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      Patient Expectations of Assigned Treatments Impact Strength of Randomised Control Trials

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          Abstract

          Patient engagement with treatments potentially poses problems for interpreting the results and meaning of Randomised Control Trials (RCTs). If patients are assigned to treatments that do, or do not, match their expectations, and this impacts their motivation to engage with that treatment, it will affect the distribution of outcomes. In turn, this will impact the obtained power and error rates of RCTs. Simple Monto Carlo simulations demonstrate that these patient variables affect sample variance, and sample kurtosis. These effects reduce the power of RCTs, and may lead to false negatives, even when the randomisation process works, and equally distributes those with positive and negative views about a treatment to a trial arm.

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          Most cited references25

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          GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables.

          This article is the first of a series providing guidance for use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system of rating quality of evidence and grading strength of recommendations in systematic reviews, health technology assessments (HTAs), and clinical practice guidelines addressing alternative management options. The GRADE process begins with asking an explicit question, including specification of all important outcomes. After the evidence is collected and summarized, GRADE provides explicit criteria for rating the quality of evidence that include study design, risk of bias, imprecision, inconsistency, indirectness, and magnitude of effect. Recommendations are characterized as strong or weak (alternative terms conditional or discretionary) according to the quality of the supporting evidence and the balance between desirable and undesirable consequences of the alternative management options. GRADE suggests summarizing evidence in succinct, transparent, and informative summary of findings tables that show the quality of evidence and the magnitude of relative and absolute effects for each important outcome and/or as evidence profiles that provide, in addition, detailed information about the reason for the quality of evidence rating. Subsequent articles in this series will address GRADE's approach to formulating questions, assessing quality of evidence, and developing recommendations. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Assessing the quality of reports of randomized clinical trials: is blinding necessary?

            It has been suggested that the quality of clinical trials should be assessed by blinded raters to limit the risk of introducing bias into meta-analyses and systematic reviews, and into the peer-review process. There is very little evidence in the literature to substantiate this. This study describes the development of an instrument to assess the quality of reports of randomized clinical trials (RCTs) in pain research and its use to determine the effect of rater blinding on the assessments of quality. A multidisciplinary panel of six judges produced an initial version of the instrument. Fourteen raters from three different backgrounds assessed the quality of 36 research reports in pain research, selected from three different samples. Seven were allocated randomly to perform the assessments under blind conditions. The final version of the instrument included three items. These items were scored consistently by all the raters regardless of background and could discriminate between reports from the different samples. Blind assessments produced significantly lower and more consistent scores than open assessments. The implications of this finding for systematic reviews, meta-analytic research and the peer-review process are discussed.
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              Evidence based medicine: what it is and what it isn't

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                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                17 June 2021
                2021
                : 8
                : 648403
                Affiliations
                [1] 1Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan , Milan, Italy
                [2] 2Department of Psychology, Swansea University , Swansea, United Kingdom
                [3] 3School of Psychology and Counselling, The Open University , Milton Keynes, United Kingdom
                [4] 4Women's Health, Swansea Bay University Health Board , Swansea, United Kingdom
                Author notes

                Edited by: Sandor Kerpel-Fronius, Semmelweis University, Hungary

                Reviewed by: Domenico Criscuolo, Italian Society of Pharmaceutical Medicine, Italy; Oleksandr Sverdlov, Novartis, United States

                This article was submitted to Regulatory Science, a section of the journal Frontiers in Medicine

                Article
                10.3389/fmed.2021.648403
                8247438
                34222273
                f4491d10-37cb-4b1f-bb19-9f8de2bec3b8
                Copyright © 2021 Truzoli, Reed and Osborne.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 April 2021
                : 25 May 2021
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 26, Pages: 6, Words: 4074
                Funding
                Funded by: Università degli Studi di Milano 10.13039/100012352
                Categories
                Medicine
                Perspective

                rct,clinical outcome-effectiveness,patient expectations,patient variables,false negatives,monte carlo simulations

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