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Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials.

Authors :
Grayling, Michael J.
McMenamin, Martina
Chandler, Robert
Heer, Rakesh
Wason, James M. S.
Source :
BMC Cancer. 1/26/2022, Vol. 22 Issue 1, p1-8. 8p.
Publication Year :
2022

Abstract

<bold>Background: </bold>To determine how much an augmented analysis approach could improve the efficiency of prostate-specific antigen (PSA) response analyses in clinical practice. PSA response rates are commonly used outcome measures in metastatic castration-resistant prostate cancer (mCRPC) trial reports. PSA response is evaluated by comparing continuous PSA data (e.g., change from baseline) to a threshold (e.g., 50% reduction). Consequently, information in the continuous data is discarded. Recent papers have proposed an augmented approach that retains the conventional response rate, but employs the continuous data to improve precision of estimation.<bold>Methods: </bold>A literature review identified published prostate cancer trials that included a waterfall plot of continuous PSA data. This continuous data was extracted to enable the conventional and augmented approaches to be compared.<bold>Results: </bold>Sixty-four articles, reporting results for 78 mCRPC treatment arms, were re-analysed. The median efficiency gain from using the augmented analysis, in terms of the implied increase to the sample size of the original study, was 103.2% (IQR [89.8,190.9%]).<bold>Conclusions: </bold>Augmented PSA response analysis requires no additional data to be collected and can be performed easily using available software. It improves precision of estimation to a degree that is equivalent to a substantial sample size increase. The implication of this work is that prostate cancer trials using PSA response as a primary endpoint could be delivered with fewer participants and, therefore, more rapidly with reduced cost. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712407
Volume :
22
Issue :
1
Database :
Academic Search Index
Journal :
BMC Cancer
Publication Type :
Academic Journal
Accession number :
154880167
Full Text :
https://doi.org/10.1186/s12885-022-09227-7