Objective To introduce the use of Central Randomization System in clinical trials. Methods We discussed the application of Central Randomization System in clinical trials from object management, drug management and user management, and made a brief description of minimization method. Results Central Randomization Systems can guarantee the nnplementation of the scheme of randomization, and can be used in clinical trials with minimization. Conclusion Central Randomization Systems are feasible in clinical trials especially in traditional Chinese medicine and open clinical trials.
The complete, transparent, and standardized reporting of the outcome of a clinical trial is a key factor in ensuring the practicality, reproducibility, and transparency of the trial, and reducing bias in selective reporting. The consolidated standards of reporting trials (CONSORT) 2010 statement provides normative guidelines for reporting clinical trials. In December 2022, JAMA released the guidelines for reporting outcomes in trial reports (CONSORT-Outcomes) 2022 extension, aiming to explain the entries related to trial outcomes, sample size, statistical methods, and auxiliary analysis in the CONSORT 2010 statement, to further improve the standards for outcome reporting in clinical trial reports. This article combines research examples to interpret the CONSORT-Outcomes 2022 extension, in order to provide normative references for domestic scholars to report clinical research results.
ObjectivesTo explore the characteristics of Chinese methodological studies on patient compliance in clinical trials so as to provide reference for clinical trial of patient compliance in future.MethodsCNKI, VIP, CBM and WanFang Data databases were electronically searched to collect methodological studies on patient compliance in clinical trials published in Chinese language from January 2000 to December 2018. Two reviewers independently screened literature, extracted data and then, qualitative analysis of document characteristics was then performed.ResultsA total of 84 articles were included, in which 68 were studies on Western medicine and 16 were studies on traditional Chinese medicine (TCM). The results showed that: the quantity of studies on patient compliance increased along with time. However, those in TCM field did not increase. All included studies summarized their strategies to improve patient compliance, however key information for quality evaluation were missing.ConclusionsThere is still a lack of research on how to improve patients’ compliance in clinical trials to ensure the reliability of the results. Existing studies have not systematically and comprehensively explored the influencing factors of patients’ compliance. Clinical trials researchers in China have not focused sufficiently to patients’ compliance and lack the proper methodology to frame studies.
Objective To compare the balance of simple randomization, stratified blocked randomization and minimization. Methods Monte Carlo technique was employed to simulate the treatment allocation of simple randomization, stratified blocked randomization and minimization respectively, then the balance of treatment allocation in each group and the balance for every prognostic factor were compared. Results The simulation demonstrated that minimization provides the best performance to ensure balance in the number of patients between groups and prognostic factors. Balance in prognostic factors achieved with stratified blocked randomization was similar to that achieved with simple randomization. Conclusion Minimization offers the best balance in the number of patients and prognostic factors between groups.
This article briefly introduces the management of clinical trials of investigational new drugs, hospital-made preparations, post-marketing drugs and other types of clinical trials. The WHO International Clinical Trial Register Platform (WHO ICTRP), Chinese Clinical Trial Register (ChiCTR) and Chinese Clinical Trial Registration and Publishing Collaboration (ChiCTRPC) are also described. People conducting trials are advised to apply the basic philosophy of evidence-based medicine in their implementation, which is considered to be one of the guarantees of the validity of clinical trials.
When there is a lack of head-to-head randomized controlled trials between two interventions of interest, indirect comparison methods can be employed to estimate their relative treatment effects. Matching-adjusted indirect comparison (MAIC) is a population-adjusted indirect comparison method that utilizes a weighting approach. Unanchored MAIC is particularly applicable in scenarios where a common control group between the two interventions is not available. This article introduces the background and mathematical theory of unanchored MAIC, along with a demonstration of the operational steps and interpretation of results through an application example.
Response-adaptive randomization (RAR) dynamically adjusts the probability of assigning patients to different groups, optimizing treatment efficacy and participant welfare. It is particularly suitable for clinical studies involving multiple interventions or dose-finding and seamless phase II/III trials. This paper systematically introduces the concept, principles, and types of RAR, as well as its application in clinical trials (including traditional Chinese medicine research). It also provides R implementation code, offering researchers practical tools aimed at promoting the adoption of RAR in clinical practice.
Statistical analysis of clinical trials has traditionally relied on frequentist methods, but Bayesian statistics has attracted considerable attention from regulators and researchers in recent years due to its unique advantages, and its use in clinical trials is increasing. Despite the obvious advantages of Bayesian statistics, the complexity of its design, implementation and analysis poses a number of challenges to its practical application, which may lead to an increased risk of unregulated use. This study aims to comprehensively sort out the application scenarios, common methods, special considerations and key elements of reporting of Bayesian statistical methods in clinical trials, with the aim of providing researchers with references for conducting Bayesian clinical trials, and promoting the scientific and rational application of Bayesian statistical methods in clinical trials.
Controversy exists regarding the ethics of using placebo control groups in clinical trials when effective treatments exist. The debate was fueled by the announcement of the 5th revision of the Declaration of Helsinki (2000). This study reviews the history and scientific background surrounding the controversy and investigates the prevailing attitudes of Hong Kong researchers regarding this issue. The controversy has centered on a few issues. The first involves the methodological superiority of placebo-controlled trials in discerning treatment effects. Secondly, it is unclear if the treatment effects encompass absolute treatment effects (including placebo effects) or are confined to treatment-specific effects (excluding placebo effects). Thirdly, there are worries that subjects in the placebo group could be exposed to higher risk for developing serious adverse events. Fourthly, it is debated whether the standard of best available treatment should be a local one, or an international one. Preliminary research findings suggest that the opinions of the Hong Kong researchers seemed to be divided on the use of placebo control groups in clinical trials when effective treatment exists. Further researcher on the topic is therefore warranted, training and consensus meeting may be necessary to minimize the confusion related to this issue.
ObjectiveTo systematically reviewed the progress of Zelen’s design and its modifications in clinical research and clarified its methodological elements, advantages, and limitations. MethodsA systematic literature search was conducted for Zelen’s design from databases. The data were extracted. ResultsOne hundred and twenty-four trials were included. The dominant disease in this design was mental disorders, followed by osteoarthrosis diseases, cancer, cardiovascular diseases, and others. Regarding types of consent, more than half of the trials used a double-consent (71, 57.26%), and 42 used a single-consent. Eleven trials used a modified Zelen’s design nested within an observational study. This design used a two-stage informed consent. Stage 1, patients were invited to participate in a cohort study; Stage 2, patients randomized in the experimental group were informed of the allocation result and asked whether they would like to follow the treatment. Five trials used the McNulty-Zelen design, which could be applied in cluster randomized controlled trials and overcome the potential bias of the Hawthorne effect. Intention-to-treat analysis was the main population used in Zelen’s design. ConclusionZelen’s design has a broad application in the foreground in clinical trials. It could also be used to adapt to research needs by combining with various observational studies. Zelen’s design offers unique advantages in reducing recruitment difficulty, improving patient compliance, and minimizing bias. Although the randomization of patients without their prior consent raises potential ethical concerns, these can be addressed through methods such as nested observational studies or supplementary informed consent. In real-world applications of Zelen’s design, it is necessary to design a reasonable informed consent strategy and data statistical analysis method according to the research context. Attention must be paid to the impact of sample size, group shifting and selection of dataset on the results, to improve the interpretability and accuracy of the results.