Radiomics extracts high-throughput quantitative features from medical images and converts into minable data, in order to utilizes the analysis results of these data to support clinical diagnosis and treatment decisions. In recent years, radiomics has emerged as a significant research method in medical imaging field, while their methodological quality varies. To improve the methodological quality of radiomics research, the METhodological RadiomICs Score (METRICS) was developed by the METRICS working group using an expert consensus process. This tool, which was published in January 2024, comprises 30 items and has been endorsed by the European Society for Medical Imaging Informatics (EuSoMII). With authorization from the METRICS working group, this article introduces and interprets the content of this tool, to promote the understanding and application of METRICS among radiomics researchers in China, and to improve the methodological quality of radiomics research.
Based on previous evidence-based researches and teaching experience, our team conducted literature and book review, and summarized 4 requirements, 1) effect measure calculation and conversion, 2) registration of evidence-based research, 3) evidence-based research database and 4) quality evaluation tools and reporting guidelines. We developed an online platform of evidence-based medicine research helper using the front-end and back-end technology, which can be accessed using www.ebm-helper.cn. Currently, the online tool has included 46 scenarios for effect measure calculation and conversion, introduction of 7 evidence-based research registration platforms, 26 commonly used databases for evidence-based research and 29 quality evaluation tools and reporting guidelines. This online tool can help researchers to solve specific problems encountered in different stages of evidence-based medicine research. Promoting the application of this platform in evidence-based medicine will help researchers to use the tool scientifically and improve research efficiency.
ObjectivesTo evaluate the quality of health information on diabetes in Chinese internet, so as to understand the current status of diabetes network health information, and provide reference for improving and enriching the three-level prevention of diabetes.MethodsThe three most common Chinese search engines: Baidu, Sogou and Haosou Search were searched with the keywords " diabetes” and " diabetes treatment”, using the health information evaluation tool DISCERN score to evaluate the quality of the information, and the integrity and accuracy of information content were evaluated with reference to the " Guidelines for the Prevention and Treatment of Type 2 Diabetes in China (2017 Edition)” issued by the Chinese Diabetes Society of Chinese Medical Association.ResultsA total of 300 links were accessed and included in 17 websites. The DISCERN review showed that only 1 item's average score exceeded 3 points. According to website content score, the excellent part accounted for 11.7%, the good part accounted for 35.2%, the fair part accounted for 47.1%, and the poor part accounted for 5.8%. 50% of websites contained error messages, and the subject of the most error-prone information was diagnosis and treatment. There was a positive correlation between the content score and the DSCERN score in the credibility score and the verbosity score (r=0.71, 0.73, P<0.001). The websites were evaluated by attributes, and the quality evaluation of diabetes-related information in some general-purpose websites was higher than that of diabetes specialist websites.ConclusionsThe quality of diabetes health information on Chinese websites is insufficient. It is necessary for China to establish a web-based information platform for diabetes. China has not yet formed a unified network health information evaluation standard in line with its national conditions. The key to solving the problem lies in the collaboration between professional health personnel and website developers.
In order to promote the effective development of hospital day surgery mode, a construction method of information management platform that meets the characteristics of day surgery mode is presented. By analyzing the business process of the day surgery mode, the system architecture of the information platform is given; according to the difficulty of the surgical scheduling, the two-stage surgical scheduling algorithm based on the ranking theory is given; by analyzing the day surgery data statistically, a multi-angle surgical index analysis module is provided. The information management of the day surgery mode has been realized, and the work efficiency has been improved. A reasonable day surgery information platform construction can help to optimize the daytime surgical procedure and promote the smooth development of day surgery.
Objective To evaluate the quality of undergraduate medical education so as to provide useful and effective feedback information for medical schools and to extend GMER (Global Minimum Essential Requirements in Medical Education) standard. Methods Through questionnaires, 205 resident doctors self-evaluated their abilities or qualities based on GMER standard. The unconditioned logistic regression model was used for data analysis. Results Graduates from undergraduate medical programs mastered the abilities or qualities required in 4 GMER domains i.e. “professional values, attitudes, behaviors and ethics”, “clinical skills”, “communication skills”, and “scientific foundation of medicine”. But the abilities or qualities required in “information management”, “population health and health systems” as well as “critical thinking and research” domains have not been obtained. The main factors that affected the evaluation results were corresponding training to the essentials, learner’s attitude, teaching models and teaching hours. Conclusion Educational sectors should adjust curriculum design so as to help medical students master the abilities required in the 3 domains stated above. Medical schools should conduct some educational research to formulate the most beneficial teaching methods, and import advanced ones to raise the quality of medical education in China.
