ArticleEuropean heart journal2022
CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research.
Article in European heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 35 citations in OpenAlex.
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- Real-world data landscape for glaucoma in Europe: a questionnaire-based analysis of resources among European Glaucoma Society members.BMJ open ophthalmology · 2025Article
- Observational
- Validation of machine learning-based risk stratification scores for patients with acute coronary syndrome treated with percutaneous coronary intervention.European heart journal. Digital health · 2024Article
- Framework of the strengths and challenges of clinically integrated trials: An expert panel report.American heart journal · 2024Review
- Embedding routine health care data in clinical trials: with great power comes great responsibility.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024Review
- Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome.European heart journal. Digital health · 2024Article
- Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies.Frontiers in cardiovascular medicine · 2024Article
- Five critical quality criteria for artificial intelligence-based prediction models.European heart journal · 2023Article
- Eligibility for the 4 Pharmacological Pillars in Heart Failure With Reduced Ejection Fraction at Discharge.Journal of the American Heart Association · 2023Article
- Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare.European heart journal · 2023Article
- GENERATOR HEART FAILURE DataMart: An integrated framework for heart failure research.Frontiers in cardiovascular medicine · 2023Article
- Machine learning and disease prediction in obstetrics.Current research in physiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
45 authors at 20 institutions in 12 countries.
Funding
Abstract
Big data is central to new developments in global clinical science aiming to improve the lives of patients. Technological advances have led to the routine use of structured electronic healthcare records with the potential to address key gaps in clinical evidence. The covid-19 pandemic has demonstrated the potential of big data and related analytics, but also important pitfalls. Verification, validation, and data privacy, as well as the social mandate to undertake research are key challenges. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including patient representatives, clinicians, scientists, regulators, journal editors and industry. We propose the CODE-EHR Minimum Standards Framework as a means to improve the design of studies, enhance transparency and develop a roadmap towards more robust and effective utilisation of healthcare data for research purposes.
Indexed as
Identifiers
What Socratic 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 Socratic graph.