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      WHAT IS THE THRESHOLD FOR A CLINICALLY RELEVANT EFFECT? THE CASE OF MAJOR DEPRESSIVE DISORDERS : Theoretical Review: Threshold for a Clinically Relevant Effect

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          Abstract

          Randomized trials can show whether a treatment effect is statistically significant and can describe the size of the effect. There are, however, no validated methods available for establishing the clinical relevance of these outcomes. Recently, it was proposed that a standardized mean difference (SMD) of 0.50 be used as cutoff for clinical relevance in the treatment of depression. We explore what the effect size means and why the size of an effect has little bearing on its clinical relevance. We will also examine how the "minimally important difference," as seen from the patient perspective, may be helpful in deciding where the cutoff for clinical relevance should be placed for a given condition. Effect sizes in itself cannot give an indication of the clinical relevance of an intervention because the outcome itself determines the clinical relevance and not only the size of the effects. The "minimal important difference" (MID) could be used as a starting point for pinpointing the cutoff for clinical relevance. A first, rough attempt to implement this approach for depression resulted in a tentative clinical relevance cutoff of SMD = 0.24. Using this cutoff, psychotherapy, pharmacotherapy, and combined treatment have effect sizes above this cutoff. Statistical outcomes cannot be equated with clinical relevance. The "MID" may be used for pinpointing the cutoff for clinical relevance, but more work in this area is needed. © 2014 Wiley Periodicals, Inc.

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          Most cited references7

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          The efficacy of psychological, educational, and behavioral treatment: Confirmation from meta-analysis.

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            Shared decision making: really putting patients at the centre of healthcare

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              Size of treatment effects and their importance to clinical research and practice.

              In randomized clinical trails (RCTs), effect sizes seen in earlier studies guide both the choice of the effect size that sets the appropriate threshold of clinical significance and the rationale to believe that the true effect size is above that threshold worth pursuing in an RCT. That threshold is used to determine the necessary sample size for the proposed RCT. Once the RCT is done, the data generated are used to estimate the true effect size and its confidence interval. Clinical significance is assessed by comparing the true effect size to the threshold effect size. In subsequent meta-analysis, this effect size is combined with others, ultimately to determine whether treatment (T) is clinically significantly better than control (C). Thus, effect sizes play an important role both in designing RCTs and in interpreting their results; but specifically which effect size? We review the principles of statistical significance, power, and meta-analysis, and commonly used effect sizes. The commonly used effect sizes are limited in conveying clinical significance. We recommend three equivalent effect sizes: number needed to treat, area under the receiver operating characteristic curve comparing T and C responses, and success rate difference, chosen specifically to convey clinical significance.
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                Author and article information

                Journal
                Depression and Anxiety
                Depress Anxiety
                Wiley
                10914269
                May 2014
                May 2014
                February 22 2014
                : 31
                : 5
                : 374-378
                Affiliations
                [1 ]Department of Clinical Psychology; VU University Amsterdam; The Netherlands
                [2 ]EMGO Institute for Health and Care Research; VU University Medical Center Amsterdam; VU University Amsterdam; The Netherlands
                [3 ]Leuphana University; Lünebrug Germany
                [4 ]Behavioral Health and Neurosciences Division; Portland Veterans Affairs Medical Center; Portland Oregon
                [5 ]Departments of Psychiatry and Pharmacology; Oregon Health and Science University; Portland Oregon
                [6 ]Delta Psychiatrisch Centrum; Poortugaal The Netherlands
                [7 ]Trimbos Institute; Netherlands Institute of Mental Health and Addiction; Utrecht The Netherlands
                [8 ]Department of Epidemiology and Biostatistics; VU University Medical Center; Amsterdam The Netherlands
                Article
                10.1002/da.22249
                24677535
                b7b11a9f-cbe0-41a8-bf2e-d01ffadf6f83
                © 2014

                http://doi.wiley.com/10.1002/tdm_license_1.1

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