National Center for Medical Service Administration of National Health and Family Planning Commission of China was established at the beginning of 2015. It is mainly in charge of developing and managing standards of medical technology and organizing their implementation, and giving technical guidance and consulting for evaluation of medical institutions. The foundation of the center fills in the blank of lacking central administrative department of the guideline development and evaluation. This paper introduces the definition and the function of clinical practice guideline, and analyzes the current situation, problems and challenges of domestic guidelines, and proposes some potential suggestions on improving the quality of Chinese guidelines from national level for promoting the standardization, scientification and transparency of clinical practice guidelines in China.
Large Language Models (LLMs) are highly sophisticated deep learning models pre-trained on massive datasets, with ChatGPT representing a prominent application of LLMs in the field of generative models. Since the release of ChatGPT at the end of 2022, generative chatbots have become widely employed across various medical disciplines. As a crucial discipline guiding clinical practices, the usage of generative chatbots like ChatGPT in Evidence-Based Medicine (EBM) is gradually increasing. However, the potential, challenges, and intricacies of their application in the domain of EBM remain unclear. This paper aims to explore and discuss the prospects, challenges, and considerations associated with the application of ChatGPT in the field of EBM through a review of relevant literature. The discussion spans four aspects: evidence generation, synthesis, assessment, dissemination, and implementation, providing researchers with insights into the latest developments and future research suggestions.
Objective To evaluate the quality of Chinese literatures on the methodology of D-dimer diagnostic test. Method We searched CNKI (1994 to 2006) and CBM (1978 to 2006) for articles involving the diagnostic tests of D-dimer for coagulation disorders. Result A total of 63 relevant articles were retrieved and 7 were included in our review. Only one of these provided useful data on two two table for the evaluation of diagnostic accuracy. Conclusions Few studies on the diagnostic tests of D-dimer have been performed and publ ished in China, all of poor quality. Further studies should focus on clinical diagnostic sensitivity and specificity, so as to provide more valuable information for readers.
Objective
To assess the quality of budget impact analysis in China and Canada.
Methods
We searched databases including PubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and VIP from inception to 1st November, 2016, to collect studies about budget impact analysis. Two reviewers independently screened literatures, extracted data and assessed the quality of included studies.
Results
27 literatures were included. The mean grades of Chinese and Canadian literatures were 3.8 and 5.5, respectively. Some Chinese studies did not explicitly clarify the research perspective. Few studies in China were conducted according to budget holders’ perspective and with a short time horizon, or examined the results using sensitivity analyses responsive to the uncertainty surrounding future market developments, or compared between current and comparator scenarios. These deficiencies were not conducive to scientific and rational decision-making.
Conclusion
The quality of budget impact analysis is relatively low in China. It is needed to establish uniform budget impact analysis guideline to improve quality to guide decision making.
Focusing on research quality is a crucial aspect of modern evidence-based medical practice, providing substantial evidence to underpin clinical decision-making. The increase in real-world studies in recent years has presented challenges, with varying quality stemming from issues such as data integrity and researchers’ expertise levels. Although systematic reviews and meta-analyses are essential references for clinical decisions, their reliability is contingent upon the quality of the primary studies. Making clinical decisions based on inadequate research poses inherent risks. With the lack of a specialized tool for evaluating the quality of real-world studies within systematic reviews and meta-analyses, the Gebrye team has introduced a new assessment tool - QATSM-RWS. Comprising 5 modules and 14 items, this tool aims to improve real-world research evaluation. This article aims to elaborate on the tool’s development process and content, using this tool to evaluate a published real-world study as an example and providing valuable guidance for domestic researchers utilizing this innovative tool.
