ArticleISRN cardiology2012
Primary prevention of heart failure.
Article in ISRN cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review.BMJ open · 2026Pooled it
- Alcohol consumption and the risk of heart failure: the Suita Study and meta-analysis of prospective cohort studies.Environmental health and preventive medicine · 2023Pooled it
- A population-based study of 92 clinically recognized risk factors for heart failure: co-occurrence, prognosis and preventive potential.European journal of heart failure · 2022Pooled it
- Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review.Diagnostics (Basel, Switzerland) · 2024Review
- Development of a tool to predict the risk of incident heart failure in a general population: the HUNT for HF risk score.ESC heart failure · 2023Article
- Predicting hospitalisation for heart failure and death in patients with, or at risk of, heart failure before first hospitalisation: a retrospective model development and external validation study.The Lancet. Digital health · 2022Article
- Development and Validation of a Long-Term Incident Heart Failure Risk Model.Circulation research · 2022Article
- Implications of the ACC/AHA risk score for prediction of heart failure: the Rotterdam Study.BMC medicine · 2021Article
- Overview of the socio-economic consequences of heart failure.Cardiovascular diagnosis and therapy · 2021Review
- Metabolic syndrome and heart failure: mechanism and management.Medicine and pharmacy reports · 2021Review
- 10-Year Risk Equations for Incident Heart Failure in the General Population.Journal of the American College of Cardiology · 2019Article
- Life's Simple 7 and Incident Heart Failure: The Multi-Ethnic Study of Atherosclerosis.Journal of the American Heart Association · 2017Article
- The economic impact of patients with heart failure on the Lebanese healthcare system.ESC heart failure · 2015Article
- Clinical prediction of incident heart failure risk: a systematic review and meta-analysis.Open heartArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most heart failure research and quality improvement efforts are targeted at treatment and secondary prevention of patients with manifest heart failure. This is distinct from coronary disease where primary prevention has been a focus for over three decades. Given the current importance and the projected worsening of heart failure epidemiology, a more focused effort on prevention is urgently needed.
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.