ArticleCJC open2021
CREATE: A New Data Resource to Support Cardiac Precision Health.
Article in CJC open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- Developing a Computational Phenotype of the Fourth Universal Definition of Myocardial Infarction for Inpatients.Journal of clinical medicine · 2024Article
- Evaluating the coding accuracy of type 2 diabetes mellitus among patients with non-alcoholic fatty liver disease.BMC health services research · 2024Article
- The centre for health informatics: a novel approach to accelerating the field of health data science.International journal of population data science · 2024Article
- Exploring the reliability of inpatient EMR algorithms for diabetes identification.BMJ health & care informatics · 2023Article
- Can routinely collected administrative data effectively be used to evaluate and validate endpoints used in breast cancer clinical trials? Protocol for a scoping review of the literature.Systematic reviews · 2023Article
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Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe initiatives of precision medicine and learning health systems require databases with rich and accurately captured data on patient characteristics. We introduce the
methodsWe used deterministic data linkage to link SCM electronic medical record data to APPROACH clinical registry data using patient identifier variables. The APPROACH-SCM data set was subsequently linked to DAD and NACRS to obtain inpatient and outpatient cohort data. We further validated the quality of the linkage, where applicable, in these databases by comparing against the Alberta Health Insurance Care Plan registry database.
resultsWe achieved 99.96% linkage across these 4 databases. Currently, there are 30,984 patients with 35,753 catheterizations in the CREATE database. The inpatient cohort contained 65.75% (20,373/30,984) of the patient sample, whereas the outpatient cohort contained 29.78% (9226/30,984). The infrastructure and the process to update and expand the database has been established.
conclusionsCREATE is intended to serve as a database for supporting big data analytics activities surrounding cardiac precision health. The CREATE database will be managed by the Centre for Health Informatics at the University of Calgary, and housed in a secure high-performance computing environment.
Identifiers
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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.