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Objective To analyze the development method of existing clinical practice guidelines in primary care to inform the future development of high-quality clinical practice guidelines in primary care. Methods Chinese and English databases and guideline websites were systematically searched for clinical practice guidelines in primary care published from January 1, 2019 to December 31, 2021, with additional searches conducted by reference tracing and Google Scholar. After screening was completed, basic information on included studies and information related to the development methodology was extracted and analyzed. Results Twenty primary guidelines published between 2019 and 2021 were finally included, 95% of which originated from developed countries. The most common developing institutions were universities/research institutes (8, 40%), the disciplines with the most attention were nursing (4, 20%), infectious diseases (3, 15%), and gastroenterology (3, 15%), and the areas of the guidelines were mainly focused on management (4, 20%), treatment (4, 20%) and nursing (3, 15%).None of the guidelines were registered, and 11 (55%) guidelines used evidence grading and strength of recommendation criteria. Mean reporting on the 18 topics in the Guideline 2.0 inventory was 40%, with relatively good reporting on the topics of guideline panelists (85%), conflict of interest considerations (75%), and evidence retrieval and incorporation (75%), and low reporting on the topics of organizing-budgeting-planning-training (15%), and summarizing the evidence and considering other information (15%). Conclusions The number of clinical practice guidelines in primary care that explicitly report on the methodology and process of development is low, and there is insufficient consideration of the relevant topics in the Guideline 2.0 checklist. It is recommended that future research focus on standardizing the reporting of clinical practice guidelines in primary care and developing the methodological guidebook for guideline development.
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In view of the limitations of traditional pancreatobiliary endoscopy technology, which include capturing image information that is time-consuming, inefficient, and susceptible to endoscopists proficiency, the new diagnosis and treatment pattern of artificial intelligence assisted pancreatobiliary endoscopy has been providing a potential solution. Artificial intelligence technology provides an efficient and accurate method for pancreatobiliary endoscopy to automatically recognize images, which can aid endoscopists to achieve rapid and accurate clinical prediction and guide clinical decision-making. Meanwhile, artificial intelligence has great potential of development for applications in many aspects such as quality control and training of procedure. This paper provides an overview of the current status and research progress in the application of artificial intelligence in pancreatic and biliary endoscopic techniques, hoping to provide new ideas and methods for improving the current clinical diagnosis and treatment pattern and realizing precision medicine for pancreatobiliary diseases.
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Ischemic stroke is a cerebrovascular disease with high incidence, high mortality, high disability rate and high recurrence rate, which is an important cause of death and disability of middle-aged and elderly people in China, and brings a huge burden to society and families. Therefore, it is essential to identify the risk factors associated with ischemic stroke and effectively prevent them. Studies have shown that obstructive sleep apnea is an independent risk factor for ischemic stroke. However, the exact pathological mechanism of their association has not been clarified. With the development of next-generation sequencing technology, more and more studies have focused on intestinal microbiota, finding that obstructive sleep apnea can cause intestinal microbiota changes, and intestinal microbiota may be closely related to ischemic stroke. Therefore, this paper attempts to investigate the relationship between intestinal flora and ischemic stroke related to obstructive sleep apnea, in order to reveal the potential pathological mechanism of ischemic stroke caused by obstructive sleep apnea.
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Objective To analyze the methodological and reporting quality of systematic reviews of prediction models published in Chinese journals, with the aim of providing references for enhancing the quality of Chinese systematic reviews of prediction models. Methods Chinese systematic reviews of prediction models were electronically searched in CNKI, WanFang Data, CBM, and VIP databases from inception to July 20, 2023. Two independent reviewers screened literature, extracted data, and used the AMSTAR and PRISMA 2020 tools to assess methodological and reporting quality of the included reviews. Results A total of 55 systematic reviews published between 2015 and 2023 were included, with 12 of them being meta-analyses. These reviews encompassed a range of topics, with a primary focus on cardiovascular diseases, stroke, and diabetes. The identified systematic reviews exhibited obvious deficiencies in some areas, including items 1, 4, 5, 6, and 10 of AMSTAR, as well as items 7, 10a, 12, 13a-f, 14, 15, 16a-b, 17, 20b-d, 21, 22, 23d, 24a-c, 25 and 26 of PRISMA 2020. Furthermore, a moderate positive correlation (r = 0.58, P < 0.001) was observed between the methodological and reporting quality. Multiple linear regression analyses revealed: greater number of pages, more recent publications, and funding support were associated with higher methodological quality (P < 0.05). Similarly, greater number of pages, more recent publications, qualitative systematic reviews, and funding support were associated with higher reporting quality, but the number of authors showed a negative association (P < 0.05). Conclusions The current systematic reviews of prediction models published in Chinese journals require enhancement in both methodological and reporting quality.
