To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines.

OBJECTIVE To evaluate the quality of evidence in the systematic evaluation/meta-analysis of traditional Chinese medicine （TCM） for diabetes retinopathy （DR） based on the GRADE system. METHODS Chinese and English databases were searched to obtain the relevant studies of systematic evaluation/meta-analysis of traditional Chinese medicine in the treatment of DR. The search time was from the establishment of each database to January 13th， 2024. According to the inclusion and exclusion criteria， literature screening was conducted. After extracting relevant information from the included literature， the GRADE system was used to evaluate the quality level of the evidence body in the included studies， and the evidence of the outcome indicators was integrated and summarized. RESULTS A total of 51 studies were ultimately included， encompassing 135 outcome indexes. Among these， 19 indicators （14.1%） were of high quality， 87 （64.4%） were of medium quality， 26 （19.3%） were of low quality， and 3 （2.2%） were of very low quality. Overall， the evidence quality of the outcome indicators in the included studies was medium to low quality. The integrated results of evidence on the efficacy of outcome indexes showed that compared with conventional Western medicine， calcium dobesilate or placebo， TCM had significant advantages in improving overall efficacy， reducing bleeding spot area， reducing macular foveal thickness， and increasing visual improvement rate. In addition，the combination of TCM and conventional Western medicine or calcium dobesilate was significantly more effective than using conventional Western medicine or calcium dobesilate alone. CONCLUSIONS The overall quality of the evidence in the systematic evaluation/meta-analysis study on the treatment of DR with TCM is medium to low quality. Based on existing research findings， TCM demonstrates good clinical efficacy in the treatment of DR.

  Objective  To analyze the current status of the development of adaptation guidelines in China, as well as their methodological quality and the reporting quality, in order to provide reference for the development of adaptation guidelines.  Methods  We searched and collected adaptation guidelines led by Chinese researchers or institutions from 2015 to 2023 from four electronic databases, China National Knowledge Infrastructure, WanFang Data Knowledge Service Platform, SinoMed and PubMed, extracted the basic information of the adapted guidelines, and assessed their methodological quality and reporting quality using the Appraisal of Guidelines for REsearch and Evaluation (AGREE) Ⅱ and RIGHT-Ad@pt tools.  Results  A total of 14 adaptation guidelines were included, mainly focusing on nursing (42.9%, 6/14), with the most frequently used adaptation method of ADAPTE (71.4%, 10/14), and with reference to pre-existing guidelines mainly from the United States, the United Kingdom, and international organizations. Assessment by the AGREE Ⅱ tool showed that the average methodological quality score of the adapted guidelines was 36.6%. The scores were relatively high in the domains of clarity of expression and rigor of formulation (44.4% and 54.9%), and lowest in the domain of applicability (15.3%). The results of the RIGHT-Ad@pt tool showed that the reporting quality of the adaptation guidelines was relatively good, with the highest reporting rate of 91.2% and the lowest of 35.3%, and the reporting rates of seven articles were higher than 70%.  Conclusions  Adaptation guidelines in China are still in their infancy, with a relatively small number and mainly focusing on the nursing field. The most commonly used adaptation method is the ADAPTE method. The methodological quality and reporting quality of adaptation guidelines need to be further improved, and more research should be conducted on the specific conditions and timing of adaptation guidelines development.

With the development of the Scientific, Transparent and Applicable Rankings tool for clinical practice guidelines(STAR), the publication of evaluation and ranking for scientificity, transparency and applicability of Chinese guidelines and consensus published in the medical journals in 2021and 2022, as well as the publication of the STAR evaluation and ranking for some specialities, the STAR evaluation and ranking has received widespread attention in the medical community. In order to further enhance its scientificity and transparency, Methodology and Technology Specialization Committee of the STAR Working Group presents this article to introduce sample identification and speciality assignment in the evaluation and ranking process.

