ReviewClinical epidemiology2020
Validity of Acute Cardiovascular Outcome Diagnoses Recorded in European Electronic Health Records: A Systematic Review.
Review in Clinical epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of heart failure ascertainment using routinely collected healthcare data: a systematic review and meta-analysis.Systematic reviews · 2024Pooled it
- Article
- PCSK9 Inhibitors and Risk of Aortic Stenosis in Atherosclerotic Cardiovascular Disease.JACC. Advances · 2026Article
- Article
- Development of phenotype algorithms for the detection of adverse events in electronic health record data: a multicentre study.BMJ open · 2026Article
- Cardiovascular Disease Subtypes and Alzheimer's Disease: Phenotypic and Genetic Associations in the UK Biobank and All of Us Research Program.Journal of the American Heart Association · 2026Article
- Associations of plasma level of soluble LDL receptor with cardiovascular events and mortality in a large prospective cohort study.Lipids in health and disease · 2026Article
- Older females with late-onset hypertension are at higher CKD risk than males.Clinical kidney journal · 2026Article
- Article
- Accuracy of Electronic Health Record-Based Definitions for Patients with Heart Failure.The American journal of medicine · 2025Article
- First myocardial infarction: risk factors, symptoms, and medical therapy.European heart journal · 2025Article
- Label Accuracy in Electronic Health Records and Its Impact on Machine Learning Models for Early Prediction of Gestational Diabetes: 3-Step Retrospective Validation Study.JMIR medical informatics · 2025Article
- External Validation of a Risk Prediction Model for Atherosclerotic Cardiovascular Diseases in a Large National Health-Checkup and Claim Database.Journal of the American Heart Association · 2025Article
- Article
- Agreement and utility of coded primary and secondary care data for long-term follow-up of clinical trial outcomes.BMC medical research methodology · 2025Article
- Effect modification by cardiovascular and metabolic disease onset on long-term PMScientific reports · 2025Article
- Comparative effectiveness of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers on cardiovascular outcomes in older adults with type 2 diabetes mellitus: a target trial emulation study.Cardiovascular diabetology · 2025Article
- Patient-Physician Language Concordance and Cardiovascular Outcomes Among Patients With Hypertension.JAMA network open · 2025Article
- Observational study of sudden cardiac arrest risk (OSCAR): Rationale and design of an electronic health records cohort.International journal of cardiology. Heart & vasculature · 2025Article
- Perinatal depression and risk of maternal cardiovascular disease: a Swedish nationwide study.European heart journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundElectronic health records are widely used in cardiovascular disease research. We appraised the validity of stroke, acute coronary syndrome and heart failure diagnoses in studies conducted using European electronic health records.
methodsUsing a prespecified strategy, we systematically searched seven databases from dates of inception to April 2019. Two reviewers independently completed study selection, followed by partial parallel data extraction and risk of bias assessment. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value estimates were narratively synthesized and heterogeneity between sensitivity and PPV estimates were assessed using I
resultsWe identified 81 studies, of which 20 validated heart failure diagnoses, 31 validated acute coronary syndrome diagnoses with 29 specifically recording estimates for myocardial infarction, and 41 validated stroke diagnoses. Few studies reported specificity or negative predictive value estimates. Sensitivity was ≤66% in all but one heart failure study, ≥80% for 91% of myocardial infarction studies, and ≥70% for 73% of stroke studies. PPV was ≥80% in 74% of heart failure, 88% of myocardial infarction, and 70% of stroke studies. PPV by stroke subtype was variable, at ≥80% for 80% of ischaemic stroke but only 44% of haemorrhagic stroke. There was considerable heterogeneity (I
conclusionOverall, European electronic health record stroke, acute coronary syndrome and heart failure diagnoses are accurate for use in research, although validity estimates for heart failure and individual stroke subtypes were lower. Where possible, researchers should validate data before use or carefully interpret the results of previous validation studies for their own study purposes.
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