19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Data monitoring committees: Promoting best practices to address emerging challenges

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          <p class="first" id="P1">Data Monitoring Committees (DMCs) are responsible for safeguarding the interests of study participants and assuring the integrity and credibility of clinical trials. The independence of DMCs from sponsors and investigators is essential to achieving this mission. Creative approaches are needed to address ongoing and emerging challenges that potentially threaten DMCs’ independence and effectiveness. An expert panel of representatives from academia, industry and government sponsors, and regulatory agencies discussed these challenges and proposed best practices and operating principles for effective functioning of contemporary DMCs. </p><p id="P2">Prospective DMC members need better training. Options could include didactic instruction as well as apprenticeships to provide real-world experience. DMC members should be protected against legal liability arising from their service. While avoiding breaches in confidentiality of interim data remains a high priority, DMCs should have access to unblinded efficacy and safety data throughout the trial to enable informed judgments about risks and benefits. Because overly rigid procedures can compromise their independence, DMCs should have the flexibility necessary to best fulfill their responsibilities. DMC charters should articulate principles that guide the DMC process rather than list a rigid set of requirements. DMCs should develop their recommendations by consensus rather than through voting processes. The format for DMC meetings should maintain the independence of the DMC and clearly establish the leadership of the DMC chair. The independent statistical group at the Statistical Data Analysis Center should have sufficient depth of knowledge about the study at hand and experience with trials in general to ensure that the DMC has access to timely, reliable, and readily interpretable insights about emerging evidence in the clinical trial. Contracts engaging DMC members for industry-sponsored trials should have language customized to the unique responsibilities of DMC members rather than use language appropriate to consultants for product development. Regulatory scientists would benefit from experiencing DMC service that does not conflict with their regulatory responsibilities. </p>

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: not found

          Characteristics of clinical trials registered in ClinicalTrials.gov, 2007-2010.

          Recent reports highlight gaps between guidelines-based treatment recommendations and evidence from clinical trials that supports those recommendations. Strengthened reporting requirements for studies registered with ClinicalTrials.gov enable a comprehensive evaluation of the national trials portfolio. To examine fundamental characteristics of interventional clinical trials registered in the ClinicalTrials.gov database. A data set comprising 96,346 clinical studies from ClinicalTrials.gov was downloaded on September 27, 2010, and entered into a relational database to analyze aggregate data. Interventional trials were identified and analyses were focused on 3 clinical specialties-cardiovascular, mental health, and oncology-that together encompass the largest number of disability-adjusted life-years lost in the United States. Characteristics of registered clinical trials as reported data elements in the trial registry; how those characteristics have changed over time; differences in characteristics as a function of clinical specialty; and factors associated with use of randomization, blinding, and data monitoring committees (DMCs). The number of registered interventional clinical trials increased from 28,881 (October 2004-September 2007) to 40,970 (October 2007-September 2010), and the number of missing data elements has generally declined. Most interventional trials registered between 2007 and 2010 were small, with 62% enrolling 100 or fewer participants. Many clinical trials were single-center (66%; 24,788/37,520) and funded by organizations other than industry or the National Institutes of Health (NIH) (47%; 17,592/37,520). Heterogeneity in the reported methods by clinical specialty; sponsor type; and the reported use of DMCs, randomization, and blinding was evident. For example, reported use of DMCs was less common in industry-sponsored vs NIH-sponsored trials (adjusted odds ratio [OR], 0.11; 95% CI, 0.09-0.14), earlier-phase vs phase 3 trials (adjusted OR, 0.83; 95% CI, 0.76-0.91), and mental health trials vs those in the other 2 specialties. In similar comparisons, randomization and blinding were less frequently reported in earlier-phase, oncology, and device trials. Clinical trials registered in ClinicalTrials.gov are dominated by small trials and contain significant heterogeneity in methodological approaches, including reported use of randomization, blinding, and DMCs.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Effect of Naltrexone-Bupropion on Major Adverse Cardiovascular Events in Overweight and Obese Patients With Cardiovascular Risk Factors: A Randomized Clinical Trial.

