A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery

A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery ObjectivesThere is increasing recognition that insufficient attention has been paid to the choice of outcomes measured in clinical trials. The lack of a standardized outcome classification system results in inconsistencies due to ambiguity and variation in how outcomes are described across different studies. Being able to classify by outcome would increase efficiency in searching sources such as clinical trial registries, patient registries, the Cochrane Database of Systematic Reviews, and the Core Outcome Measures in Effectiveness Trials (COMET) database of core outcome sets (COS), thus aiding knowledge discovery. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Clinical Epidemiology Elsevier

A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery

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Publisher
Elsevier
Copyright
Copyright © 2018 The Authors
ISSN
0895-4356
D.O.I.
10.1016/j.jclinepi.2017.12.020
Publisher site
See Article on Publisher Site

Abstract

ObjectivesThere is increasing recognition that insufficient attention has been paid to the choice of outcomes measured in clinical trials. The lack of a standardized outcome classification system results in inconsistencies due to ambiguity and variation in how outcomes are described across different studies. Being able to classify by outcome would increase efficiency in searching sources such as clinical trial registries, patient registries, the Cochrane Database of Systematic Reviews, and the Core Outcome Measures in Effectiveness Trials (COMET) database of core outcome sets (COS), thus aiding knowledge discovery.

Journal

Journal of Clinical EpidemiologyElsevier

Published: Apr 1, 2018

References

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