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Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials.
- 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]
- Subjects :
- *CASTRATION-resistant prostate cancer
*PROSTATE-specific antigen
Subjects
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