Precision and negative predictive value of links between ClinicalTrials.gov and PubMed.
Ontology highlight
ABSTRACT: One of the goals of translational science is to shorten the time from discovery to clinical use. Clinical trial registries were established to increase transparency in completed and ongoing clinical trials, and they support linking trials with resulting publications. We set out to investigate precision and negative predictive value (NPV) of links between ClinicalTrials.gov (CT.gov) and PubMed. CT.gov has been established to increase transparency in clinical trials and the link to PubMed is crucial for supporting a number of important functions, including ascertaining publication bias. We drew a random sample of trials downloaded from CT.gov and performed manual review of retrieved publications. We characterize two types of links between trials and publications (NCT-link originating from ME
SUBMITTER: Huser V
PROVIDER: S-EPMC3540528 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
ACCESS DATA