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MA Yueh-ch’ing (1906—1984) graduated from Peking Union Medical College in 1934 and became the first Chinese anesthetist hired by Peking Union Medical College Hospital in 1939. This article briefly introduces MA Yueh-ch’ing’s personal experience and major achievement in anesthesiology based on the development and historical background of global anesthesiology.
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Osteoarthritis (OA) is a chronic degenerative joint disease whose main characteristic is the destruction of articular cartilage, causing pain and disability in patients and seriously affecting their quality of life. OA can be induced by a variety of causes, and pathological changes in articular cartilage are considered to be one of the key driving factors for the occurrence of OA. High mobility group box-1 protein (HMGB1), as a non-histone protein in eukaryotic cells, can participate in regulating the inflammation and apoptosis process of OA chondrocytes, thus leading to the occurrence of OA. This article reviews the research on the mechanism of HMGB1 in OA chondrocytes, with a view to providing new ideas for the clinical prevention and treatment of OA.
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Endovascular intervention has become the main treatment method for a variety of cardiovascular and cerebrovascular diseases, but it has some limitations, such as exposure under X-ray during the procedure so that operators need to wear heavy protective garments. With the breakthrough of artificial intelligence, the limitations of the traditional endovascular intervention therapy can be solved by controlling the robot-assisted system outside the operating room. Moreover, the rapid development of the robot-assisted system in recent years has further improved the accuracy, stability, and safety of endovascular intervention therapy. This article focuses on the advantages of the robot-assisted system, the types of the system, its application in clinical treatment, as well as the existing problems of the system and the prospects of its future development.
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Robotic system has overcome the limitations of traditional laparoscopy and promoted the development of minimally invasive surgery. However, in the early stage of robotic hepatopancreatobiliary surgery, the lack of resection and reconstruction technology compatible with the robotic system restricts its application. Based on the previous experience, we propose the circumvascular resection technique, which takes the main blood vessels as the mark, mobilizes the blood vessels and excises the soft tissues around the blood vessels, and the double-low reconstruction technique, which can improve the reconstruction quality by reducing the tissue tension and the tensile stress per unit area during the reconstruction. These two techniques can address the limitations of the robotic system including limit operating space and lack of force feedback, and help to improve surgical safety, reduce learning curve and promote the clinical application of robotic hepatopancreatobiliary surgery.
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Spondyloarthritis (SpA) is a group of chronic inflammatory diseases which predominantly involve spine and/or peripheral joints. SpA can be disabling and seriously affect the quality of life and function of patients. With the increasing clinical use of targeted drug therapy, precise and standardized use becomes the focus. China's first Consensus on Targeted Drug Therapy for Spondyloarthritis was developed by National Clinical Research Center for Dermatologic and Immunologic Diseases using international norms for consensus development. The consensus addresses 13 important clinical questions, ranging from principles, patient eligibility, pre-treatment screening, treatment initiation, drug selection and switch, comedication, to adverse event monitoring of targeted drug therapy in SpA, and recommends treatment for specific patients, playing a key role in guiding clinical practices.
