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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 PLoS+One
2018 ; 13
(3
): e0193088
Nephropedia Template TP
gab.com Text
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Twit Text #
English Wikipedia
Prevalence of clinical trial status discrepancies: A cross-sectional study of
10,492 trials registered on both ClinicalTrials gov and the European Union
Clinical Trials Register
#MMPMID29513684
Fleminger J
; Goldacre B
PLoS One
2018[]; 13
(3
): e0193088
PMID29513684
show ga
OBJECTIVE: Trial registries are a key source of information for clinicians and
researchers. While building OpenTrials, an open database of public trial
information, we identified errors and omissions in registries, including
discrepancies between descriptions of the same trial in different registries. We
set out to ascertain the prevalence of discrepancies in trial completion status
using a cohort of trials registered on both the European Union Clinical Trials
Register (EUCTR) and ClinicalTrials.gov. STUDY DESIGN AND SETTING: We used
matching titles and registry IDs provided by both registries to build a cohort of
dual-registered trials. Completion statuses were compared; we calculated
descriptive statistics on the prevalence of discrepancies. RESULTS: 11,988
dual-registered trials were identified. 1,496 did not provide a comparable
completion status, leaving 10,492 trials. 16.2% were discrepant on completion
status. The majority of discrepancies (90.5%) were a 'completed' trial on
ClinicalTrials.gov inaccurately marked as 'ongoing' on EUCTR. Overall, 33.9% of
dual-registered trials described as 'ongoing' on EUCTR were listed as 'completed'
on ClinicalTrials.gov. CONCLUSION: Completion status on registries is commonly
inaccurate. Previous work on publication bias may underestimate non-reporting. We
describe simple steps registry owners and trialists could take to improve
accuracy.
|*Bias
[MESH]
|Clinical Trials as Topic/*statistics & numerical data
[MESH]
|Cohort Studies
[MESH]
|Cross-Sectional Studies
[MESH]
|Databases, Factual/*statistics & numerical data
[MESH]