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.
Randomized double-blind controlled trials (RCTs) conduct researches in carefully selected populations to ensure results of RCTs are unaffected by external disturbances and provide evidence of safety and efficacy. Real-world researches further help to understand the real world effects of new technologies in different medical environments after-market authorization. RCTs are the evidence foundation of real-world researches, and real-world researches provide valuable complement to RCTs. Medical insurance database is one of the most important database in real-world researches. Now, China's national medical insurance is entering a new era and transits from passive payment and compensation into a value-based strategic purchase mechanism for its insured population to buy the most cost-effective services. It is necessary to establish a mature, well-organized and value-based mechanism. The core of such mechanism is values, which is the price/performance ratio of innovative medicines and technologies rather than looking at the price solely. Demonstrating innovative drug value is an essential part of health care assessment. The authors argue that the assessment of the overall value of innovative technologies or medicines should include and based on the following four dimensions: clinical value, economic value, patient value and society value.
ObjectiveTo explore the association between frailty and in-hospital mortality in older patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods Elderly patients who were hospitalized with AECOPD from June 2022 to December 2022 at a large tertiary hospital were selected. The independent prognostic factors including frailty status were determined by multivariate logistic regression analysis. Mediation effect analysis was used to evaluate the mediating relationships between C-reactive protein (CRP) and albumin and in-hospital death. ResultsThe training set included 1 356 patients (aged 86.7±6.6), 25.0% of whom were diagnosed with frailty. The multiple logistic regression analysis showed that frailty, mean arterial pressure, Charlson comorbidity index, neutrophil–lymphocyte ratio, interleukin-6, CRP, albumin, and troponin T were associated with in-hospital mortality. Furthermore, CRP and albumin mediated the associations between frailty and in-hospital mortality. ConclusionFrailty may be an adverse prognostic factor for older patients admitted with an AECOPD. CRP and albumin may be parts of mechanism between frailty and in-hospital death.
As an important source for real-world data, existing health and medical data have gained wide attentions recently. As the first part of the serial technical guidance for real-world data and studies, this report introduced the concepts, features and potential applications of existing medical and health data, proposed recommendations for planning and developing a research database using existing health and medical data, and developed essential indicators for assessing the quality of such research databases. The technical guidance may standardize and improve the development of research database using existing health and medical data in China.
ObjectiveTo analyze the limitations and challenges for the use of real-world data in the decision making of drug reimbursement through literature review and provide standard process and guideline for the real-world study supporting drug reimbursement. MethodsBy summarizing the relevant policies, regulations, and guiding principles of major drug regulatory agencies worldwide, the study analyzed the applicable conditions, framework, and reimbursement mode for using real-world evidence in the decision making of drug reimbursement. ResultsThe study found that the health technology assessment departments of major developed countries and Asian countries have used real -world evidence to evaluate the drug efficacy and safety. The application scope of real-world data for reimbursement decision included describing the treatment process of the disease, assessing economic burden, verifying economic models, and evaluating the efficacy and safety of drugs. Some developed countries including the United Kingdom and the United States had released guidelines or frameworks of the real-world study for reimbursement decision. The process and framework of using real-world data in reimbursement decision could be divided into three models: coverage with evidence development, outcome-based contract, and re-assessment. ConclusionReal-world data has been widely used in the process of health technology assessment. To adapt to the development of the pharmaceutical industry and to meet the needs of clinical patients, it is urgent to standardize the process of collecting real-world data and formulate the scope and process of using real-world data in the reimbursement process.
ObjectiveWe constructed a real-world evidence evaluation system to provide reference for obtaining high-quality evidence in evidence-based medicine.MethodsThrough the investigation and analysis of the key factors influencing the real-world research evidence, combined with domestic and foreign literature and evaluation tools, we preliminarily constructed the indicators of the real-world evidence evaluation system, then consulted experts in related fields by the Delphi method, modified and determined the final evaluation indicators. ResultsThe indicators of the final real-world evidence evaluation system included 40 items. The recovery efficiencies of the two rounds of expert consultation were 88.2% and 100%; The expert coordination coefficients were 0.174 (P<0.001) and 0.189 (P<0.001). After the second round of consultation, the mean of Likert scale in the range of 3.73~4.93, and the coefficient of variation varied in the range of 0.05~0.21. ConclusionThe real-world evidence evaluation system constructed in this study has certain reliability and scientificity, which can provide a basis and help for the transformation of real-world research into high-quality evidence.
The rapid advancement of causal inference is driving a paradigm shift across various disciplines. "Target trial emulation" has emerged as an exceptionally promising framework for observational real-world studies, attracting substantial attention from medical scholars and regulatory agencies worldwide. This article aims to provide an introduction to CERBOT, an online tool that assists in implementing target trial emulation studies, while highlighting the advancements in this domain. Additionally, the article provides an illustrative example to elucidate the operational process of CERBOT. The objectives are to support domestic researchers in conducting target trial emulation studies and enhance the quality of real-world studies in the domestic medical field, as well as improve the medical service level in clinical practice.
