The variability in minimal clinically important difference and patient acceptable symptomatic state values did not have an impact on treatment effect estimates. - Archive ouverte HAL Access content directly
Journal Articles Journal of Clinical Epidemiology Year : 2009

The variability in minimal clinically important difference and patient acceptable symptomatic state values did not have an impact on treatment effect estimates.

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Abstract

OBJECTIVE: The minimal clinically important difference (MCID) and the patient acceptable symptom state (PASS) are cutoffs dichotomizing continuous values into variables such as improved or not improved (MCID), or in an acceptable state or not in an acceptable state (PASS), allowing to report the success rate (proportion of patients improved or in an acceptable state) in trial arms. The objective was to investigate the influence of the choice of MCID and/or PASS values on the difference in success rate between arms. STUDY DESIGN AND SETTING: Analytic study was carried out. In two hypothetic trials (prespecified mean and standard deviation (SD) for control arm score, effect sizes [ES] of 0.25 and 0.5), we calculated the success rates in control and experimental arms for different MCID and PASS values, and derived the difference in success rates between arms. RESULTS: For a 0-100 score and MCID values from -40 to -10, the difference in success rate between arms ranges from 7.9% to 9.9% (ES=0.25) and from 15.9% to 19.7% (ES=0.50). For PASS values from 20 to 50, the difference in success rate between arms ranges from 7.1% to 9.9% (ES=0.25) and from 15.6% to 19.7% (ES=0.50). CONCLUSION: The MCID or PASS value has a low impact on the difference in the success rate between the arms in a trial.
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Origin : Files produced by the author(s)
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Dates and versions

inserm-00371894 , version 1 (30-03-2009)

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Florence Tubach, Bruno Giraudeau, Philippe Ravaud. The variability in minimal clinically important difference and patient acceptable symptomatic state values did not have an impact on treatment effect estimates.. Journal of Clinical Epidemiology, 2009, 62 (7), pp.725-8. ⟨10.1016/j.jclinepi.2008.09.012⟩. ⟨inserm-00371894⟩
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