ArticleJournal of the American Heart Association2018
Limited Accuracy of Administrative Data for the Identification and Classification of Adult Congenital Heart Disease.
Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 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
62 citing papers in PubMed, 106 citations in OpenAlex.
- Clinical characteristics and healthcare utilization of adults with congenital heart disease on Medicaid insurance in the United States.International journal of cardiology. Congenital heart disease · 2026Article
- Comparative Outcomes of Transcatheter Versus Surgical Pulmonary Valve Replacement in Adults With Congenital Heart Disease.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026Article
- Using administrative healthcare databases to estimate the prevalence of spina bifida across the lifespan: Challenges and opportunities.Developmental medicine and child neurology · 2026Article
- Short-term associations between ambient air pollution and emergency department visits for Parkinson disease, multiple sclerosis, migraine, and seizure in California, 2005-2018.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Sensitivity of Administrative Coding for Heart Disease in Pregnancy.Clinical epidemiology · 2026Article
- Trends in Bicuspid Aortic Valve-Attributable Death in the United States From 2010 to 2020.Journal of the American Heart Association · 2025Article
- Psychiatric and Psychological Implications of Congenital Heart Disease.Journal of clinical medicine · 2025Review
- In-hospital outcomes of catheter ablation in atrial arrhythmias: a nationwide analysis of 2,901 patients with adult congenital heart disease compared to 787,995 without.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Article
- Years of Potential Life Lost for Children and Adults With Congenital Heart Defects: United States, 2007 to 2017.Journal of the American Heart Association · 2025Article
- Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.Birth defects research · 2025Article
- Worldwide prevalence of heart failure due to congenital heart disease: An analysis from the Global Burden of Disease Study 2021.International journal of cardiology. Congenital heart disease · 2025Article
- A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes.Birth defects research · 2025Article
- Association between insurance type, clinical characteristics, and healthcare use in adults with congenital heart disease.International journal of cardiology. Congenital heart disease · 2024Article
- Reducing Rates and Risk of Stroke in Adults With Congenital Heart Disease: What Can We Do Now, and What Should We Do Next?Journal of the American Heart Association · 2024Article
- Mortality and Morbidity of Heart Failure Hospitalization in Adult Patients With Congenital Heart Disease.Journal of the American Heart Association · 2023Article
- Healthcare Use Among Black and White Congenital Heart Disease Medicaid Enrollees.Pediatric cardiology · 2023Article
- A machine learning model for predicting congenital heart defects from administrative data.Birth defects research · 2023Article
- Fontan Associated Liver Disease: Canary in the Coal Mine or Silent Killer?Journal of the American Heart Association · 2023Article
- Agreement in All-in-One Dataset between Diagnosis and Prescribed Medication for Common Cardiometabolic Diseases in the NDB-K7Ps.Epidemiologia (Basel, Switzerland) · 2023Article
- Patterns in hospital admissions for adults with congenital heart disease for non-cardiac procedures.Open heart · 2023Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdministrative data sets utilize billing codes for research and quality assessment. Previous data suggest that such codes can accurately identify adults with congenital heart disease (CHD) in the cardiology clinic, but their use has yet to be validated in a larger population. METHODS AND
resultsAll administrative codes from an entire health system were queried for a single year. Adults with a CHD diagnosis code (
conclusions
Indexed as
Identifiers
What OpenQuestion holds
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.