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Consort 2010 and Controversies Regarding Assessment of Blindness in Rcts Publisher



Kolahi J1 ; Bang H2 ; Park JJ3 ; Desbiens NA4
Authors
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Authors Affiliations
  1. 1. Torabinejad Research Center, Isfahan University of Medical Sciences, Shahin Shahr, Isfahan, Co 83188-65161, No 10, Sayt 180, Iran
  2. 2. Department of Public Health, Weill Medical College, Cornell University, NY, United States
  3. 3. Asian Medicine and Acupuncture Research, Department of Physical Medicine and Rehabilitation, University of North Carolina, NC, United States
  4. 4. University of the South in Sewanee, TN, United States

Source: Dental Hypotheses Published:2010


Abstract

Blinding is one of the key design features of randomized clinical trials (RCTs). Studies not involving blinding could yield biased estimates of the effect of treatment. A meta-analysis found that doubleblind RCTs found 14% lower treatment effect on average than similar RCTs not described as double-blind. During past years many researchers have emphasized the need for more research in the area of blinding. For example, sub-item 11b of the 2007 CONSORT statement suggested the need for an assessment of blinding. We have been waiting for a revision and extension of this item, which would encourage people to collect and report more data and share lessons learned. Yet, disappointingly, it was eliminated from CONSORT 2010. As stated by the CONSORT authors, the rationale for this elimination was interpretational and measurement difficulties. Since the claim of internal validity for RCTs with a control arm rests on the assumption of appropriate blinding, we cannot afford to lose the CONSORT's incentive for improvement and change. It seems contrary to an evidence- based approach to avoid obtaining data because we have to struggle with interpretation and measurement, which is a common and natural problem in various scientific fields. The philosophy of let us give up because it is difficult to do or interpret may not be well justified in professional scientific communities, especially when some reasonable statistical methods and clinical guidelines are available or can be developed. © 2010 Kolahi J, et al.