Is bigger better for depression trials?
A key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward t...
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Published in | Journal of psychiatric research Vol. 42; no. 8; pp. 622 - 630 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Oxford
Elsevier Ltd
01.07.2008
Elsevier |
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Abstract | A key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward the end of enrollment may derive from a more heterogeneous population and negatively impact the power of a study. Post hoc analyses were performed on clinical data from four phase III depression trials with paroxetine to evaluate this possibility.
Each study used a randomized, double-blind, placebo-controlled design and enrolled approximately 150 patients per treatment arm. Plots of observed
p-values for the treatment difference between paroxetine and placebo (on the HAM-D
17 change from baseline score at week 8) by cumulative enrollment were made for each study.
As previously reported, three of the four studies showed an overall significant treatment effect and one did not. In each study, a significant treatment effect was observed before approximately 100 patients had been enrolled per treatment arm. Continuing to enroll additional patients did not maintain the achieved level of significance in most instances, and in one case appeared to alter a potentially positive study into a failed study. Plots of
p-values versus cumulative enrollment by patient quarters using combined data from all four studies suggested that late-enrolling patients were more likely to be placebo responders than early-enrolling patients. Hypothesized explanations for this finding include a depleted pool of depressed patients and the rush for patient recruitment at the end of a study in order to meet completion timelines. However, no corroborative evidence could be found to support either possibility.
This analysis demonstrates that bigger is not necessarily better for depression trials. |
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AbstractList | A key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward the end of enrollment may derive from a more heterogeneous population and negatively impact the power of a study. Post hoc analyses were performed on clinical data from four phase III depression trials with paroxetine to evaluate this possibility.OBJECTIVEA key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward the end of enrollment may derive from a more heterogeneous population and negatively impact the power of a study. Post hoc analyses were performed on clinical data from four phase III depression trials with paroxetine to evaluate this possibility.Each study used a randomized, double-blind, placebo-controlled design and enrolled approximately 150 patients per treatment arm. Plots of observed p-values for the treatment difference between paroxetine and placebo (on the HAM-D17 change from baseline score at week 8) by cumulative enrollment were made for each study.METHODSEach study used a randomized, double-blind, placebo-controlled design and enrolled approximately 150 patients per treatment arm. Plots of observed p-values for the treatment difference between paroxetine and placebo (on the HAM-D17 change from baseline score at week 8) by cumulative enrollment were made for each study.As previously reported, three of the four studies showed an overall significant treatment effect and one did not. In each study, a significant treatment effect was observed before approximately 100 patients had been enrolled per treatment arm. Continuing to enroll additional patients did not maintain the achieved level of significance in most instances, and in one case appeared to alter a potentially positive study into a failed study. Plots of p-values versus cumulative enrollment by patient quarters using combined data from all four studies suggested that late-enrolling patients were more likely to be placebo responders than early-enrolling patients. Hypothesized explanations for this finding include a depleted pool of depressed patients and the rush for patient recruitment at the end of a study in order to meet completion timelines. However, no corroborative evidence could be found to support either possibility.RESULTSAs previously reported, three of the four studies showed an overall significant treatment effect and one did not. In each study, a significant treatment effect was observed before approximately 100 patients had been enrolled per treatment arm. Continuing to enroll additional patients did not maintain the achieved level of significance in most instances, and in one case appeared to alter a potentially positive study into a failed study. Plots of p-values versus cumulative enrollment by patient quarters using combined data from all four studies suggested that late-enrolling patients were more likely to be placebo responders than early-enrolling patients. Hypothesized explanations for this finding include a depleted pool of depressed patients and the rush for patient recruitment at the end of a study in order to meet completion timelines. However, no corroborative evidence could be found to support either possibility.This analysis demonstrates that bigger is not necessarily better for depression trials.CONCLUSIONSThis analysis demonstrates that bigger is not necessarily better for depression trials. A key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward the end of enrollment may derive from a more heterogeneous population and negatively impact the power of a study. Post hoc analyses were performed on clinical data from four phase III depression trials with paroxetine to evaluate this possibility. Each study used a randomized, double-blind, placebo-controlled design and enrolled approximately 150 patients per treatment arm. Plots of observed p-values for the treatment difference between paroxetine and placebo (on the HAM-D17 change from baseline score at week 8) by cumulative enrollment were made for each study. As previously reported, three of the four studies showed an overall significant treatment effect and one did not. In each study, a significant treatment effect was observed before approximately 100 patients had been enrolled per treatment arm. Continuing to enroll additional patients did not maintain the achieved level of significance