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Clinical trials
Arnold
Clinical trials

Arnold

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Clinical trials/Journal Clinical trialsISTPSCI
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    Evolving challenges in clinical trials design

    Colin B Begg
    2页
      原文链接:
    • NSTL
    • Sage

    Recruiting an underserved, difficult to reach population into a cancer trial: Strategies from the Restore- 2 Rehabilitation Trial for gay and bisexual prostate cancer patients

    BR Simon RosserMorgan WrightChris J HoeferElizabeth J Polter...
    12页
    查看更多>>摘要：Background/aims: Sexual minorities are small and under-researched populations that are at disproportionate risk for cancer and poor cancer outcomes. Described as a “hidden population,” the principal research challenge has been to develop effective methods to identify and recruit such cancer patients into cancer studies. Online recruitment strategies, as well as targeted clinic recruitment using patient-entered sexual orientation and gender identity data from electronic medical records have potential to transform recruitment, but studies testing the effects of how to recruit using these have not been published. Methods: In 2019, we conducted a naturalistic, three-arm, stratified prospective study to compare three recruitment strategies: (a) clinic based recruitment of prostate cancer patients from gay health and urology clinics; (b) directly from the gay community; and (c) online recruitment (through cancer support, sex/dating, and social sites). For each strategy, we estimated time, workload, and direct costs involved. To study how recruitment strategy may affect sampling, we tested for retention rates, demographic and outcome differences across sites. Using these methods, we successfully recruited 401 gay and bisexual prostate cancer patients into a randomized, controlled, 24-month trial testing an online sexual and urinary rehabilitation curriculum tailored for this population. Results: There were seven key results. First, it is possible to recruit substantial numbers of sexual minority men into prostate cancer studies provided online recruitment methods are used. Second, we observed big differences in dropout during study onboarding by recruitment source. Third, within online recruitment, the online sex/dating application (app) was the most successful and efficient, followed by the cancer support site, and then the social networking site. Fourth, while clinics were the cheapest source of recruitment, they were time intensive and low in yield. Fifth, the cancer support site and sex/dating app recruits differed by several characteristics, with the former being more rehabilitation-focused while the latter were younger and more sexually active. Sixth, we found almost no differences in outcomes across the three online recruitment sites. Seventh, because retention in online studies has been a concern, we confirm very low attrition at 3- and 6 months into the trial. Conclusion: For sexual minority cancer research, more research on how to use sexual orientation and gender identity electronic medical record data for clinic-based recruitment is needed. For other small or hard-to-reach populations, researchers should compare and publish online versus offline recruitment strategies.
      原文链接:
    • NSTL
    • Sage

    A dynamic and collaborative approach to trial recruitment in safetxt, a UK sexual health randomised controlled trial

    Lauren JeromeKimberley PotterOna McCarthyMelissa Palmer...
    8页
    查看更多>>摘要：Background/Aims: Recruiting to target in randomised controlled trials is crucial for providing reliable results, yet many trials struggle to achieve their target sample size. Many trials do not report sufficient, if any, details of their recruitment strategy for others to adapt for their own trials. Furthermore, much of the available evidence describes strategies to improve recruitment aimed at participants, as opposed to strategies aimed at engaging and motivating recruiting staff who are deemed essential for recruitment success. The safetxt trial aimed to recruit 6250 participants, aged 16–24 years, who had either tested positive, or received treatment, for chlamydia/gonorrhoea/non-specific urethritis in the last 2 weeks, from across the United Kingdom into a randomised controlled trial investigating a text message intervention to improve sexual health outcomes. In this article, we describe in detail the recruitment strategies we employed that were primarily aimed at recruiters. Methods: Recruitment began in April 2016. We built on our recruitment methods established in the pilot trial and developed several strategies to increase recruitment as the trial progressed including optimising site set-up, monitoring recruitment progress and identifying issues, facilitating shared learning, tailored recruitment materials, sustaining motivation, and communication. We describe these strategies in detail and provide practical examples for each. Results: We combine our strategies for increasing recruitment into one cyclical approach whereby progress is continuously monitored, and interventions to improve recruitment are implemented. The site initiation visits were used to develop a clear recruitment plan and establish good relationships with local site staff. Screening logs were particularly helpful for monitoring recruitment challenges. We facilitated shared learning by organising meetings with recruiting sites and conducting site visits. Tailored recruitment materials helped to promote the trial in clinic environments, and rewards and goals helped sustain motivation among recruiting staff. Finally, at the centre of the approach is good communication which ensured we maintained good relationships with local site staff. Conclusion: We conducted a large, multi-centre trial and successfully recruited to target. Our dynamic collaborative approach to recruitment described in this paper builds upon previous research by combining suggested good practice into one cyclical approach to recruitment, and providing detailed examples of each strategy. It is not possible to attribute a causal link between our approach and recruitment success overall, or with specific sites or recruiting staff. Nonetheless we describe the processes we used to build a good relationship with recruiting staff and sites, and maintain recruitment of large numbers of participants over the 32 months of the trial. Other researchers can use our approach and adapt our examples for their own trials.
      原文链接:
    • NSTL
    • Sage