            Few cardiovascular outcomes trials have been conducted for obesity treatments. Withdrawal of 2 marketed drugs has resulted in controversy about the cardiovascular safety of obesity agents.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The landscape of clinical trials in nephrology: a systematic review of Clinicaltrials.gov.

              Well-designed trials are of paramount importance in improving the delivery of care to patients with kidney disease. However, it remains unknown whether contemporary clinical trials within nephrology are of sufficient quality and quantity to meet this need. Systematic review. Studies registered with ClinicalTrials.gov. Interventional (ie, nonobservational) studies (both randomized and nonrandomized) registered between October 2007 and September 2010 were included for analysis. Studies were reviewed independently by physicians and classified by clinical specialty. Nephrology versus cardiology versus other trials. Select clinical trial characteristics. Of 40,970 trials overall, 1,054 (2.6%) were classified as nephrology. Most nephrology trials were for treatment (75.4%) or prevention (15.7%), with very few diagnostic, screening, or health services research studies. Most nephrology trials were randomized (72.3%). Study designs included 24.9% with a single study group, 64.0% that included parallel groups, and 9.4% that were crossover trials. Nephrology trials, compared with 2,264 cardiology trials (5.5% overall), were more likely to be smaller (64.5% vs 48.0% enrolling≤100 patients), phases 1-2 (29.0% vs 19.7%), and unblinded (66.2% vs 53.3%; P<0.05 for all). Nephrology trials also were more likely than cardiology trials to include a drug intervention (72.4% vs 41.9%) and less likely to report having a data monitoring committee (40.3% vs 48.5%; P<0.05 for all). Finally, there were few trials funded by the National Institutes of Health (NIH; 3.3%, nephrology; 4.2%, cardiology). Does not include all trials performed worldwide, and frequent categorization of funding source as university may underestimate NIH support. Critical differences remain between clinical trials in nephrology and other specialties. Improving care for patients with kidney disease will require a concerted effort to increase the scope, quality, and quantity of clinical trials within nephrology. Copyright © 2014 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
                Bookmark

                Author and article information

                Journal
                Clinical Trials: Journal of the Society for Clinical Trials
                Clinical Trials
                SAGE Publications
                1740-7745
                1740-7753
                February 2017
                April 2017
                February 2017
                April 2017
                : 14
                : 2
                : 115-123
                Affiliations
                [1 ]Department of Biostatistics, University of Washington, Seattle, WA, USA
                [2 ]University of Wisconsin–Madison, Madison, WI, USA
                [3 ]Duke Clinical Research Institute (DCRI), Duke University Medical Center, Durham, NC, USA
                [4 ]Statistics Collaborative, Inc., Washington, DC, USA
                [5 ]Center for Drug Evaluation and Research (CDER), FDA, Silver Spring, MD, USA
                [6 ]National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD, USA
                [7 ]University of Pittsburgh, Pittsburgh, PA, USA
                [8 ]Merck Research Laboratories, North Wales, PA, USA
                [9 ]Tufts Medical Center, Boston, MA, USA
                [10 ]National Heart, Lung and Blood Institute (NHLBI), NIH, Bethesda, MD, USA
                [11 ]Stanford University School of Medicine, Stanford University, Stanford, CA, USA
                [12 ]Florida Atlantic University, Boca Raton, FL, USA
                [13 ]University of Minnesota, Minneapolis, MN, USA
                [14 ]AstraZeneca, Mölndal, Sweden
                [15 ]Brigham and Women’s Hospital, Boston, MA, USA
                [16 ]University of Pennsylvania, Philadelphia, PA, USA
                Article
                10.1177/1740774516688915
                5380168
                28359194
                699d8c2c-f470-4fa3-879c-7e5406ba8118
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

                History

                Comments

                Comment on this article