SynthesisPerspectives in health information managemen2019
Development of a Catheterization and Percutaneous Coronary Intervention Registry with a Data Management Approach: A Systematic Review.
Synthesis in Perspectives in health information managemen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 10 citations in OpenAlex.
- Design and Development of a Hospital-Based Coronary Artery Disease (CAD) Registry in Iran.BioMed research international · 2023Article
- Urinary neutrophil gelatinase-associated lipocalin predicted to contrast-associated acute kidney injury after planned percutaneous coronary intervention in elderly patients.Journal of clinical laboratory analysis · 2022Article
- Effects of Guideline-based Computerized Provider Order Entry Systems on the Chemotherapy Order Process: a Systematic Review.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022Review
- Eye Injury Registries: A Review on Key Registry Processes.Iranian journal of public health · 2021Review
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary catheterization is the gold standard for diagnosis and treatment of cardiovascular conditions. The development of a catheterization and percutaneous coronary intervention (CathPCI) registry considering key steps of data management has a pivotal role in coronary catheterization because it could help improve CathPCI approaches, develop equipment and devices, and minimize complications of the CathPCI procedure. Data management comprises data gathering, data processing, and information distribution. Data gathering involves the collection of data elements, including demographics, episode of care, history and relevant risk factors, visits to the catheterization laboratory, diagnosis of cardiac catheterization, estimation of the coronary arterial anatomy, percutaneous coronary intervention procedures, lesions, devices, outcomes, and discharge. Data processing is performed with respect to the number of procedures performed in different circumstances, the outcomes of the performed procedures, improvement in the healthcare approach, development of devices and equipment, and the quality of the performed procedures. Information distribution involves the sharing of information and making information accessible to researchers and clinicians, relevant health care managers, and manufacturers of medical devices and equipment. This study reviewed relevant English-language publications regarding cardiac catheterization registries, data collection, data processing, and information distribution, regardless of the date of publication.
Indexed as
Identifiers
30766453PMC6341417W3014062840What 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.