    Methodological aspects of a randomized within-patient concurrent controlled design for clinical trials in spine surgery

    A Mechteld LehrWilco CH JacobsRebecca K StellatoRené M Castelein...
    8页
    查看更多>>摘要：Introduction: Randomized controlled trials are considered the highest level of evidence, but their feasibility in the surgical field is severely hampered by methodological and practical issues. Concurrent comparison between the experimental and control conditions within the same patient can be an effective strategy to mitigate some of these challenges and improve generalizability, mainly by the elimination of between-patient variability and reduction of the required sample size. This article aims (1) to describe the methodological aspects of a randomized within-patient controlled trial and (2) to quantify the added value of this design, based on a recently completed randomized within-patient controlled trial on bone grafts in instrumented lumbar posterolateral spinal fusion. Methods: Boundary conditions for the application of the randomized within-patient controlled trial design were identified. Between-patient variability was quantified by the intraclass correlation coefficient and concordance in the primary fusion outcome. Sample size, study duration and costs were compared with a classic randomized controlled trial design. Results: Boundary conditions include the concurrent application of the experimental and control conditions to identical but physically separated sites. Moreover, the outcome of interest should be local, uncorrelated and independently assessable. The spinal fusion outcomes within a patient were found to be more similar than between different patients (intraclass correlation coefficient 32% and concordance 64%), demonstrating a clear effect of patient-related factors. The randomized within-patient controlled trial design allowed a reduction of the sample size to one-third of a parallel-group randomized controlled trial, thereby halving the trial duration and costs. Conclusion: When suitable, the randomized within-patient controlled trial is an efficient design that provides a solution to some of the considerable challenges of a classic randomized controlled trial in (spine) surgery. This design holds specific promise for efficacy studies of non-active bone grafts in instrumented posterolateral fusion surgery.
      原文链接:
    • NSTL
    • Sage

    Timing is everything: The importance of patient-reported outcome assessment frequency when characterizing symptomatic adverse events

    Bellinda L King-KallimanisVishal BhatnagarErica G HorodniceanuTing-Yu Chen...
    7页
    查看更多>>摘要：Objective Although patient-reported symptoms and side effects are increasingly measured in cancer clinical trials, an appropriate assessment frequency has not yet been established. To determine whether differences in assessment frequency affect the apparent incidence and severity of patient-reported symptoms using two well-established patient-reported outcome measures used within the same clinical trial. Methods We examined patient-reported outcome results from AURA3 (NCT02151981), a randomized open-label study comparing Tagrisso (osimertinib) with platinum-based chemotherapy in patients with previously treated estimated glomerular filtration rate/T790M mutation-positive metastatic non-small cell lung cancer. The outcome of interest was the proportion of patients in each arm that reported worsening of nausea, vomiting, fatigue, diarrhea, constipation, and appetite loss from baseline measured using the patient-reported outcome—common terminology criteria for adverse event (weekly) or European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (every 6 weeks). Results Similar trends were observed for all six symptoms investigated. Using nausea in the chemotherapy arm as an example, 76% of patients reported any worsening from baseline based on weekly patient-reported outcome—common terminology criteria for adverse event assessments. When using an every 6-week assessment of Quality of Life Questionnaire Core 30 nausea and restricting analysis to an every 6-week assessment for patient-reported outcome—common terminology criteria for adverse event nausea, the proportion of chemotherapy arm patients reporting any worsening of nausea was 40% for both measures. Across the six patient-reported symptomatic adverse events, we observed differential proportions when comparing frequent versus sparse assessment. Conclusion This analysis demonstrates that more frequent assessment of patient-reported symptomatic adverse events will lead to improved detection, and therefore a more complete understanding of the tolerability of experimental anti-cancer therapies.
      原文链接:
    • NSTL
    • Sage

    Methodological standards for using the patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in cancer clinical trials

    Ethan BaschGita ThanarajasingamAmylou C Dueck
    3页
      原文链接:
    • NSTL
    • Sage

    The PROTEUS-Trials Consortium: Optimizing the use of patient-reported outcomes in clinical trials

