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.
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.
The assumption of fixed-effects model is based on that the true effect of the each trial is same. However, the assumption of random-effects model is based on that the true effect of included trials is normal distributed. The total variance is equal to the sum of within-trial variance and between-trial variance under the random-effects model. There are many estimators of the between-trial variance. The aim of this paper is to give a brief introduction of the estimators of between-trial variance in trial sequential analysis for random-effects model.
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.
Objective To evaluate the quality of the registration information for trials sponsored by China registered in the WHO International Clinical Trial Registration Platform (ICTRP) primary registries or other registries that meet the requirements of the International Committee Medical Journal Editor (ICMJE). Methods We assessed the registration information for trials registered in the 9 WHO primary registries and one other registry that met the requirements of ICJME as of 15 October 2008. We analyzed the trial registration data set in each registry and assessed the registration quality against the WHO Trial Registration Data Set (TRDS). We also evaluated the quality of the information in the Source(s) of Monetary or Material Support section, using a specially prepared scale. Results The entries in four registries met the 20 items of the WHO TRDS. These were the Chinese Clinical Trial Registration Center (ChiCR), Australian New Zealand Clinical Trials Registry (NZCTR), Clinical Trials Registry – India (CTRI), and Sri Lanka Clinical Trials Registry (SLCTR). Registration quality varied among the different registries. For example, using the Scale of TRDS, the NZCTR scoreda median of 19 points, ChiCTR (median = 18 points), ISRCTN.org (median = 17 points), and Clinical trials.org (median = 12 points). The data on monetary or material support for ChiCTR and ISRCTN.org were relatively complete and the score on our Scale for the Completeness of Funding Registration Quality ranged from ChiCTR (median = 7 points), ISRCTN.org (median = 6 points), NZCTR (median = 3 points) to clinicaltrials.gov (median = 2 points). Conclusion Further improvements are needed in both the quantity and quality of trial registration. This could be achieved by full completion of the 20 items of the WHO TRDS. Future research should assess ways to ensure the quality and scope of research registration and the role of mandatory registration of funded research.
ObjectivesTo analyze the metrological characteristics of hypertension-related clinical trials registered on Chinese Clinical Trial Registry (ChiCTR), and discuss the characteristics and developmental trends of hypertension clinical trials registration in China.MethodsChiCTR were searched to collect hypertension-related clinical trials from inception to March 25th, 2018. The characteristics of registered trials were analyzed.ResultsA total of 135 registered trials were included, in which the trials from Beijing, Guangdong, Jiangsu, Chongqing and Shanghai accounted for 55.5%. 115 trials were pre-registered. The top three funding sources were from finance (32, 23.7%), self-financing (25, 18.5%) and hospital (20, 14.8%), respectively. Of all 79 randomized controlled trials, 55 were blank/missing in the entry of blinding method.ConclusionsThe number of hypertension-related clinical trials in ChiCTR tends to increase, however there are large regional disparities and incomplete, non-standardiazed information in the registration of clinical trials. The relevant departments should increase the publicity on the registration of clinical trials, raise the awareness of registration, and promote the development and registration of high quality clinical trials.
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.
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.
It is potential for N-of-1 trials to evaluate economics of health care, however, it is still in the exploratory stage. With the advantage of accurate estimation of costs and effects, it is beneficial to promote the application of N-of-1 trials for economic evaluation in the era of precision medicine. In this study, we introduce the necessity, feasibility, selection, calculation of indicators and influence factors of N-of-1 trials for economic evaluation, and in order to provide references for researchers to perform related 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.
