| Literature DB >> 29854151 |
Zhe He1, Arturo Gonzalez-Izquierdo2, Spiros Denaxas2, Andrei Sura3, Yi Guo3, William R Hogan3, Elizabeth Shenkman3, Jiang Bian3.
Abstract
Clinical trials are indispensable tools for evidence-based medicine. However, they are often criticized for poor generalizability. Traditional trial generalizability assessment can only be done after the trial results are published, which compares the enrolled patients with a convenience sample of real-world patients. However, the proliferation of electronic data in clinical trial registries and clinical data warehouses offer a great opportunity to assess the generalizability during the design phase of a new trial. In this work, we compared and contrasted a priori (based on eligibility criteria) and a posteriori (based on enrolled patients) generalizability of Type 2 diabetes clinical trials. Further, we showed that comparing the study population selected by the clinical trial eligibility criteria to the real-world patient population is a good indicator of the generalizability of trials. Our findings demonstrate that the a priori generalizability of a trial is comparable to its a posteriori generalizability in identifying restrictive quantitative eligibility criteria.Entities:
Mesh:
Year: 2018 PMID: 29854151 PMCID: PMC5977671
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076