    Claire SnyderNorah CrossnohereMadeleine KingBryce B Reeve...
    8页
    查看更多>>摘要：Background: The assessment of patient-reported outcomes in clinical trials has enormous potential to promote patient-centred care, but for this potential to be realized, the patient-reported outcomes must be captured effectively and communicated clearly. Over the past decade, methodologic tools have been developed to inform the design, analysis, reporting, and interpretation of patient-reported outcome data from clinical trials. We formed the PROTEUS-Trials Consortium (Patient-Reported Outcomes Tools: Engaging Users and Stakeholders) to disseminate and implement these methodologic tools. Methods: PROTEUS-Trials are engaging with patient, clinician, research, and regulatory stakeholders from 27 organizations in the United States, Canada, Australia, the United Kingdom, and Europe to develop both organization-specific and cross-cutting strategies for implementing and disseminating the methodologic tools. Guided by the Knowledge-to-Action framework, we conducted consortium-wide webinars and meetings, as well as individual calls with participating organizations, to develop a workplan, which we are currently executing. Results: Six methodologic tools serve as the foundation for PROTEUS-Trials dissemination and implementation efforts: the Standard Protocol Items: Recommendations for Interventional Trials-patient-reported outcome extension for writing protocols with patient-reported outcomes, the International Society for Quality of Life Research Minimum Standards for selecting a patient-reported outcome measure, Setting International Standards in Analysing Patient-Reported Outcomes and Quality of Life Endpoints Data Consortium recommendations for patient-reported outcome data analysis, the Consolidated Standards for Reporting of Trials-patient-reported outcome extension for reporting clinical trials with patient-reported outcomes, recommendations for the graphic display of patient-reported outcome data, and a Clinician’s Checklist for reading and using an article about patient-reported outcomes. The PROTEUS-Trials website ( www.TheProteusConsortium.org ) serves as a central repository for the methodologic tools and associated resources. To date, we have developed (1) a roadmap to visually display where each of the six methodologic tools applies along the clinical trial trajectory, (2) web tutorials that provide guidance on the methodologic tools at different levels of detail, (3) checklists to provide brief summaries of each tool’s recommendations, (4) a handbook to provide a self-guided approach to learning about the tools and recommendations, and (5) publications that address key topics related to patient-reported outcomes in clinical trials. We are also conducting organization-specific activities, including meetings, presentations, workshops, and webinars to publicize the existence of the methodologic tools and the PROTEUS-Trials resources. Work to develop communications strategies to ensure that PROTEUS-Trials reach key audiences with relevant information about patient-reported outcomes in clinical trials and PROTEUS-Trials is ongoing. Discussion: The PROTEUS-Trials Consortium aims to help researchers generate patient-reported outcome data from clinical trials to (1) enable investigators, regulators, and policy-makers to take the patient perspective into account when conducting research and making decisions; (2) help patients understand treatment options and make treatment decisions; and (3) inform clinicians’ discussions with patients regarding treatment options. In these ways, the PROTEUS Consortium promotes patient-centred research and care.
      原文链接:
    • NSTL
    • Sage

    Incorporating estimands into clinical trial statistical analysis plans

    Minhee KangHeather RibaudoCamlin TierneyLu Zheng...
    7页
    查看更多>>摘要：Background: International Council for Harmonisation (ICH) E9 Statistical Principles for Clinical Trials was developed as a consensus guidance document to encourage worldwide harmonization of the principles of statistical methodology in clinical trials. Addendum E9 (R1) clarified and extended ICH E9 with a focus on estimands and sensitivity analyses. Since the release of E9 (R1), clinical trial protocols have included estimands, but there is variation in how they are presented. Statistical analysis plans (SAPs) are increasingly becoming publicly available (e.g. posting on ClinicalTrials.gov) and present an opportunity to link estimands with planned analyses to present the alignment of trial objectives, design, conduct, and analysis. Methods: A table format was used to create a template for inclusion in SAPs that satisfies ICH E9 (R1) guidance to align statistical analysis to the estimand. The template provides a consistent structure for presentation of estimands and the associated analysis, and is applicable to a wide range of trial designs. We illustrate use of the template with a hypothetical clinical trial in HIV-1. Results: The estimand-to-analysis table template starts with the study objective describing the clinical question of interest as written in the trial protocol. The remainder of the table describes each attribute of the estimand (treatment, target population, variable, intercurrent events, and population-level summary) in the left column (ESTIMAND), while the right column describes how each attribute will be handled using the data collected in the clinical trial (ANALYSIS). The template was applied to a hypothetical, early-phase single-arm trial, modeled after a pediatric trial in HIV, where the objective was to determine the safety of a new antiretroviral drug as part of a combination antiretroviral treatment regimen in the pediatric population. Three intercurrent events were illustrated in the table: death, premature treatment discontinuation before 24 weeks, and pregnancy. An estimand-to-analysis table from a grant application that addresses the primary objective of a placebo-controlled randomized trial is also presented to demonstrate an alternative usage. Conclusion: We found the template to be useful in study design, providing a snapshot of the objective, target population, potential intercurrent events, analysis plan, and considerations for missing data in one place and facilitating discussion among stakeholders. The proposed standardized presentation of estimand attributes and analysis considerations in SAPs will provide guidance to SAP authors and consistency across studies to facilitate reviews.
      原文链接:
    • NSTL
    • Sage

