Generalizability of EXCEL and NOBLE results to a large registry population with unprotected left main coronary artery disease.

Title : Generalizability of EXCEL and NOBLE results to a large registry population with unprotected left main coronary artery disease

Source : PubMed
ID : 28763313
Authors : Lee, Pil Hyung; Kang, Se Hun; Han, Seungbong; Ahn, Jung-Min; Bae, Jae Seok; Lee, Cheol Hyun; Kang, Soo-Jin; Lee, Seung-Whan; Kim, Young-Hak; Lee, Cheol Whan; Park, Seong-Wook; Park, Duk-Woo; Park, Seung-Jung
Year : 2017
Disease Category : Cardiovascular diseases
Focused Population : Not Specified
Priori/Posteriori : Posteriori
Single-study Generalibility? : Multiple (2)
Score/Non-Score : Non-score
Tutorial/Method : Propensity score and propensity score-based method
Compared general demographic and patient characteristics : Yes
Compared disease-specific clinical characteristics : Yes
Compared adverse events : No
Compared outcomes/treatment effect (including survival) : Yes
Trial participants vs. general population (from EHR, survey, a cohort, etc) : Yes
Use propensity score : Yes
Real-world data sources : IRIS-MAIN registry (patients who were enrolled in an unrestricted, ‘all-comers’ IRIS–MAIN (Interventional Research Incorporation Society–Left MAIN Revascularization) registry involving PCI and CABG for unprotected LMCA disease)
Target Population Data Type Levels : International