2010
DOI: 10.1002/pst.459
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The role of the minimum clinically important difference and its impact on designing a trial

Abstract: The minimum clinically important difference (MCID) between treatments is recognized as a key concept in the design and interpretation of results from a clinical trial. Yet even assuming such a difference can be derived, it is not necessarily clear how it should be used. In this paper, we consider three possible roles for the MCID. They are: (1) using the MCID to determine the required sample size so that the trial has a pre-specified statistical power to conclude a significant treatment effect when the treatme… Show more

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Cited by 43 publications
(40 citation statements)
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“…First, MCID helps to estimate the required sample size so that a study has sufficient power to detect the true differences and therefore assess treatments better. (17,18) It is encouraging that there is an increase in the number of surgical trials including sample size estimates in the manuscripts over the last 3 decades; however, a study conducted by Kashani et al revealed that only 21% of the surgical trials considered MCID in their sample size calculations. (17) For to be adequately powered and not report negative results, appropriate MCID values should be considered in the sample size estimation at the beginning of trials.…”
Section: Discussionmentioning
confidence: 99%
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“…First, MCID helps to estimate the required sample size so that a study has sufficient power to detect the true differences and therefore assess treatments better. (17,18) It is encouraging that there is an increase in the number of surgical trials including sample size estimates in the manuscripts over the last 3 decades; however, a study conducted by Kashani et al revealed that only 21% of the surgical trials considered MCID in their sample size calculations. (17) For to be adequately powered and not report negative results, appropriate MCID values should be considered in the sample size estimation at the beginning of trials.…”
Section: Discussionmentioning
confidence: 99%
“…It would be quick and simple to determine the patient satisfaction achieved and success of a treatment by comparing the scores to that of the condition of interest. (18) It also accounts for the patient’s perception of function, quality of life, and an overall feeling of wellbeing as a result of the treatment. Third, MCID can assess the responsiveness of measuring tools in this context of outcomes questionnaires in detecting a real change that has occurred.…”
Section: Discussionmentioning
confidence: 99%
“…If the aim is detecting compounds with a target level of efficacy, decision makers also need to consider their position toward compounds that have levels of efficacy between MCID and the target value. The traditional approach ensures with large probability that a compound with the MCID level of efficacy can be progressed, but the consequence of this is that compounds with lower levels of efficacy can have large probabilities of producing a statistically significant result [11] and hence lead to a decision to continue development, assuming that a significant result leads to continuation. The ESOE attempts to circumvent this by having a Pause decision for a reasonable proportion of compounds with efficacy less than the MCID.…”
Section: Discussionmentioning
confidence: 99%
“…the clinically relevant effect size. MDES has a power of 50% to be detected if it is true, therefore for any trial designed with more than 50% power for a clinically relevant effect size, the MDES will be smaller than the latter [30]. …”
Section: Reviewmentioning
confidence: 99%