    Accounting for the rarity of the disease when designing clinical trials with a focus on pediatric cancers

    Audrey Mauguen
    5页
    查看更多>>摘要：Background Clinical trials are challenging in rare diseases like pediatric cancers, where the accrual is limited. In these trials, inference assumptions are the same as in common diseases, that is the sample comes from a quasi-infinite population. This leads to overestimating the variance of the mean treatment effect. The finite-population correction factor correcting this bias is often used in surveys, but not in clinical trials. With few assumptions, the use of this correction factor can improve trials efficiency, showing that the power of those trials is sometimes higher than it appears. Methods First, a simulation study assesses the standard error of the mean treatment effect and coverage of the 95% confidence interval with and without the correction. Second, the analytical power of a z-test with and without the correction is given. Finally, the impact on the sample size calculation is investigated. The impact of assuming a finite population is assessed for varying treatment effect, sample size and population size. Results The simulation results confirm the overestimation of the standard error without the correction factor. When using the correction factor, the gain in power reaches up to 10.1%, 15.3% and 12.3% to detect a difference in treatment effect of 10%, 15% and 20%, respectively. The gain is negligible for n = 30, in scenarios with high power (>95%), and for large populations. This gain in power translates into a decrease in sample size: if the conventional calculation leads to a sample size 10% of the population size, then the sample size can be divided by 1.1; if the conventional calculation leads to a sample size 20% of the population size, then the sample size can be divided by 1.2, in order to reach the planned type I error and power. Conclusion When dealing with rare diseases like pediatric cancers, the power of clinical trials might be higher than it appears if using conventional sample sizes. When correcting the variance of the mean using the population size, a gain in efficiency is observed with reasonable sample sizes and treatment differences for very small population sizes, showing that this approach can be useful for some pediatric cancer clinical trials.
      原文链接:
    • NSTL
    • Sage

    Bayesian basket trial design with false-discovery rate control

    Emily C ZaborMichael J KaneSatrajit RoychoudhuryLei Nie...
    10页
    查看更多>>摘要：Background: Recent advances in developing “tumor agnostic” oncology therapies have identified molecular targets that define patient subpopulations in a manner that supersedes conventional criteria for cancer classification. These successes have produced effective targeted therapies that are administered to patients regardless of their tumor histology. Trials have evolved as well with master protocol designs. By blending translational and clinical science, basket trials in particular are well-suited to investigate and develop targeted therapies among multiple cancer histologies. However, basket trials intrinsically involve more complex design decisions, including issues of multiple testing across baskets, and guidance for investigators is needed. Methods: The sensitivity of the multisource exchangeability model to prior specification under differing degrees of response heterogeneity is explored through simulation. Then, a multisource exchangeability model design that incorporates control of the false-discovery rate is presented and a simulation study compares the operating characteristics to a design where the family-wise error rate is controlled and to the frequentist approach of treating the baskets as independent. Simulations are based on the original design of a real-world clinical trial, the SUMMIT trial, which investigated Neratinib treatment for a variety of solid tumors. The methods studied here are specific to single-arm phase II trials with binary outcomes. Results: Values of prior probability of exchangeability in the multisource exchangeability model between 0.1 and 0.3 provide the best trade-offs between gain in precision and bias, especially when per-basket sample size is below 30. Application of these calibration results to a re-analysis of the SUMMIT trial showed that the breast basket exceeded the null response rate with posterior probability of 0.999 while having low posterior probability of exchangeability with all other baskets. Simulations based on the design of the SUMMIT trial revealed that there is meaningful improvement in power even in baskets with small sample size when the false-discovery rate is controlled as opposed to the family-wise error rate. For example, when only the breast basket was active, with a sample size of 25, the power was 0.76 when the false-discovery rate was controlled at 0.05 but only 0.56 when the family-wise error rate was controlled at 0.05, indicating that impractical sample sizes for the phase II setting would be needed to achieve acceptable power while controlling the family-wise error rate in this setting of a trial with 10 baskets. Conclusion: Selection of the prior exchangeability probability based on calibration and incorporation of false-discovery rate control result in multisource exchangeability model designs with high power to detect promising treatments in the context of phase II basket trials.
      原文链接:
    • NSTL
    • Sage