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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.
Afiliação
  • Grayling MJ; Population Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK. michael.grayling@newcastle.ac.uk.
  • McMenamin M; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region, China.
  • Chandler R; Northern Centre for Cancer Care, Newcastle upon Tyne, UK.
  • Heer R; Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle University, Newcastle upon Tyne, UK.
  • Wason JMS; Department of Urology, Freeman Hospital, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
BMC Cancer ; 22(1): 111, 2022 Jan 26.
Article em En | MEDLINE | ID: mdl-35081926
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento de Medicamentos / Neoplasias de Próstata Resistentes à Castração Limite: Humans / Male Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento de Medicamentos / Neoplasias de Próstata Resistentes à Castração Limite: Humans / Male Idioma: En Revista: BMC Cancer Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido