ObjectiveTo investigate the domestic and abroad hypertension-related clinical trial registration and to analyze the registration of hypertension-related clinical researches in China.MethodsUsing hypertension as the keyword, we searched ClinicalTrials.gov and Chinese Clinical Trial Registry (ChiCTR) from January 2008 to December 2018. We analyzed the collected data on the distribution of registered clinical researches, annual trends, sample sizes, trial progress, research types, study designs, blind methods, clinical stages, the number of participating institutions, the leading institutions, etc.ResultsThe total number of registered hypertension-related clinical trails was 4 991 all over the world, and 551 items were conducted in China. Most of the sample sizes of Chinese hypertension-related clinical trials were 100 to 999. The main types of trials were interventional studies (393 items, 71.32%), followed by observational studies (126 items, 22.87%). Randomized parallel control studies (300 items, 76.34%) were the key component of interventional studies, while cohort studies (61 items, 48.41%) were the chief component of observational studies. The main stages of clinical trials were stage Ⅲ (80 items) and stage Ⅳ (122 items). There were 369 domestic single-center clinical trials (66.97%), 89 domestic multi-center clinical trials (16.15%), and 93 international multi-center clinical trials (16.88%). Among the 93 international multi-center trials of hypertension, only 25 were led by China.ConclusionsThe number of Chinese hypertension-related clinical trial registrations increased year by year and then decreased slightly, but the amount of registrations is limited. The quantity and scale of multicenter clinical studies were not as good as America. China should strengthen the awareness of clinical research registration, strengthen the publicity and supervision of the registration of clinical researches by the department of science and management, improve the number of clinical trial registrations, make Chinese clinical researches more transparent, and strive to lead more international multi-center clinical trials.
ObjectiveTo compare drug clinical trials between China, the United States, Europe and Japan in terms of study type, design, completion and results publication.MethodsWe randomly selected 190 clinical trials that were registered in ClinicalTrials.gov from 2009 to 2014, and followed up to December 31st, 2019. Comparisons were made for the type of sponsor, phase, design, and completion status by the sponsor’s country.ResultsAmong all included clinical trials, trials from the United States, Europe, Japan and China accounted for 50.5%, 34.2%, 9.0% and 6.3%, respectively. Among these trials, 71.1% had been completed and 69.5% disclosed results had been published publicly prior to the end of follow-up, and differences between countries were statistically significant (P<0.05). Two-thirds of the trials in China were phase Ⅲ/Ⅳ trials; in contrast, most of the clinical trials in the United States and Europe were phase Ⅰ/Ⅱ trials. The proportion of using double-blind, randomized controlled trial design was the highest in the United States (46.9%) and the lowest in China (8.3%). Chinese sponsors were mostly hospitals/universities (58.3%), while in other countries drug trials were mostly sponsored by the industry and in Japan the proportion was as high as 94.0%.ConclusionsThe number of drug trials registered in ClinicalTrials.gov from China is small and these trials are less likely to be completed and have results published/disclosed. Pharmaceutical companies in China should pay more attention to the public registration of their clinical trials, particularly those in early phases, and improve trial design and management.
In 2007, the findings from clinical trials on stroke treatment have been both encouraging and disappointing. In order to interpret the challenges and opportunity in evidence-based stroke practice, we reviewed several major clinical trials in stroke that were published last year. It revealed that we should strengthen the evidence base for acute stroke care by conducting more high-quality randomized controlled trials and by increasing the energy, resources and manpower available for these trials.
ObjectiveTo systematically review the effects of aminophylline combined with traditional Chinese medicine (TCM) in the treatment of asthma. MethodsDatabases including The Cochrane Library(Issue 1, 2015), PubMed, EMbase, CNKI, VIP and WanFang Data databases were electronically searched from January 2005 to December 2014 to collect randomized controlled trials (RCTs) about the treatment of bronchial asthma combining aminophylline with TCM. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was performed using RevMan 5.3 software. ResultsA total of 10 RCTs involving 820 participants were included. The results of meta-analysis showed that: The total clinical effective rate in the aminophylline plus TCM group was higher than that of the aminophylline alone group (RR=1.22, 95%CI 1.11 to 1.33). The FEV1 in the aminophylline plus TCM group was also higher than that of the aminophylline alone group (MD=0.53, 95%CI 0.33 to 0.73). ConclusionCurrent evidence shows, the total clinical effective rate of aminophylline combined with TCM for asthma is better than that of aminophylline alone, and its mechanism may be related to the improvement of FEV1. Due to the limited quantity and quality of included studies, the above conclusion needs to be further verified by more high quality studies.
Based on evidence-based medicine (EBM) and from the viewpoint of providing scientific evidence for clinical application, we found that Traditional Chinese Medicine (TCM) was short of adequate evidence to support its therapeutic effects due to lack of high quality clinical research. Data management plays a very important role in clinical research. Lack of adequate data management may lead to low quality clinical research. Thus, it is of great importance to establish a set of standards for data management so as to improve the quality of clinical research. Based on the real practice in Myocardial Infarction Secondary Prevention Study in TCM (MISPS-TCM), this article introduces methods on data audit in clinical trials of TCM.
