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Design and Conduct of Oncology Cinical Trials:
A Session in Memory of Daniel J. Sargent ( ) Marc Buyse IDDI, San Francisco I-BioStat, Universiteit Hasselt, Belgium SCT ICTMC Conference , Liverpool, UK May 8, 2017
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Dan’s extraordinary contributions
313 peer-reviewed publications between 1995 and 2016
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Number of peer-reviewed publications by year
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Dan’s extraordinary contributions
313 peer-reviewed publications between 1995 and 2016 covering a wide range of applied topics (collaborative group trial reports, digestive cancers, biomarkers, quality of life, prognostic factors, etc.) as well as theoretical topics (Bayesian methods, clinical trial designs, MCMC algorithms, meta-analysis, multi-state models, surrogate endpoint evaluation, etc.)
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Dan’s extraordinary contributions
313 peer-reviewed publications between 1995 and 2016 73 in J Clin Oncol 23 on surrogate endpoint evaluation 39 on trial designs
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A new clinical trial design…
Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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Classical phase II clinical trial design
Assume we use the response rate (r) to test a new treatment. The treatment will be considered: insufficiently promising if r r0 sufficiently promising if r rA Null hypothesis: H0: r r0 = 0.15 Alternative hypothesis: HA: r rA = 0.3 Significance level: = 0.05 Power : 1- = 0.8 Ref: Fleming T. Biometrics 1982; 38:143.
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Classical phase II clinical trial design
Fleming (1982) one-stage design: Using binomial distributions under H0 and HA, P( 12 responses among 48 patients H0 true) = 0.048 P( 12 responses among 48 patients HA true) = 0.819 Reject H0 12 48 patients # responses < 12 Reject HA Ref: Fleming T. Biometrics 1982; 38:143.
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Classical phase II clinical trial design
Ref: Fleming T. Biometrics 1982; 38:143.
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A new clinical trial design…
Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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A new clinical trial design…
Sargent et al. (2001) question the clinical relevance of taking opposite decisions for 11 vs. 12 responses (r = 0.23 vs. 0.25) They suggest to control four probabilities Probability of false positive = P(RH0 H0 true) , Probability of true positive = P(RH0 HA true) , Probability of false negative = P(RHA HA true), Probability of true negative = P(RHA H0 true), Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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A new clinical trial design…
Sargent et al. (2001) question the clinical relevance of taking opposite decisions for 11 vs. 12 responses (r = 0.23 vs. 0.25) They suggest to control four probabilities Probability of false positive = P(RH0 H0 true), = 0.05 Probability of true positive = P(RH0 HA true), = 0.8 Probability of false negative = P(RHA HA true), = 0.1 Probability of true negative = P(RHA H0 true), = 0.8 Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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A new clinical trial design…
Sargent et al. (2001) one-stage design: Using binomial distributions under H0 and HA, P( 12 responses among 48 patients H0 true) = 0.048 P( 12 responses among 48 patients HA true) = 0.819 P(< 10 responses among 48 patients HA true) = 0.057 P(< 10 responses among 48 patients H0 true) = 0.826 Reject H0 12 = 10 or 11 48 patients # responses Do not conclude < 10 Reject HA Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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A new clinical trial design…
Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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Classical phase II clinical trial design
Simon (1989) two-stage minimax design: Reject H0 12 48 patients # responses 3 23 patients # responses < 12 Reject HA < 3 Reject HA Ref: Simon R. Controlled Clinical Trials 1989; 10:1.
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A new clinical trial design…
Sargent et al. (2001) two-stage minimax design: Reject H0 11 44 patients # responses = 9 or 10 Do not conclude 4 26 patients # responses < 9 Reject HA < 4 Reject HA Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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A new clinical trial design…
Ref: Sargent DJ, Chan V, Goldberg RM. Controlled Clinical Trials 2001; 22:117.
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Acknowledgments Qian Shi & Lindsay Renfro (Mayo Clinic)
Mariella de Bausset (Fondation ARCAD) R code for Sargent design by
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Dan as Mentor Courtesy Fondation ARCAD
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Dan as Colleague Courtesy Fondation ARCAD
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Dan as Friend and “Bon Vivant”
Courtesy Fondation ARCAD
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