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Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials
BACKGROUND: 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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793251/ https://www.ncbi.nlm.nih.gov/pubmed/35081926 http://dx.doi.org/10.1186/s12885-022-09227-7 |
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author | Grayling, Michael J. McMenamin, Martina Chandler, Robert Heer, Rakesh Wason, James M. S. |
author_facet | Grayling, Michael J. McMenamin, Martina Chandler, Robert Heer, Rakesh Wason, James M. S. |
author_sort | Grayling, Michael J. |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: 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%]). CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09227-7. |
format | Online Article Text |
id | pubmed-8793251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87932512022-02-03 Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials Grayling, Michael J. McMenamin, Martina Chandler, Robert Heer, Rakesh Wason, James M. S. BMC Cancer Research BACKGROUND: 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. METHODS: 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. RESULTS: 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%]). CONCLUSIONS: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09227-7. BioMed Central 2022-01-26 /pmc/articles/PMC8793251/ /pubmed/35081926 http://dx.doi.org/10.1186/s12885-022-09227-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Grayling, Michael J. McMenamin, Martina Chandler, Robert Heer, Rakesh Wason, James M. S. Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials |
title | Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials |
title_full | Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials |
title_fullStr | Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials |
title_full_unstemmed | Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials |
title_short | Improving power in PSA response analyses of metastatic castration-resistant prostate cancer trials |
title_sort | improving power in psa response analyses of metastatic castration-resistant prostate cancer trials |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8793251/ https://www.ncbi.nlm.nih.gov/pubmed/35081926 http://dx.doi.org/10.1186/s12885-022-09227-7 |
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