ObjectivesTo analyze the research status and hot spots of hypertension-related clinical trials in special Chinese population registered on the Chinese Clinical Trial Registry (ChiCTR), so as to provide a basis for the development of hypertension-related research in special population in China.MethodsThe ChiCTR was searched online (up to August 31st, 2019, no limitation in the status of trial registration), all clinical trials on hypertension in special population were collected, and the general characteristics, researched diseases, research types, intervention measures and main outcomes of the trials were analyzed.ResultsA total of 64 hypertension-related clinical trials in special population registered in the ChiCTR were included, including 41 (64.1%) trials registered in last 3 years. The registration status of 46 (71.9%) trials was pre-registration. The registered authors were mainly from colleges and universities or medical institutions (n = 61, 95.3%), of which 60.9% were registered in Beijing, Shanghai, Guangdong, Zhejiang, Jiangsu and Hebei. The researched diseases mainly included elderly hypertension and hypertensive stroke, accounting for 50% of the total. Additionally, 37 (57.8%) clinical trials were intervention studies, of which 21 (56.7%) were drug-based intervention studies. Blood pressure, blood glucose, cardiovascular and cerebrovascular events, blood lipid, cranial MRI and Glasgow Coma Scale were the commonly used outcomes, accounting for 58.5% of the total outcomes. Most blood pressure measurements did not indicate the measurement method (n = 22, 64.7%).ConclusionsThe quantity of hypertension-related clinical trials in special population registered on the ChiCTR is increasing, however, there exists regional imbalance. The drug intervention-related clinical trials of elderly hypertension have become a research hot spot. However, blood pressure measurement method is not indicated in most trials, and some researchers do not register in time. Therefore, it is suggested that researchers should further strengthen the awareness of carrying out high-quality clinical trials.
The sample size of a meta-analysis should not be less than a single randomized controlled trial. Trial sequential analysis (TSA) can provide required information size and monitoring boundary to justify the conclusion of meta-analysis. However, the TSA software is only suitable for binary and continuous data, and it cannot analyze the time-to-event data. This paper aimed to introduce how to analyze the time-to-event data using TSA approach.
ObjectiveTo explore the application of enhanced funnel plots (EFP) and trial sequential analysis (TSA) in robustness assessment of meta-analysis results.MethodsData were extracted from published meta-analysis. The EFP was used to evaluate the robustness of the significance and heterogeneity of the current meta-analysis. The TSA was used to judge the sufficiency of the cumulative sample size of the current meta-analysis and to assess the robustness of conclusions based on current evidence.ResultsThe EFP showed that the meta-analysis results of low-density lipoprotein (LDL) was robust, and the meta-analysis results of triglyceride (TG), total cholesterol (TC) and high-density lipoprotein (HDL) were not stable. The TSA showed that the cumulative sample size of LDL had reached the required information size (RIS), and the current conclusion was stable. The cumulative Z value of TG, TC and HDL neither reached the RIS nor passed through the TSA monitoring boundary or futility boundary, indicating that current conclusions were not robust.ConclusionsThe combination of EFP and TSA can make a comprehensive judgment on the robustness of current meta-analysis results, and provide methodological support in the robustness assessment of results for future systematic reviews and meta-analyses.
Trial sequential analysis (TSA) can identify inclusive results of apparently conclusive of meta-analyses by providing require information size and monitoring boundary. Certain methods of calculating information size are existed. Our objective was to give a brief introduction of four methods to help readers to better perform TSA in making meta-analyses.
Objective To analyze the current research status, characteristics and development trends of traditional medicine-related clinical trials registration, and to provide ideas and directions for further development of traditional medicine clinical trials. Methods The International Traditional Medicine Clinical Trial Registry (ITMCTR) database was searched by computer from inception to June 30, 2024, with unlimited trial registration status, to collect all the clinical trials on traditional medicine, and analyze the basic information of the trials, the diseases studied and the interventions. Results A total of 4 349 clinical trials related to traditional medicine were included, with the number of registrations peaking in the second half of 2020, and showing a steady upward trend after 2023. The trial sponsors of the study covered 9 countries and a total of 34 provinces/autonomous regions/municipalities in China, led by Beijing, Shanghai, Guangdong, Sichuan, and Zhejiang provinces, accounting for 69.72% of the total. The financial support for the studies was dominated by local government funds in various provinces and cities, accounting for 29.66%. Disease types studied were mainly circulatory system diseases, musculoskeletal system or connective tissue diseases, and tumor diseases, accounting for 29.91% of the total. A total of 3 751 (86.3%) clinical trials were interventional studies, of which randomized parallel control was predominant, and 213 large-sample studies with a sample size of more than 1 000 cases were included. A total of 20 types of interventions were involved, of which 1 114 (29.86%) clinical trials utilized oral prescription of herbal medicine interventions. Conclusion Clinical trial enrollment in traditional medicine has increased overall, but with significant geographic unevenness. Oral herbal soup/granule intervention studies are the mainstream hotspots. It is recommended to strengthen international cooperation, enrich the types of interventions, refine the trial design, and raise the awareness of researchers about the registration of high-quality traditional medicine clinical trials.