum disorders, 2016-2022.Drug and alcohol dependence · 2025Article
- Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.Birth defects research · 2025Article
- A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes.Birth defects research · 2025Article
- The application of population data linkage to capture sibling health outcomes among children and young adults with neurodevelopmental conditions. A scoping review.International journal of population data science · 2025Article
- Racial and Ethnic Disparities in Health Care Usage and Death by Neighborhood Poverty Among Individuals With Congenital Heart Defects, 4 US Surveillance Sites, 2011 to 2013.Journal of the American Heart Association · 2024Article
- A machine learning model for predicting congenital heart defects from administrative data.Birth defects research · 2023Article
- Positive Predictive Value ofJournal of the American Heart Association · 2023Article
- Inpatient Hospitalization Costs Associated with Birth Defects Among Persons Aged <65 Years - United States, 2019.MMWR. Morbidity and mortality weekly report · 2023Article
- Optimizing efficiency of a custom clinical decision support tool improves adult congenital heart disease care.American heart journal plus : cardiology research and practice · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background The Centers for Disease Control and Prevention's Surveillance of Congenital Heart Defects Across the Lifespan project uses large clinical and administrative databases at sites throughout the United States to understand population-based congenital heart defect (CHD) epidemiology and outcomes. These individual databases are also relied upon for accurate coding of CHD to estimate population prevalence. Methods and Results This validation project assessed a sample of 774 cases from 4 surveillance sites to determine the positive predictive value (PPV) for identifying a true CHD case and classifying CHD anatomic group accurately based on 57
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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.