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A first step to assess harm and benefit in clinical trials in one scale
Authors:Maarten Boers  Peter Brooks  James F Fries  Lee S Simon  Vibeke Strand  Peter Tugwell
Institution:1. Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands;2. Faculty of Health Sciences, University of Queensland, Royal Brisbane and Women’s Hospital, Herston, Brisbane, Queensland 4006, Australia;3. Division of Immunology/Rheumatology, Stanford University School of Medicine, Palo Alto, CA, USA;4. SDG LLC, Cambridge, MA, USA;5. Division of Immunology/Rheumatology, Stanford University School of Medicine, Portola Valley, CA, USA;6. Institute of Population Health, University of Ottawa, Ottawa, Ontario, Canada
Abstract:ObjectiveTo develop a simple system to assess benefit and harm of treatment on a single scale. Harm and benefit signals from trials need to be placed in the proper perspective to decide on the value of a treatment. Several systems have been developed for assessment, but few attempt to incorporate both benefit and risk in the same metric while retaining enough simplicity to aid patients and clinicians in their decision making.Study Design and SettingWe designed a very simple 3 × 3 table (Outcome Measures in Rheumatology OMERACT] 3 × 3) that comprises three ranks for both beneficial and harm outcomes: for benefit, these are “none,” “substantial,” and “(near) remission”; for harm, these are “none,” “severe,” and “(near) death.” Patients are ranked both for benefit and harm and subsequently counted in a 3 × 3 table.ResultsThe system was feasible when applied to one trial dataset (patient-level information) and a meta-analysis. To become applicable as a tool, several issues need to be resolved in further development, especially the definitions and cutoffs for the ranks.ConclusionA simple 3 × 3 table to rank both benefit and harm outcomes is feasible. For rheumatology this will be further developed in the context of the OMERACT initiative.
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