Journal of clinical epidemiology
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Prediction models may facilitate risk-based management of health care conditions. In a large cluster-randomized trial, presenting calculated risks of postoperative nausea and vomiting (PONV) to physicians (assistive approach) increased risk-based management of PONV. This increase did not improve patient outcome-that is, PONV incidence. This prompted us to explore how prediction tools guide the decision-making process of physicians. ⋯ Combining probabilistic output of the model with their clinical experience may be difficult for physicians, especially when their decision-making process is mostly intuitive. Adding recommendations to predicted risks (directive approach) was considered an important step to facilitate the uptake of a prediction tool.
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The World Health Organization (WHO) classifies a substantial proportion of their recommendations as strong despite low or very low confidence (certainty) in estimates of effect. Such discordant recommendations are often inconsistent with Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidance. ⋯ These findings suggest that the role of the GRADE methodologist as a co-chair needs to be clarified by the WHO leadership. They further suggest the need for additional training for panelists, quality monitoring, and feedback to ensure optimal use of GRADE in guideline development at WHO.
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Many strong recommendations issued by the World Health Organization (WHO) are based on low- or very low-quality (low certainty) evidence (discordant recommendations). Many such discordant recommendations are inconsistent with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidance. We sought to understand why WHO makes discordant recommendations inconsistent with GRADE guidance. ⋯ WHO panelists make discordant recommendations inconsistent with GRADE guidance for reasons that include limitations in their understanding of GRADE. Ensuring optimal application of GRADE at WHO and elsewhere likely requires selecting panelists who have a commitment to GRADE principles, additional training of panelists, and formal processes to maximize adherence to GRADE principles.
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Observational Study
Changes to registration elements and results in a cohort of Clinicaltrials.gov trials were not reflected in published articles.
To assess effectiveness of legislative initiatives to stimulate public registration of trial results, we assessed adherence to protocol and results reporting, changes to registry, and publication data for randomized controlled trials (RCTs) after introduction of Food and Drug Administration Amendment Act (FDAAA). ⋯ Discrepancies remain relatively high between registered and published outcomes, particularly regarding registered omissions in publications and concomitant reporting, nature of statistical method used, and reporting of AEs. This seriously undermines transparency of clinical trials and needs immediate attention of all stakeholders in health research.
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Evaluate current data sharing activities of UK publicly funded Clinical Trial Units (CTUs) and identify good practices and barriers. ⋯ There is support within the publicly funded UKCRC-registered CTUs for data sharing, but many perceived barriers remain. CTUs are currently using a variety of approaches and procedures for sharing data. This survey has informed further work, including development of guidance for publicly funded CTUs, to promote good practice and facilitate data sharing.