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Liver transplantation is the only effective treatment for end stage liver disease, which is characterized by complicated surgery, long surgery time, high trauma, etc, patients experience a variety of difficulties following surgery, including infection, abdominal bleeding and rejection, all of them directly affect the quality of rehabilitation. Enhanced Recovery After Surgery (ERAS), a novel perioperative management strategy, can effectively promote postoperative recovery of patients and has been extensively implemented in various fields of surgery. However, there are not any thorough and scientific universal ERAS protocols in the fields of liver transplantation in China. The first Consensus Recommendations of Enhanced Recovery for Liver Transplantation was issued by the International Liver Transplantation Society in December 2022, offering recommendations about ERAS strategies for liver transplantation recipients of receiving deceased and living organ donations, and for living donors of liver transplantation. This paper provides a detailed interpretation of its key points to offer a practical reference for domestic liver transplantation perioperative ERAS management.

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Insulin was introduced to China in 1923. Before it entered China, the Internal Medicine Department of Peking Union Medical College Hospital( PUMCH) had actively introduced insulin and planned to produce the drug in China. On the occasion of the 100th anniversary of the introduction of insulin into China, the author utilized the archives of Peking Union Medical College( PUMC) , the medical journals, the annual report of PUMCH, and other historical materials to write a short article to trace this little-known history. The aim is to enrich the history of medicines, the history of diabetes, and the history of the PUMC and PUMCH.

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Objective To establish and evaluate the clinical teaching and training model for refresher anesthesiologists. Methods 25 refresher anesthesiologists from the department of Anesthesiology during the period of March to September 2023 were enrolled. They received the clinical teaching and training model, namely “tutorial system-knowledge update-clinical practice”. The refresher anesthesiologists completed the same structured pre-designed questionnaire before the start and the end of training respectively. The scores were recorded and compared to evaluate the effectiveness of the clinical training model. Feedback from refresher anesthesiologists about the teaching and training model was also collected. Results 21/25 and 25/25 questionnaires distributed were completed before the start and the end of advanced training respectively. The mean score before the start was 5.6±1.8 points. And the mean score before the end of training was 10.1±1.1 points, which was significantly higher than that before the start(P<0.001). 92% students gave positive feedback. Conclusions The “tutorial system-knowledge update-clinical practice” clinical teaching and training model was useful to elevate the effectiveness of training refresher anesthesiologists and their satisfaction.
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Clinical pharmacology is an important discipline that bridges clinical medicine and pharmacology. In the teaching practice, it is necessary to keep up with educational reform and adopt the seminar teaching method combined with casebased learning (CBL), so as to practically improve the benefits of both "teaching" and "learning". The teaching of ideology and politics in the curriculum is the key to cultivating students' high sense of responsibility and noble medical ethics, and realizing the goal of moral education. At present, in the teaching of clinical pharmacology of antineoplastic drugs, there are problems such as students' weak basic knowledge of oncology pharmacology, separation of "teaching" and "learning" due to the traditional teaching method, outdated teaching materials, and low motivation of students. Therefore, this paper takes this part of the course teaching as an example to initially explore the role of the innovative model of "Seminar-CBL-Ideological and Political Education " in the teaching practice of clinical pharmacology, with the hope of stimulating the students' interest in learning, cultivating students' correct outlook on the world, life, and values, achieving the goals of "teaching" and "learning", and providing reference for optimizing clinical pharmacology education.
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As a natural language processing model based on artificial intelligence technology, ChatGPT provides a new path in assisting clinical care implementation, enhancing patient health management and realizing patient intelligent companionship. Given that any technology has two sides, ChatGPT also has potential risks in nursing practice, such as nursing errors induced by insufficient construction, alienation of nurse-patient relationship caused by "digital dependence", and ethical considerations caused by information worries. Therefore, it is suggested to improve the regulatory system, clarify the main body of responsibility, break the "information cocoon", improve digital literacy, control information "streaked", avoid algorithm discrimination and other strategies to improve the application value of ChatGPT in nursing practice and promote the rational development of ChatGPT artificial intelligence in the field of nursing.
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With the rise of artificial intelligence medical device(AIMD) industry, it is urgent for stakeholders to establish consensus on definition and concepts of AIMD quality evaluation, which further supports development of standards and guidelines. To break through such bottleneck, NMPA published a sectoral standard, YY/T 1833.1-2022 Artificial intelligence medical device— Quality requirements and evaluation—Part 1: Terminology in 2022, which provided unified terminologies. This standard is divided into five chapters, including basic technical terms, data set terms, quality characteristics terms, quality evaluation terms and application scenario terms, with a total of 158 terms. This article introduces the general overview, the drafting history and explains the significance. It is aimed at guiding the development of the artificial intelligence medical device industry.

