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2015 ; 33
(26
): 2914-9
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Rational Clinical Experiment: Assessing Prior Probability and Its Impact on the
Success of Phase II Clinical Trials
#MMPMID26261263
Halperin DM
; Lee JJ
; Dagohoy CG
; Yao JC
J Clin Oncol
2015[Sep]; 33
(26
): 2914-9
PMID26261263
show ga
PURPOSE: Despite a robust clinical trial enterprise and encouraging phase II
results, the vast minority of oncologic drugs in development receive regulatory
approval. In addition, clinicians occasionally make therapeutic decisions based
on phase II data. Therefore, clinicians, investigators, and regulatory agencies
require improved understanding of the implications of positive phase II studies.
We hypothesized that prior probability of eventual drug approval was
significantly different across GI cancers, with substantial ramifications for the
predictive value of phase II studies. METHODS: We conducted a systematic search
of phase II studies conducted between 1999 and 2004 and compared studies against
US Food and Drug Administration and National Cancer Institute databases of
approved indications for drugs tested in those studies. RESULTS: In all, 317
phase II trials were identified and followed for a median of 12.5 years.
Following completion of phase III studies, eventual new drug application approval
rates varied from 0% (zero of 45) in pancreatic adenocarcinoma to 34.8% (24 of
69) for colon adenocarcinoma. The proportion of drugs eventually approved was
correlated with the disease under study (P < .001). The median type I error for
all published trials was 0.05, and the median type II error was 0.1, with minimal
variation. By using the observed median type I error for each disease, phase II
studies have positive predictive values ranging from less than 1% to 90%,
depending on primary site of the cancer. CONCLUSION: Phase II trials in different
GI malignancies have distinct prior probabilities of drug approval, yielding
quantitatively and qualitatively different predictive values with similar
statistical designs. Incorporation of prior probability into trial design may
allow for more effective design and interpretation of phase II studies.