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.
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.
This article introduces a dynamical stratified blocked randomized algorithm when the static stratified blocked randomized algorithm is not suitable to resolve the problem caused by uncertain stratified factors and levels during calculation of the sample size at the stage of clinical trial design. Prior to the start of the clinical trial, a list of random numbers is created by blocked randomized algorithm. During field implementation, a block of random numbers is dynamically allocated to a stratify level. Thereafter, a subject is randomized into different groups in that block. The study of Chinese medicine for gastric cancer anemia and blood hypercoagulability is used as an example to illustrate how to design and implement dynamic stratified block randomized algorithm. The results show that the dynamic stratified block randomized algorithm is more flexible and adaptable than the static stratified blocked randomized algorithm. However, its application is more complex and requires higher standards in clinical trials.
In order to standardize the reporting of sham acupuncture and improve the quality of reporting of sham acupuncture, Beijing University of Chinese Medicine has developed a specific reporting guideline for sham acupuncture: SHam Acupuncture REporting (SHARE) which contains ten categories with nineteen items. This paper introduces the development methods and main contents of the guidelines to provide a reference for researchers to correctly understand and reasonably apply the guidelines.
Umbrella review is a third study conducted through evidence synthesis method, based on the secondary studies including systematic reviews and meta-analyses. Although it has been widely used abroad, further understanding, recommendation and application of this type of method are still limited in China. We introduced the definition, objective, present application, the similarities and differences with systematic reviews or meta-analyses, indications, limitations, and research progress of umbrella review in the research area of traditional Chinese medicine (TCM), aiming to benefit future clinical research and treatment in practice.
ObjectiveSham acupuncture control is a commonly employed method to assess the specific effects of acupuncture in clinical trials. However, due to the absence of specific reporting standards, the reporting quality of sham acupuncture in these trials is low. In order to standardize the reporting of sham acupuncture and improve the reporting quality of sham acupuncture, our project team has developed SHam Acupuncture REporting guidelines and a checklist in clinical trials (SHARE). MethodsThe development process included four parts: we conducted literature research to form initial items of sham acupuncture reporting; two rounds of Delphi surveys were carried out to evaluate the reporting necessity of these initial items; two expert consensus meetings were held to further discuss and agree upon the Delphi results and approve the SHARE checklist; a pilot testing was conducted to assess the feasibility and practicality of the list and make necessary revisions to generate the final SHARE checklist. ResultsThe SHARE checklist consisted of 10 categories with 19 items. The requirements for reporting sham acupuncture primarily focused on sham acupuncture detailed information as well as relevant background factors. ConclusionThe SHARE serves as specialized reporting guidelines for sham acupuncture that offers clear guidance on comprehensive and concise reporting of sham acupuncture.