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In December 2022, the Guidelines for the Diagnosis and Treatment of Primary Osteoporosis (2022) were released, which updated the latest epidemiological data of osteoporosis in China, combined with evidence-based medical evidence and clinical practice experience in this field, and gave the latest recommendations for the diagnosis and treatment of osteoporosis. This article interprets the key points of the guidelines in order to help healthcare workers better understand and follow the guidelines
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With the rapid development of emerging biotechnologies such as high-throughput sequencing, multi-omics and multi-dimensional research models for biological big data have been initiated. Concurrently, the fast-evolving technologies such as mathematical modeling, artificial intelligence, cloud computing, blockchain, big data, the Internet of Things, and 5G have enabled the possibility of developing digital twin. Digital twin is a model mapping of physical objects, processes, and systems in digital space, which has shown great potential in the medical field. On the one hand, digital twin technology can provide visualized 3D structures for human organs and systems to assist diagnosis and treatment. On the other hand, it provides a tangible "skeleton" for data mining in genomics, metabolomics, and phenomics, and can simulate processes for chronic disease management, drug development, and clinical trials, thereby advancing the medical field. This article reviewed the methods and applications of digital twin in the medical field, aiming to provide reference for the development of medical digital twin research in China.
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Primary health care institutions should be the main force of China's medical and health service system and the cornerstone of the national health care system. During the COVID-19 epidemic, China's primary health care institutions have played a huge role, but at the same time, many deficiencies and weaknesses have also been highlighted. Through systematic literature search and analysis, this article found that China's primary health care institutions have some problems such as low demand for patient care, weak integration of the health system, weak service foundation, and insufficient emergency response capacity for public health emergencies, etc. Accordingly, we put forward a strategy for the construction of primary health care institutions based on the “Three Forces Theory”, which will help to improving the primary medical and health care service system, upgrading the capacity of primary medical and health care services, and better fulfilling the strategic goal of “Healthy China 2030”.

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As a common neurological disease, cognitive impairment is characterized by cognitive decline, memory and attention impairment, which seriously affects the quality of life of patients. It is a hot and difficult point in the field of medical research. The etiology and pathogenesis of cognitive impairment are complex and diverse. Studies have shown that chronic persistent neuroinflammation plays a key role in its development. Microglia and Nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome are closely related to neuroinflammation and cognitive impairment. Regulation of microglia and NLRP3 inflammasome can reduce inflammatory factors, reduce amyloid β-protein (Aβ) deposition, regulate autophagy, maintain synaptic homeostasis, and reduce neuroinflammation. In turn, the role of prevention and treatment of cognitive impairment. Therefore, summarizing and discussing the mechanism of microglia, NLRP3 inflammasome and their interaction in cognitive impairment can provide some reference and basis for the in-depth study of the mechanism of cognitive impairment, clinical prevention and treatment of cognitive impairment, and the subsequent development of more efficient drugs.
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This study conducted a comprehensive assessment of the current state of health standards in China by systematically searching the National Health Commission's Health Standards website and various literature databases. By identifying key issues within the domain of health standards, this study subsequently presented targeted strategies and recommendations. These findings serve as a valuable reference for refining China's health standard system and developing policies related to health standards.

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Bone age is the most commonly used and effective indicator for understanding children's growth and development, and plays an important role in the diagnosis and efficacy evaluation of various growth and development disorders.Clinically, X-rays of the left hand and wrist are mostly taken for bone age assessment, but there is a certain radiation risk. Ultrasound can clearly display the epiphysis and secondary ossification center, and can conveniently perform multi-site scanning and dynamic measurement without radiation. In recent years, great progress has been made in the research and clinical application of bone age assessment using ultrasound. This article reviews the latest literature to discuss the value of musculoskeletal ultrasound and quantitative ultrasound in bone age assessment, and puts forward the problems in the study of ultrasound assessment of bone age and improve direction.

