Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

In the era of evidence-based medicine, it is necessary to explore the unique advantages of traditional Chinese medicine (TCM) based on standardized technical methods and operating procedures in order to achieve the modernization and internationalization of TCM and benefit all humanity. The proposal of a three-pronged evidence system combining TCM theory, human experience and experimental evidence marks an important progress in the thinking method of the TCM evaluation system. The multi-evidence body integrated through appropriate methods provides a strong support for the clinical guideline recommendations and evidence-based health decision-making in TCM. Based on the current methodological progress of international evidence synthesis and grading, this paper proposes a novel approach for integrating multi-evidence in TCM: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and provide guidance for the advancement of evidence-based medicine framework in TCM.

The aims of developing rapid and living guidelines is to keep the recommendations in the guideline up-to-date. Compared with the conventional guideline, the rapid and living guideline can make better use of the existing evidence and apply and transform the evidence in a timely manner. This paper introduces the advantages and usage of rapid and living guidelines, the development process and existing challenges, and offers some insights, in order to provide reference for domestic organizations and scholars engaged in guideline development.

Healthy lifestyles and good living habits are effective strategies and important approaches to prevent chronic non-communicable diseases. With the development of evidence-based medicine, the evidence translation system has made some achievements in clinical practice. There is, however, no comprehensive, professional and efficient system for translating lifestyle evidence globally. Therefore, the Health Lifestyle Evidence (HLSE) Group of Lanzhou University constructed the HLSE Evidence Translation System (https://hlse.cn/), with the aim of synthesizing, evaluating, translating, and applying lifestyle-related evidence resources. This paper aims to introduce the functional module design of the evidence translation system, the system development process and testing, introduce the interface design and function demonstration, and explain the significance of constructing the HLSE.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

Objective    To explore the treatment outcome of carotid endarterectomy combined with vertebral artery transposition in patients with severe stenosis to occlusion of the vertebral artery V1 segment and the ipsilateral carotid artery. Methods    From June 2017 to September 2020, patients with severe stenosis to occlusion of the vertebral artery V1 segment and the ipsilateral carotid artery treated with carotid endarterectomy combined with vertebral artery transposition in Fuwai Hospital were retrospectively analyzed. Results    Finally 12 patients were enrolled, including 10 males and 2 females with an average age of 67.8±6.0 years. Twelve patients were successfully operated and the follow-up time was 1-3 years. The stenosis degree of the V1 segment of the vertebral artery decreased from 83.5%±11.8% to 24.9%±14.3% (P<0.001). The stenosis degree of carotid artery decreased from 85.6%±11.0% to 0% (P<0.001). Postoperative follow-up showed that the symptoms of symptomatic patients before surgery improved. The 1-year and 3-year patency rates were 100.0%, and there were no peripheral nerve injury complications, perioperative deaths or strokes. Conclusion    Carotid endarterectomy combined with vertebral artery transposition can treat ipsilateral carotid artery  stenosis and vertebral artery stenosis at the same time, improve blood supply to the brain, improve patients' symptoms and has high promotion value.

Art therapy plays an important role in enhancing the emotional expression of patients, treating mental and psychological diseases, and promoting the recovery of cancer patients.Due to its extensive meaning and various intervention measures, strengthening the guidance and monitoring of art therapy are important in improving the medical quality of related fields.Clinical practice guidelines are important tools to guide and standardize medical behavior, and also are important guarantees for the implementation effect of medical behavior.Therefore, this article will summarize the current situation of art therapy guidelines, and on this basis, reflect on the formulation and implementation of relevant guidelines and recommendations.

Artificial intelligence(AI) empowers the development of the medical industry, providing precise and intelligent assistance for clinical diagnosis, treatment, and rehabilitation.AI has the potential to facilitate shared decision making (SDM), but AI interventions used for SDM are currently in their infancy, presenting both challenges and opportunities. This paper aims to describe the application of AI in SDM, explore the problems and challenges of AI-based decision aid used for SDM, and propose possible solutions, aiming to provide a guide for the development and implementation of AI-based decision aid.

The development of clinical practice guidelines involves a series of evidence-based decision-making processes, of which the formation of recommendations is particularly challenging. It demands decision-makers to have a thorough and precise understanding of the evidence, weigh the potential benefits and risks of interventions, and make valuable judgments and clinical choices. Compared to traditional approaches of presenting evidence information, the use of visualization tools can facilitate the communication and analysis of evidence, simplify information interpretation, and improve the efficiency of decision-making. Based on previousstudies, this paper proposes a visualization tool, vitruvian plot, for summarizing evidence and provides illustrative examples to demonstrate its usage and effects, with the aim of offering valuable guidance for researchers.