Back
Top 4%
23.3%
Top 36%
18.6%
#1
12.4%
Top 0.2%
6.7%
Top 0.8%
6.7%
Top 3%
5.3%
Top 11%
4.1%
Top 9%
2.0%
Top 8%
2.0%
Top 11%
1.6%
Top 46%
1.4%
Top 3%
1.4%
Top 6%
1.0%
Top 16%
1.0%
Top 18%
1.0%
Top 92%
1.0%
Exploring scalable assessment methods for terminated trials in ClinicalTrials.gov: A cohort analysis of German and Californian trials
2025-07-11
medical ethics
Title + abstract only
View on medRxiv
Show abstract
BackgroundClinical trials can terminate early for many reasons, including non-scientific reasons. We aimed to develop scalable semi-automated methods to characterize terminated trials and explore a methodology to estimate the risk of experiencing serious adverse events (SAEs) in trials terminated due to non-scientific reasons. MethodsTwo cohorts of clinical trials registered in ClinicalTrials.gov were investigated: (1) a cohort of clinical trials affiliated with German university medical centre...
Predicted journal destinations
1
BMJ Open
553 training papers
2
PLOS ONE
1737 training papers
3
Trials
24 training papers
4
Journal of Clinical Epidemiology
29 training papers
5
JAMA Network Open
125 training papers
6
BMC Medicine
155 training papers
7
eLife
262 training papers
8
npj Digital Medicine
85 training papers
9
Journal of Medical Internet Research
81 training papers
10
PLOS Digital Health
88 training papers
11
Nature Communications
483 training papers
12
BMC Medical Research Methodology
41 training papers
13
Journal of the American Medical Informatics Association
53 training papers
14
PLOS Medicine
95 training papers
15
Frontiers in Medicine
99 training papers
16
Scientific Reports
701 training papers