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Objective To sort out the rare disease drugs in the First Batch of Rare Disease Catalogue, and analyze the differences in the accessibility of drugs at home and abroad, improve and update the status of drug therapy for rare diseases in China, and provide reference for the management and research of drug therapy for rare diseases. Method Orphan drugs approved by the U.S. Food & Drug Administration (FDA) and the European Medicines Agency (EMA) for related indications for the diseases listed in the First Rare Diseases Catalogue were retrieved for reference. Besides, we extracted the varieties approved by the National Medical Products Administration (NMPA), searched the drug varieties approved for rare diseases in the indications of drug instructions, and sorted out the list of rare disease drugs. The accessibility of the above-mentioned drugs was analyzed. Results As of December 31, 2022, 116 rare disease drugs approved by U.S. FDA, EMA or NMPA and marketed in China covered 53 rare diseases. Among them, 74 drugs approved by U.S. FDA, covered 41 diseases. 39 drugs approved by the EMA, covered 27 diseases. 94 drugs approved by the NMPA, covered 38 diseases. Among 116 rare disease drugs, 59 had at least one drug dosage form with domestic approval number, covering 36 rare diseases; 64 drugs had at least one drug form included in the medical insurance and used for rare diseases, and 28 rare diseases were covered. Conclusions At present, 116 orphan drugs listed abroad or approved in Chinese drug specifications have been used for the treatment of diseases in the first Batch of Rare Diseases Catalogue. Compared with the release of the first batch of Rare Diseases Catalogue, the accessibility and the composition of domestic approval numbers of foreign orphan drugs accessibility increased, and the number of items included in the national medical insurance have been further improved.
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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). AI interventions used for SDM are currently in their infancy, with new challenges and opportunities. Therefore, this paper describes the application of AI in SDM, explores the problems and challenges of AI-based decision aid used for SDM, and proposes possible solutions, aiming to provide a guide for the development and implementation of AI-based decision aid.
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To further standardize the clinical diagnosis and treatment decisions of iodine refractory differentiated thyroid cancer (RAIR-DTC) in China, it is urgent to establish clinical diagnosis and treatment management guidelines based on evidence-based medical data to scientifically guide the diagnosis and treatment of RAIR-DTC. By referring to the World Health Organization Guidelines Development Manual and following the protocol of devising evidence-based guidelines, we will register and write the prospectus of "Guidelines for the Diagnosis, Treatment, and Management of Iodine Refractory Differentiated Thyroid Cancer". We will also devise and release official guidance documents. This guidelines prospectus mainly introduces the significance, purpose, target population, user population, guidelines formulation team members, collection and determination of clinical issues and outcome indicators, acquisition, evaluation, and synthesis of evidence, and generation of recommendations and other guidelines formulation methods and processes of the "Guidelines for the Diagnosis, Treatment, and Management of Iodine Refractory Differentiated Thyroid Cancer".
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Objective This study explores the essential factors during the consensus process in guideline development, aiming to improve the quality of the consensus process by providing methodological suggestions for enhancing standardization. Methods Semi-structured qualitative interviews were used to interview guideline leaders, working groups and consensus groups to explore the relevant factors affecting the credibility of the consensus and their views on the composition and process of the consensus method. Results The researchers interviewed 26 individuals. After summarization, 212 codes were deepened into five areas:establishment of a consensus group, patient participation, meeting moderator, preparation of consensus and the influencing factors of consensus. Summarized the three basic steps of constructing a consensus group and the 17 basic principles of the application of the consensus method. Conclusion In the future guideline development, it is recommended to increase the methodological training before the consensus process and the full participation of methodologists, encourage experts to treat differences reasonably, pay attention to the methodology and evidence materials. The process should involve openly disclosing the selection of consensus group members, increasing patient participation, and managing and reporting conflicts of interest to reduce bias and enhance transparency, reliability, and scientific rigor of consensus outcomes.
