1. Integrating multiple data sources (MUDS) for meta-analysis to improve patient-centered outcomes research: a protocol for a systematic review
- Author
-
Sonal Singh, Catalina Suarez-Cuervo, Elizabeth Tolbert, Claire Twose, Diana Lock, Peter Doshi, Gillian Gresham, Tianjing Li, James Heyward, Theresa Cowley, Swaroop Vedula, Jeffrey T. Ehmsen, Jennifer L. Payne, Susan Hutfless, Lori Rosman, Evan Mayo-Wilson, Nicole Fusco, Elizabeth A. Stuart, Hwanhee Hong, Kay Dickersin, and Jennifer A. Haythornthwaite
- Subjects
Protocol (science) ,medicine.medical_specialty ,business.industry ,Patient-centered outcomes ,Medicine (miscellaneous) ,Publication bias ,Clinical trial ,Systematic review ,Reporting bias ,Meta-analysis ,medicine ,Medical physics ,Psychiatry ,business ,Meta-Analysis as Topic - Abstract
Background Systematic reviews should provide trustworthy guidance to decision-makers, but their credibility is challenged by the selective reporting of trial results and outcomes. Some trials are not published, and even among clinical trials that are published partially (e.g., as conference abstracts), many are never published in full. Although there are many potential sources of published and unpublished data for systematic reviews, there are no established methods for choosing among multiple reports or data sources about the same trial.
- Published
- 2015
- Full Text
- View/download PDF