ArticleBMJ open2018
An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.
Article in BMJ open, 2018. 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 22 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
22 citing papers in PubMed.
- Beta-blockers after myocardial infarction with preserved ejection fraction-reexamining established paradigms?Journal of thoracic disease · 2026Article
- Prediction of incident heart failure in men and women with a history of myocardial infarction.ESC heart failure · 2026Article
- Biological age acceleration predicts mortality and heart failure after acute myocardial infarction in older adults.Journal of geriatric cardiology : JGC · 2026Article
- Identification of clinically meaningful, overlapping obstructive respiratory disease subtypes via data-driven approaches in a primary care population.BMC pulmonary medicine · 2025Article
- Adjusting for Selection Bias Due to Missing Data in Electronic Health Records-Based Research by Blending Multiple Imputation and Inverse Probability Weighting.Statistics in medicine · 2025Article
- Health outcomes after myocardial infarction: A population study of 56 million people in England.PLoS medicine · 2024Article
- Declining risk of heart failure hospitalization following first acute myocardial infarction in Scotland between 1991-2016.European journal of heart failure · 2023Article
- Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.Scientific reports · 2023Article
- Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity.PloS one · 2023Article
- Change in the incidence of Parkinson's disease in a large UK primary care database.NPJ Parkinson's disease · 2022Article
- Prognostic Significance of Percutaneous Coronary Intervention for First Acute Myocardial Infarction with Heart Failure: Five-Year Follow-Up Results.Cardiology research and practice · 2022Article
- Transfer RNA-derived small RNAs and their potential roles in the therapeutic heterogeneity of sacubitril/valsartan in heart failure patients after acute myocardial infarction.Frontiers in cardiovascular medicine · 2022Article
- Predominant subtype of heart failure after acute myocardial infarction is heart failure with non-reduced ejection fraction.ESC heart failure · 2021Article
- Social inequalities in mild and severe myocardial infarction: how large is the gap in health expectancies?BMC public health · 2021Article
- Article
- Sex, Age, and Socioeconomic Differences in Nonfatal Stroke Incidence and Subsequent Major Adverse Outcomes.Stroke · 2021Article
- Article
- Article
- UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records.BMC medical informatics and decision making · 2019Article
Corrections and comments
- Erratum issuedCorrection:2018
Authors and funding
13 authors.
Funding
Abstract
objectivesTo investigate the incidence and determinants of heart failure (HF) following a myocardial infarction (MI) in a contemporary cohort of patients with MI using routinely collected primary and hospital care electronic health records (EHRs).
methodsData were used from the CALIBER programme, linking EHRs in England from primary care, hospital admissions, an MI registry and mortality data. Subjects were eligible if they were 18 years or older, did not have a history of HF and survived a first MI. Factors associated with time to HF were examined using Cox proportional hazard models.
resultsOf the 24 479 patients with MI, 5775 (23.6%) developed HF during a median follow-up of 3.7 years (incidence rate per 1000 person-years: 63.8, 95% CI 62.2 to 65.5). Baseline characteristics significantly associated with developing HF were: atrial fibrillation (HR 1.62, 95% CI 1.51 to 1.75), age (per 10 years increase: 1.45, 1.41 to 1.49), diabetes (1.45, 1.35 to 1.56), peripheral arterial disease (1.38, 1.26 to 1.51), chronic obstructive pulmonary disease (1.28, 1.17 to 1.40), greater socioeconomic deprivation (5th vs 1st quintile: 1.27, 1.13 to 1.41), ST-segment elevation MI at presentation (1.19, 1.11 to 1.27) and hypertension (1.16, 1.09 to 1.23). Results were robust to various sensitivity analyses such as competing risk analysis and multiple imputation.
conclusionIn England, one in four survivors of a first MI develop HF within 4 years. This contemporary study demonstrates that patients with MI are at considerable risk of HF. Baseline patient characteristics associated with time until HF were identified, which may be used to target preventive strategies.
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.