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Presented by Eugene Laska, Ph.D. at the Arthritis Advisory Committee meeting 07/30/02. The goal of a RCT is to characterize the properties of a treatment. Onset of pain relief Peak effects Duration of pain relief Dose response relationship Dosing intervals Adverse effects
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Presented by Eugene Laska, Ph.D. at the Arthritis Advisory Committee meeting 07/30/02
The goal of a RCT is to characterize the properties of a treatment • Onset of pain relief • Peak effects • Duration of pain relief • Dose response relationship • Dosing intervals • Adverse effects NB: These are all dependent on the severity of pain NB:Two measures of efficacy, pain intensity and pain relief are not necessary. They are highly correlated and add no new information
How to measure onset of analgesia • One stopwatch method: meaningful captures fact that patient obtained meaningful pain relief (responder) and the time it occurred (onset) • Two stopwatches method: perceptible,meaningful • Time to perceptible pain relief less clinically relevant and susceptible to noise • Complicates the study for no gain • Artificial data changes (adjusting the time of the first click if there is no second click) are of questionable statistically validity
How to quantify onset of analgesia • Cure model: H(t) = (1-p) + pS(t) • Population comprised of two groups- responders and non responders • Estimate the proportion p of patients who respond (i.e., obtain onset of meaningful pain relief) • Estimate the survival distribution and median time to meaningful pain relief among the responders LASKA EM, SIEGEL C, and SUNSHINE A. Commentary - onset and duration: Measurement and analysis. Clin Pharm & Ther, 49(1):1-5, January 1991.
Regulatory requirement for registration of drug D - onset • The proportion of responders on drug D must be significantly larger than the proportion of responders on placebo: pD> pP • Median onset among responders on drug D < t min NB: Choice of t may depend on pain intensity, model, and setting NB: Drug D may not have “faster” onset than placebo NB: The criterion drug D sig > placebo on PIDt is too dependent on sample size and variability
How to measure and quantify duration of analgesia • Time to offset (end of meaningful pain relief) using a stopwatch or Time to rescue medication • Estimate the survival distribution and median time to rescue (tR) among responders. Do not impute a value for those without onset • Report the proportion of responders that rescue at e.g. 6 hr, 12 hr, and 24 hr • Median time to rescue, among responders who rescue • Use standard survival methods and cure models
Regulatory requirement for claiming a dosing interval of x hr • The proportion of responders on drug D who rescue within x hr 0.5; • thus x median time to rescue • At x hr, the proportion of responders on drug D who rescue is significantly < the proportion of responders on placebo who rescue NB: Can be evaluated only in models in which the pain can be controlled with a single agent
Evaluating the DOSING REGIMENin MULTI-DAY models Old bioassay rule Hold doses fixed - study outcome Hold outcome fixed - study doses
How to demonstrate efficacy of dosing regimen in acute pain after day 1 • Mild to moderate pain models- no prn narcotic allowed • The proportion of patients who require rescue on Days 2, 3 etc. is < x% • Demonstrating superior pain relief vs. placebo should not be required because patients who remain are likely to be “placebo responders.” Imputing values for patients who dropped out on Day 1 statistically questionable
How to demonstrate efficacy of dosing regimen in acute pain after day 1 • Moderate to severe pain models - prn narcotic allowed • Contrast the amount of prn narcotic used by patients on drug D vs. placebo • The proportion of patients on drug D + narcotics that dropout for lack of pain relief after Day 1 is < x% NB: amount of narcotic use for dropouts must be handled statistically
How to demonstrate efficacy of regimen in chronic pain at week W • Patients with severe chronic pain on placebo often drop out so comparisons to placebo are not likely to be valid • Imputation methods are crude at best and do not solve problem • At least x% of the patients on drug D (possibly plus prn narcotic) must still be in the trial by week W • Conduct a withdrawal trial i.e., at week W, half of the patients on Drug D are randomly reassigned to placebo -demonstrate superiority of drug D to placebo (in efficacy or narcotic sparing) in week W+1
Key points – onset and duration • Onset • Prob (responder|D) > Prob (responder|placebo) • Median onset among responder on D < t • Duration: Dosing Interval of x hr • Prob (responders who rescue by x hr|D) < Prob (responders who rescue by x hr|placebo) • Prob (responders who rescue by x hr|D) 0.5
Key points – demonstrating efficacy • Efficacy after day 1 – acute pain - no prn narcotic • Prob (rescue|D) < y (e.g., 0.15) • Efficacy after day 1 – acute pain - with prn narcotic • Prob (dropout|D+narcotic) < y • Mean narcotic on D < mean narcotic on placebo • Efficacy at week W – chronic pain - with prn narcotic • Prob (cumulative dropout by W|D+narcotic) < y • Conduct a withdrawal trial and show mean narcotic on D < mean narcotic on placebo