ReviewClinical epidemiology2017
Validation of asthma recording in electronic health records: a systematic review.
Review in Clinical epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validating exacerbations of asthma in electronic health records: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- SGLT2 Inhibitors and Asthma Exacerbation Risk Among Patients With Type 2 Diabetes and Asthma: A Target Trial Emulation.Clinical pharmacology and therapeutics · 2026Article
- PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Validation of Acute Exacerbation of Chronic Obstructive Pulmonary Disease Recording in Electronic Health Records: A Systematic Review.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2025Article
- Systematic Review and Development of Recommended Code Lists to Identify Smoking and Vaping Status in Electronic Health Records (EHR).Clinical epidemiology · 2025Review
- Validating the recording of exacerbations of asthma in electronic health records: a systematic review protocol.BMJ open · 2024Article
- Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study.JMIR research protocols · 2024Article
- Validation of adult asthma case definitions for primary care sentinel surveillance.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Article
- Increased risk of osteoarthritis in patients with atopic disease.Annals of the rheumatic diseases · 2023Article
- Primary care asthma surveillance: a review of knowledge translation tools and strategies for quality improvement.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Review
- Validation of Diagnostic Coding for Asthma in an Electronic Health Record System in Hong Kong.Journal of asthma and allergy · 2023Article
- Long term impact of prophylactic antibiotic use before incision versus after cord clamping on children born by caesarean section: longitudinal study of UK electronic health records.BMJ (Clinical research ed.) · 2022Observational
- Deriving a Standardised Recommended Respiratory Disease Codelist Repository for Future Research.Pragmatic and observational research · 2022Article
- Metformin Use and Risk of Asthma Exacerbation Among Asthma Patients with Glycemic Dysfunction.The journal of allergy and clinical immunology. In practice · 2021Article
- Using Electronic Medical Records to Identify Potentially Eligible Study Subjects for Lung Cancer Screening with Biomarkers.Cancers · 2021Article
- A strategy for validation of variables derived from large-scale electronic health record data.Journal of biomedical informatics · 2021Article
- Role of social deprivation on asthma care quality among a cohort of children in US community health centres.BMJ open · 2021Article
- Asthma Exacerbations in Patients with Type 2 Diabetes and Asthma on Glucagon-like Peptide-1 Receptor Agonists.American journal of respiratory and critical care medicine · 2021Article
- Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review.JMIR medical informatics · 2021Article
- Patterns of respiratory health services utilization from birth to 5 years of children who experienced adverse birth outcomes.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo describe the methods used to validate asthma diagnoses in electronic health records and summarize the results of the validation studies.
backgroundElectronic health records are increasingly being used for research on asthma to inform health services and health policy. Validation of the recording of asthma diagnoses in electronic health records is essential to use these databases for credible epidemiological asthma research.
methodsWe searched EMBASE and MEDLINE databases for studies that validated asthma diagnoses detected in electronic health records up to October 2016. Two reviewers independently assessed the full text against the predetermined inclusion criteria. Key data including author, year, data source, case definitions, reference standard, and validation statistics (including sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) were summarized in two tables.
resultsThirteen studies met the inclusion criteria. Most studies demonstrated a high validity using at least one case definition (PPV >80%). Ten studies used a manual validation as the reference standard; each had at least one case definition with a PPV of at least 63%, up to 100%. We also found two studies using a second independent database to validate asthma diagnoses. The PPVs of the best performing case definitions ranged from 46% to 58%. We found one study which used a questionnaire as the reference standard to validate a database case definition; the PPV of the case definition algorithm in this study was 89%.
conclusionAttaining high PPVs (>80%) is possible using each of the discussed validation methods. Identifying asthma cases in electronic health records is possible with high sensitivity, specificity or PPV, by combining multiple data sources, or by focusing on specific test measures. Studies testing a range of case definitions show wide variation in the validity of each definition, suggesting this may be important for obtaining asthma definitions with optimal validity.
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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.