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Objective To investigate the predictive value of albumin-bilirubin (ALBI) score combined with liver function index and carcinoembryonic antigen (CEA) for liver metastasis of colorectal cancer. Methods The clinical data of patients with colorectal cancer who underwent surgical treatment in the Second Hospital of Lanzhou University from January 2016 to July 2021 and were followed up for 24 months were retrospectively analyzed. According to the follow-up results, the enrolled patients were divided into liver metastasis group and non-liver metastasis group, and were randomly divided into modeling group and validation group according to the ratio of 2:1. The risk factors of liver metastasis in patients with colorectal cancer were analyzed. Lasso-Logistic regression was used to construct the prediction model. Bootstrap method was used for internal verification. Receiver operating characteristic curve, calibration curve and clinical decision curve were used to evaluate the reliability of the prediction model. Finally, a nomogram was drawn to show the prediction results. Results A total of 195 patients who met the inclusion and exclusion criteria were enrolled, including 130 in the modeling group and 65 in the validation group. Through Lasso regression variable screening and Logistic regression analysis, the results showed that ALBI (OR=8.062,95% CI:2.545~25.540), alanine transaminase (ALT) (OR=1.037,95% CI:1.004~1.071) and CEA (OR=1.025,95% CI:1.008~1.043) were independent predictors of liver metastasis in colorectal cancer. The area under curve (AUC) of the combined prediction of liver metastasis of colorectal cancer in the modeling group was 0.921, the sensitivity was 78%, the specificity was 95%, the C-index was 0.921, the H-L fitting curve X2=0.851, P=0.654, and the slope of the calibration curve was close to 1, suggesting that the accuracy of the model was high, and the DCA curve showed that the model had good clinical application value. For the data of the modeling group, the Bootstrap method was used for internal verification of 1000 resamplings. The accuracy was 0.869, the kappa consistency was 0.709, and the AUC was 0.913. When ALBI, ALT and CEA were used to diagnose liver metastasis of colorectal cancer alone, the AUC of CEA was the largest (0.897), and the combination of the three had the highest efficacy in the diagnosis of liver metastasis of colorectal cancer. In the validation group, the AUC, sensitivity, specificity, Cindex and H-L curve of the combined prediction of liver metastasis of colorectal cancer were 0.918, 85%, 95.6%, 0.918, X2=0.586, P=0.746, respectively. Conclusion ALBI, ALT and CEA have certain predictive value for liver metastasis of colorectal cancer. The combined diagnosis of liver metastasis of colorectal cancer has high efficacy, and the risk prediction model constructed by them has a good predictive effect.
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Metabolic associated fatty liver disease (MAFLD) was renamed from the nonalcoholic fatty liver disease (NAFLD). At present, about the pathogenesis of MAFLD, people generally accept the "multiple strike" theory, which involves the interaction of genetic and environmental factors. These attacks include insulin resistance, lipid disorder, oxidative stress, intestinal microbiota, etc. However, there is no approved drug for MAFLD. Recent studies have found that vitamin D is involved in many metabolic processes, which may be involved in the development of MAFLD by influencing liver lipid metabolism, promoting insulin resistance and inflammatory response, participating in immune regulation, gene regulation and maintaining intestinal homeostasis. Therefore, this article summarizes the relationship between vitamin D and MAFLD, reveals the potential mechanism of vitamin D in the pathogenesis of MAFLD, and provides clinical ideas for the treatment of MAFLD.