in most instances, and in one case appeared to alter a potentially positive study into a failed study. Plots of p-values versus cumulative enrollment by patient quarters using combined data from all four studies suggested that late-enrolling patients were more likely to be placebo responders than early-enrolling patients. Hypothesized explanations for this finding include a depleted pool of depressed patients and the rush for patient recruitment at the end of a study in order to meet completion timelines. However, no corroborative evidence could be found to support either possibility. This analysis demonstrates that bigger is not necessarily better for depression trials. A key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward the end of enrollment may derive from a more heterogeneous population and negatively impact the power of a study. Post hoc analyses were performed on clinical data from four phase III depression trials with paroxetine to evaluate this possibility. Each study used a randomized, double-blind, placebo-controlled design and enrolled approximately 150 patients per treatment arm. Plots of observed p-values for the treatment difference between paroxetine and placebo (on the HAM-D 17 change from baseline score at week 8) by cumulative enrollment were made for each study. As previously reported, three of the four studies showed an overall significant treatment effect and one did not. In each study, a significant treatment effect was observed before approximately 100 patients had been enrolled per treatment arm. Continuing to enroll additional patients did not maintain the achieved level of significance in most instances, and in one case appeared to alter a potentially positive study into a failed study. Plots of p-values versus cumulative enrollment by patient quarters using combined data from all four studies suggested that late-enrolling patients were more likely to be placebo responders than early-enrolling patients. Hypothesized explanations for this finding include a depleted pool of depressed patients and the rush for patient recruitment at the end of a study in order to meet completion timelines. However, no corroborative evidence could be found to support either possibility. This analysis demonstrates that bigger is not necessarily better for depression trials. Abstract Objective A key assumption underlying the principle that power increases with sample size is that the standardized effect size is fixed over time. In therapeutic areas where it may be difficult to continually recruit from a homogeneous population, this assumption may not be valid; patients randomized toward the end of enrollment may derive from a more heterogeneous population and negatively impact the power of a study. Post hoc analyses were performed on clinical data from four phase III depression trials with paroxetine to evaluate this possibility. Methods Each study used a randomized, double-blind, placebo-controlled design and enrolled approximately 150 patients per treatment arm. Plots of observed p -values for the treatment difference between paroxetine and placebo (on the HAM-D17 change from baseline score at week 8) by cumulative enrollment were made for each study. Results As previously reported, three of the four studies showed an overall significant treatment effect and one did not. In each study, a significant treatment effect was observed before approximately 100 patients had been enrolled per treatment arm. Continuing to enroll additional patients did not maintain the achieved level of significance in most instances, and in one case appeared to alter a potentially positive study into a failed study. Plots of p -values versus cumulative enrollment by patient quarters using combined data from all four studies suggested that late-enrolling patients were more likely to be placebo responders than early-enrolling patients. Hypothesized explanations for this finding include a depleted pool of depressed patients and the rush for patient recruitment at the end of a study in order to meet completion timelines. However, no corroborative evidence could be found to support either possibility. Conclusions This analysis demonstrates that bigger is not necessarily better for depression trials. |
Author | Snavely, Duane B. Liu, Kenneth S. Reines, Scott A. Lines, Christopher R. Ball, William A. Potter, William Z. |
Author_xml | – sequence: 1 givenname: Kenneth S. surname: Liu fullname: Liu, Kenneth S. – sequence: 2 givenname: Duane B. surname: Snavely fullname: Snavely, Duane B. – sequence: 3 givenname: William A. surname: Ball fullname: Ball, William A. – sequence: 4 givenname: Christopher R. surname: Lines fullname: Lines, Christopher R. email: chris_lines@merck.com – sequence: 5 givenname: Scott A. surname: Reines fullname: Reines, Scott A. – sequence: 6 givenname: William Z. surname: Potter fullname: Potter, William Z. |
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Keywords | Paroxetine Depression Clinical trial Sample size Placebo Treatment effect Mood disorder Human Evaluation Protocols Serotonin Methodology Psychotropic Multicenter study Pharmacotherapy Controlled therapeutic trial Reuptake inhibitor Selective serotonin reuptake inhibitor Treatment Piperidine derivatives Neurotransmitter Antidepressant agent Comparative study |
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SubjectTerms | Adult Biological and medical sciences Clinical trial Clinical Trials, Phase III as Topic - statistics & numerical data Depression Depressive Disorder - drug therapy Double-Blind Method Female Humans Male Medical sciences Methodology. Experimentation Neuropharmacology Paroxetine Paroxetine - therapeutic use Patient Selection Pharmacology. Drug treatments Placebo Placebos Psychiatry Psychoanaleptics: cns stimulant, antidepressant agent, nootropic agent, mood stabilizer Psychoanaleptics: cns stimulant, antidepressant agent, nootropic agent, mood stabilizer..., (alzheimer disease) Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Psychopharmacology Randomized Controlled Trials as Topic - methods Randomized Controlled Trials as Topic - statistics & numerical data Sample Size Serotonin Uptake Inhibitors - therapeutic use Techniques and methods Time Factors Treatment effect Treatment Outcome |
Title | Is bigger better for depression trials? |
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