{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Dodd S"],"funding":["Medical Research Council","National Institute for Health Research (NIHR)"],"pagination":["84-92"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5854263"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["96"],"pubmed_abstract":["<h4>Objectives</h4>There 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.<h4>Study design and setting</h4>A literature review was carried out to determine existing outcome classification systems, none of which were sufficiently comprehensive "],"journal":["Journal of clinical epidemiology"],"pubmed_title":["A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery."],"pmcid":["PMC5854263"],"funding_grant_id":["MC_CF023241","MR/K025635/1","NF-SI-0513-10025","G0901530"],"pubmed_authors":["Becker L","Williamson PR","Mavergames C","Dodd S","Fish R","Clarke M"],"additional_accession":[]},"is_claimable":false,"name":"A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery.","description":"<h4>Objectives</h4>There 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.<h4>Study design and setting</h4>A literature review was carried out to determine existing outcome classification systems, none of which were sufficiently comprehensive ","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Apr","modification":"2025-04-26T03:36:08.31Z","creation":"2019-03-26T23:23:06Z"},"accession":"S-EPMC5854263","cross_references":{"pubmed":["29288712"],"doi":["10.1016/j.jclinepi.2017.12.020"]}}