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Objective To investigate the relationship between the thresholds of intraoperative facial nerve response and postoperative facial nerve function recovery in patients with Bell’s palsy. Methods Clinical data from Bell’s palsy patients who underwent facial nerve decompression surgery at Beijing Tiantan Hospital from October 2015 to October 2022 were collected. Patients who had intraoperative facial nerve monitoring with accurate recording of the facial nerve direct stimulation threshold and had at least 1 year of detailed follow-up were selected for analysis. Patients with postoperative facial nerve function recovery to grade I-II (HB grading) were defined as having good recovery, while those who recovered to grade III or higher were defined as having poor recovery. Patients were divided into two groups (A and B) according to facial nerve reaction excitability, with group A having a direct stimulation threshold of ≤1.5 mA and group B having a direct stimulation threshold of >1.5 mA or an increase in stimulation volume to 3mA, but no neural response waveform was recorded. The relationship between postoperative facial nerve function recovery and facial nerve direct stimulation threshold was compared. Results A total of 36 Bell’s palsy patients were included in this study and underwent facial nerve decompression surgery through the transmastoid-epitympanum approach within 1-3 months after onset. Of the 36 patients, 24 (66.7%) had good recovery and 12 (33.3%) had poor recovery. Only 20 (55.6%, 20/36) patients had facial nerve direct stimulation threshold recorded during the operation, and all were ≤1.5mA (0.1-1.5 mA). The reaction waveforms of 16 (44.4%, 16/36) patients could not be recorded even when facial nerve stimulation increased to 3mA. There was no significant difference in age, gender, lateral discourse, timing of surgery , and preoperative electroneurography (ENoG) in group A and group B, but the good recovery rate of patients in Group A was significantly higher than that in Group B, and the difference was statistically significant (P=0.009). Conclusion For patients with Bell’s palsy undergoing decompression surgery of the facial nerve, the intraoperative direct stimulation threshold of the facial nerve may have some predictive value for postoperative facial nerve function recovery.
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The development of clinical practice guidelines involves a series of evidencebased decision-making processes, of which the formation of recommendations being a particularly challenging aspect. It demands decision-makers to have a thorough and precise understanding of the evidence, weigh the potential benefits and risks of interventions, and make value 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 previous studies, this paper proposes a visualization tool, Vitruvian plot, for summarizing evidence and provides illustrative examples to demonstrate its usage and application effects, aiming to offer valuable guidance for researchers.
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The classical Child-Pugh classification and the Model for End-Stage Liver Disease (MELD) are now widely used clinically for preoperative assessment of liver failure and prognosis in patients with hepatocellular carcinoma (HCC) treated with radical hepatectomy. However, there are limitations in the conditions of use of both due to factors such as albumin, ascites, and blood creatinine. Review the relevant literature at home and abroad about liver failure and prognosis of HCC patients after radical Hepatectomy: albumin bilirubin score (ALBI), platelet albumin bilirubin score (PALBI), Glasgow Prognostic Score (GPS) and new predictive models have good application prospects in evaluating liver failure and prognosis of HCC patients after Hepatectomy. Combined with the literature, the study of the classic, new liver function scores and new predictive models after Hepatectomy in HCC patients shows that the PALBI score has good application value at present.
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Objective This study aimed to investigate the understanding of palliative care and experience of palliative sedation for end-stage patients in Chinese anesthesiologists. Methods From October to December 2021, a national cross-sectional survey was conducted among anesthesiologists in China distributed by the Chinese Society of Anesthesiology, Chinese Medical Association with convenient sampling. The questionnaire in this study included general information, working experience, familiarity with palliative care, feelings with end-stage cases, experience in sedation for critical/end-stage patients and choice of medication. Results A total of 2536 anesthesiologists from 29 provinces in China completed valid questionnaires. 572 (22.6%, 572/2536) reported that they were familiar with palliative medicine. Anesthesiologists who had experience in critical/end-stage patients care, pain management, and whose hospitals set up with institutional palliative care team reported more familiarity with palliative care. Over 40% of anesthesiologists felt powerless, helpless, and undecisive when facing end-stage patients. Anesthesiologists with knowledge of palliative care were more likely to show confidence in their management of critical/end-stage patients (9.8% vs 4.4%, P = 0.001). 734 anesthesiologists had experience of conducting sedation in end-stage patients, among whom 151 anesthesiologists (20.6%, 151/734) improperly used opioids as the only medication in sedation protocol. Conclusion The understanding of palliative care and palliative sedation medication choice among anesthesiologists in China was still very limited. Development of palliative care team, education and training on palliative care may help to build the confidence of anesthesiologists when facing critical/end-stage patients and to improve the quality of care in end-stage patients.