Evidence-based medicine is the methodology of modern clinical research and plays an important role in guiding clinical practice. It has become an integral part of medical education. In the digital age, evidence-based medicine has evolved to incorporate innovative research models that utilize multimodal clinical big data and artificial intelligence methods. These advancements aim to address the challenges posed by diverse research questions, data methods, and evidence sources. However, the current teaching content in medical schools often fails to keep pace with the rapidly evolving disciplines, impeding students' comprehensive understanding of the discipline's knowledge system, cutting-edge theories, and development directions. In this regard, this article takes the opportunity of graduate curriculum reform to incorporate real-world data research, artificial intelligence, and bioinformatics into the existing evidence-based medicine curriculum, and explores the reform of evidence-based medicine teaching in the information age. The aim is to enable students to truly understand the role and value of evidence-based medicine in the development of medicine, while possessing a solid theoretical foundation, a broad international perspective, and a keen research sense, in order to cultivate talents for the development of the evidence-based medicine discipline.
ObjectiveTo compare and analyze the application of anti-vascular endothelial growth factor (VEGF) drugs for intravitreal injection in the real world before and after the establishment of one-stop intravitreal injection center, as well as the advantages and disadvantages of different management modes. MethodsA retrospective clinical study. A total of 4 015 patients (4 659 eyes) who received anti-VEGF drugs for ocular fundus diseases at the Tianjin Medical University Eye Hospital from July, 2018 to June, 2022 were included in the study. There were 2 146 males and 1 869 females. The ocular fundus diseases in this study were as follows: 1 090 eyes of 968 patients with wet age-related macular degeneration (wAMD); 855 eyes of 654 patients with diabetic macular edema (DME); 1 158 eyes of 980 patients with diabetic retinopathy (DR); 930 eyes of 916 patients with macular edema secondary to retinal vein occlusion (RVO-ME). A total of 294 eyes of 275 patients with choroidal neovascularization secondary to pathological myopia (PM-CNV); 332 eyes of 222 patients with other fundus diseases. A total of 13 796 anti-VEGF needles were injected. A total of 1 252 patients (1 403 eyes) from July 2018 to June 2020 were regarded as the control group. From July 2020 to June 2022, 2 763 patients (3 256 eyes) who received anti-VEGF treatment in the intravitreal injection center were regarded as the observation group. The total number of intravitreal injection needles, the distribution of anti-VEGF therapy in each disease according to disease classification, the proportion of patients who chose the 3+ on-demand treatment (PRN) regimen and the distribution of clinical application of different anti-VEGF drugs were compared between the control group and the observation group. The waiting time and medical experience of patients were investigated by questionnaire. χ2 test was used to compare the count data between the two groups, and t test was used to compare the measurement data. ResultsAmong the 13 796 anti-VEGF injections in 4 659 eyes, the total number of anti-VEGF drugs used in the control and observation groups were 4 762 and 9 034, respectively, with an average of (3.39±3.78) and (2.78±2.27) injections per eye (t=6.900, P＜0.001), respectively. In the control and observation groups, a total of 1 728 and 2 705 injections of anti-VEGF drugs were used for wAMD with an average of (5.14±4.56) and (3.59±2.45) injections per eye, respectively; a total of 982 and 2 038 injections of anti-VEGF drugs were used for DME with an average of (4.36±4.91) and (3.24±2.77) needles per eye, respectively. Additionally, a total of 942 and 2 179 injections of anti-VEGF drugs were injected for RVO-ME with an average of (3.98±3.71) and (3.14±2.15) injections per eye, respectively; a total of 291 and 615 injections of anti-VEGF drugs were injected for PM-CNV with an average of (3.31±2.63) and (2.99±1.69) injections per eye, respectively. A total of 683 and 1 029 injections of anti-VEGF drugs were injected for DR with an average of (1.60±1.26) and (1.41±1.05) injections per eye, respectively. The clinical application and implementation of "3+PRN" treatment were as follows: 223 (66.4%, 223/336) and 431 eyes (57.2%, 431/754) in the wAMD (χ2=8.210, P=0.004), 75 (33.3%, 75/225) and 236 (37.5%, 236/630) eyes in the DME (χ2=1.220, P＞0.05), and 97 (40.9%, 97/237) and 355 eyes (51.2%, 355/693) in the RVO-ME (χ2=7.498, P=0.006), 39 (44.3%, 39/88) and 111 eyes (53.9%, 111/206) in the PM-CNV ( χ2=2.258, P＞0.05), respectively. In addition, the results of the questionnaire survey showed that there were significant differences between the control and observation groups regarding the time of appointment waiting for surgery (t=1.340), time from admission to entering the operating room on the day of injection (t=2.780), time from completing preoperative treatment preparation to waiting for entering the operating room (t=8.390), and time from admission to discharge (t=6.060) (P＜0.05). ConclusionsThe establishment of a one-stop intravitreal injection mode greatly improved work efficiency and increased the number of injections. At the same time, the compliance, waiting time, and overall medical experience of patients significantly improved under centralized management.
Traditional randomized controlled trial and real-world study have different advantages in internal validity and external extensibility, respectively. With the development of evidence-based health decisions, randomized controlled trial was no longer the only golden standard of interventional study, the research evidence of the real world was gradually involved in health decisions. This study mainly analyzed the requirements of evidence and actual application of evidence in the evaluation of the effectiveness of NICE in the UK. It was found that NICE still used the results of randomized controlled trials as a primary basis. Although real-world research has developed rapidly in recent years, it was limited used in health decision because of its bias by design and other factors. However, in recent years, real-world evidence has played a significant role in the field of innovative drugs or diseases that lack therapeutic drugs. With the improvement of real-world research in experimental design and data analysis, it is expected that it will play a more important role in health decision-making.