Best Practice & Research Clinical Rheumatology
Volume 23, Issue 2 , Pages 291-303, April 2009

How to perform a critical analysis of a randomised controlled trial

  • Candice Estellat (Assistant Professor of Epidemiology)

      Affiliations

    • INSERM U738, Paris, France
    • Université Paris 7, UFR de Médecine, Paris, France
    • AP-HP, Hôpital Bichat, Département d'Epidémiologie, Biostatistique et Recherche Clinique, Paris, France
    • Corresponding Author InformationCorresponding author. INSERM U738, Department d'Epidémiologie, de Biostatistique et de Recherche Clinique, Groupe Hospitalier Bichat – Claude Bernard, 46 rue Henri Huchard, 75877 Paris Cedex 18, France. Tel.: +33 1 40 25 79 44; Fax: +33 1 40 25 67 73.
  • ,
  • David J. Torgerson (Professor, Director York trials unit)

      Affiliations

    • Department of Health Sciences, University of York, York, UK
  • ,
  • Philippe Ravaud (Professor of Epidemiology)

      Affiliations

    • INSERM U738, Paris, France
    • Université Paris 7, UFR de Médecine, Paris, France
    • AP-HP, Hôpital Bichat, Département d'Epidémiologie, Biostatistique et Recherche Clinique, Paris, France

Given the large amount of medical literature of varying methodological quality, care must be taken when translating the results of randomised controlled trials into clinical practice. To assist in this translation process, we provide a method that involves answering three main questions: ‘Can I trust the results?’ ‘How do I understand the results?’ and ‘To whom do the results apply?’ To answer the first question, we describe important items that help in judging the reliability of the findings. For the second question, we address the clinical and statistical significance of results by looking at the size and precision of the effect. Finally, we raise the issue of external validity and of reporting adverse effects to determine which patients may best benefit from the new intervention.

Keywords: bias, evidence-based medicine, randomisation, randomised controlled trial, sample size, selection bias

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PII: S1521-6942(09)00027-8

doi:10.1016/j.berh.2009.03.003

Best Practice & Research Clinical Rheumatology
Volume 23, Issue 2 , Pages 291-303, April 2009