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Objective This study aims to systematically assess the applicability of the clinical practice guidelines (CPGs) integrating Chinese and Western medicine, thereby providing a reference point for enhancing their future usability. Methods PubMed, Web of Science, Embase, SinoMed, WanFang Data, and CNKI databases were searched for guidelines for integration of Chinese and Western medicine, supplemented by searches of the Dangdang, Chinese Medical Association, Chinese Medicine Administration, MedSci websites, Website of China Association of Chinese Medicine, medlive, Chinese Association of Integrative Medicine and World Federation of Traditional Chinese Medicine Societies from inception to December 31, 2022. Four reviewers independently evaluated the implementability of clinical practice guidelines by using “Clinical Practice Guideline (CPG) implementation evaluation tool”. Results A total of 61 integrative Chinese and Western Medicine guidelines were included. Of the guidelines assessed, 9 guidelines (14.75%) exhibited strong implementability, 39 (63.93%) demonstrated average implementability, and 12 (19.67%) demonstrated poor implementability. Among the 5 domains, the dimensions of "accessibility" and "implementability" were found to be of high quality, while "communication", "ease of identification" and "applicability" were relatively poor. Notably, compared to guidelines published before 2016, those published between 2017-2022 showed improvements in the areas of “identification” and “application”. Conclusion The implementabilityof the existing clinical practice guidelines of the integrative Chinese and Western Medicine is average and needs to be improved. In the future, emphasis should be placed on the integration of medical education and research, increasing the publicity of the guidelines, strengthening the application of the guidelines by clinicians, enhancing continuing medical education and training, presenting recommendations in a more concise form, and improving the implementability of the integrative Chinese and Western Medicine guideline.
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The development of rapid, living guidelines aims to keep the recommendations in the guideline up-to-date timely. Compared with the conventional guideline, the rapid, living guideline can make better use of the existing evidence and apply and transform the evidence in a timely and rapid manner. Therefore, this paper introduces the advantages and usage of rapid, living guidelines, the development process and existing challenges, and provides some reflections on rapid, living guidelines, in order to provide reference for domestic guideline development organizations and scholars.
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Health equity can narrow the health gap between different groups and enable citizens to enjoy fair health services. Clinical practice guideline makers pay more and more attention to the consideration of health equity, and make some exploration and application in the corresponding guidelines. However, currently, there is little structured and systematic consideration of health equity in the process of clinical practice guideline development, and the guidance for the guideline is limited. This paper aims to put forward methodological suggestions for in-depth consideration of health equity in the key links of clinical practice guideline development, in order to provide reference for guideline developers.
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Micro RNAs are involved in the pathophysiological processes of many diseases. Stably present in tissues, cells and blood, they can be used as potential markers of many diseases. They play an important role in the pathogenesis of liver fibrosis caused by various chronic liver diseases. It has been shown that miRNAs can participate in the process of liver fibrosis by targeting the down-regulation of liver fibrosis-related gene expression. In this review, we discuss the research progress on the role of miRNAs in liver fibrosis, with the hope of providing reference for diagnosis and molecularly targeted treatment.

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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 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 is a strong support for the clinical guideline recommendations and evidence-based health decisionmaking 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 traditional Chinese medicine: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and to provide guidance for the advancement of the evidencebased medicine framework in traditional Chinese medicine.

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Evidence synthesis is the synthesis of existing research using a systematic and appropriate method. There are various types of evidence synthesis used nowadays. However, correctly choosing and applying the best evidence synthesis method is crucial that researchers , policymakers , and stakeholders pay attention to. Thus , based on summarizing the current situation , progress , and classification of evidence synthesis methods, we introduced the definition and characteristics of common evidence synthesis methods and problems in the application of evidence synthesis methods, and put forward thoughts and suggestions for the problems faced by the application of evidence synthesis methods.
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Professional competence is defined as the habitual and judicious use of communication, knowledge, technical skills, clinical reasoning, emotions, values, and reflection in daily practice. This article reviews the assessment methods and dimensions of professional competence, and the research progress of professional competence in China, aiming to provide a reference for Chinese medical education and physician career development. At present, many studies focused on the application of professional competence to medical education and position evaluation in China. Theoretical and empirical research is still needed, which may contribute to Chinese medical education and physician career development.