Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials.

Title : Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials

Source : PubMed
ID : 27598694
Authors : Sen A, Ryan PB, Goldstein A, Chakrabarti S, Wang S, Koski E, Weng C
Year : 2016
Disease Category : Not Specified
Focused Population : Not Specified
Priori/Posteriori : Priori
Single-study Generalibility? : Single/Multiple
Score/Non-Score : Score
Tutorial/Method : NHANES_T2D
Compared general demographic and patient characteristics : Yes
Compared disease-specific clinical characteristics : Yes
Compared adverse events : No
Compared outcomes/treatment effect (including survival) : No
Eligible patients vs. general population : Yes
Real-world data sources : MIMIC II
Target Population Data Type Levels : Hospital

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Title : Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials