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Cartas Al Director
Beware of multiplicity problems in clinical trials
Cuidado con los problemas de multiplicidad en ensayos clínicos
Á. Touma-Fernández
Hospital Universitario Morales Meseguer, Avenida Marqués de los Vélez, s/n, 30008 Murcia, Spain
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with a primary goal of &#8220;assessing the effectiveness of &#8230; and transfusion requirements in heart surgery&#8221; and a secondary one of &#8220;assessing its impact on the fluid balance &#8230; and hospital length of stay&#8221; &#8211;&#44; is an example of potential multiplicity problems arising when many outcome measures are used to assess the result of a therapy&#46; In this sense&#44; as reported in Table 2 of the paper&#44; the results of the main goal of the study were tested by using 10 single tests&#44; each one with a control rate of false positive result of 5&#37;&#46; The risk is controlled for each individual single test&#44; and that is what is meant by the significance level of the test or <span class="elsevierStyleItalic">p</span>-value&#46; However&#44; it is not so easy to control the overall risk of declaring at least one false positive somewhere if many separate significance tests are performed&#46; In the quoted results of Table 2&#44; 10 &#40;independent&#41; tests at a separate false positive rate of 5&#37; have been performed&#44; implying a 95&#37; chance of not making a mistake on the first test&#44; a 95<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>95&#37; &#40;&#61;90&#46;25&#37;&#41; of avoiding a mistake on either of the first two&#44; and so nearly a 10&#37; risk of one or other &#40;or both&#41; of the first two tests resulting in false positive&#46; After 10 independent tests at the 5&#37; level the probability of rejecting the null hypotheses in at least one test when the null is true in all the cases&#44; i&#46;e&#46; the family-wise error rate<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">1</span></a> would be 1<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>&#40;0&#46;95<span class="elsevierStyleSup">10</span>&#41;<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;4&#44; i&#46;e&#46; a 40&#37; chance of declaring a difference when none exists&#46; Claiming a treatment difference when the rate of false positive by chance is as high as 40&#37; is far from what should be expected&#46; A similar situation arises in the quoted results of Tables 3 and 4&#44; in which many independent tests have been performed&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">There is no consensus on the ideal way multiplicity issues should be approached&#44; and even if they should be corrected at all&#44;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">3</span></a> but it is clear that&#44; if author makes multiple comparisons readers should expect some cautious interpretation of results taking into account potential dangers associated with multiplicity&#44;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">4</span></a> mainly if the trial has a confirmatory aim as it was the case&#46; Many strategies are available depending on the multiplicity problem&#44; being the most important&#44; if possible&#44; concentrate on one primary endpoint&#46; Other widely known approaches are the conservatives Bonferroni and Sidak corrections&#44; control of the false discovery rates&#44; the use of an appropriate multivariate analysis and the increasingly used gate keeping procedures&#46; All these procedures are not easy to implement by non professional medical statisticians so that contact with them in an early design phase is advisable&#46;</p><p id="par0020" class="elsevierStylePara elsevierViewall">In summary&#44; multiplicity problems are virtually present in all trials and should always be taken into account when designing and interpreting trials results&#46; A strict adherence to CONSORT guidelines<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">4</span></a> may help with this aim&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Conflict of interest</span><p id="par0025" class="elsevierStylePara elsevierViewall">I hereby declare I have taken into account the ethical responsibilities included in REDAR standards and meet the requirements for authorship&#46; Also I declare no conflict of interest&#46;</p></span></span>"
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