National health standards involve all kinds of technical requirements formulated and numbered in accordance with the procedures and formats stipulated in the standardisation system for the implementation of national health and hygiene laws, regulations and policies, and the protection of human health. The establishment of health standards in China should align with our legal framework, including laws, regulations, departmental rules, and health and hygiene policies. During the development of these standards, a comprehensive approach is advocated, encompassing in-depth investigations, rigorous demonstrations, and extensive stakeholder engagement. However, the process of standard formulation may suffer from insufficient research evidence. The evidence-based concept emphasizes the significance of evidence. Therefore, integrating evidence-based concept into the process of developing health standards can enhance the quality and scientific basis of these standards. This article systematically elucidates the current status and development process of health standards in China, explores the necessity and feasibility of incorporating evidence-based concept into the development of these standards, analyzes the challenges and opportunities, and presents reflections and suggestions.

The essence of clinical practice guidelines lies in their recommendations. It is common to find strong recommendations supported by low-quality evidence in current published guidelines. There is a typical misunderstanding among medical professionals that without high-quality evidence, it is impossible to develop high-quality guidelines or only expert consensus can be developed. Based on the GRADE approach, this paper explains the concept and clinical significance of low-quality evidence, and introduces the methods for formulating recommendations based on low-quality evidence in guidelines, with the aim to provide reference for guideline developers and users in China.

Expert evidence, expert opinion, and expert consensus are frequently mentioned and used in the process of guideline development. However, due to the lack of clear definitions and standards, there is confusion and misuse among the three in practice. This paper clarifies the meanings, current status, differences, and connections of expert evidence, expert opinion, and expert consensus in the development of guidelines, aiming to provide a reference for guideline developers in China.

Generative artificial intelligence (GAI) refers to AI technology capable of generating new content such as text, images, or audio from training data. GAI tools not only demonstrate rapid and efficient potential in literature screening, data extraction, and literature appraisal in systematic reviews, but can also be used for guideline evaluation and dissemination, enhancing the readability and promotion efficiency of guidelines. However, the accuracy of content generated by GAI tools, the rationality of cited evidence, the level of evidence, and the reliability of data still need verification. Additionally, data privacy protection and ethical issues are challenges that need to be addressed. This article aims to overview the current status of GAI tools in the formulation, evaluation, dissemination, and implementation of guidelines, explore the feasibility and new models of GAI tools in the field of guidelines, and improve the efficiency and quality of guideline formulation to better serve guideline developers and users.

Ferroptosis is a kind of programmed cell death, involves multi-molecular and multi-signaling pathways, and the core processes is iron overload and lipid peroxidation. It affects cancer, neurological disease, cardiovascular disease, digestive system disease, and many other diseases. While, ischemia-reperfusion injury is an extremely complex pathological process, including ischemia-reperfusion injury of the heart, brain, liver and kidney, etc., which often occurs in shock, organ surgery and organ transplantation, seriously affecting human health, and there is no effective radical treatment. However, ferroptosis is closely related to ischemia-reperfusion injury so that it is possible to find the prevention and treatment measures of ischemia-reperfusion injury by exploring the internal relationship between them. Therefore, the author tries to summarize the signaling pathways of ferroptosis, and explores the relationship between ferroptosis and ischemia-reperfusion injury of heart, brain, liver and kidney by moderating the ferroptosis targets properly to find the effective ways to treat cancer, improve inflammation and relieve other diseases.

Objective To evaluate the scientificity,transparency and applicability of Chinese guidelines and expert consensuses on nursing published in 2022,in order to improve the quality of guidelines and consensuses.Methods Databases including Medline,Embase,Web of Science,CBM,CNKI,WanFang database,Chinese Medical Journal,and related websites were electronically searched,as well as China Hong Kong,Macao and Taiwan medical journals,to collect Chinese guidelines and expert consensuses on nursing from January to December 2022.STAR tool was used to evaluate the quality of each guidelines and consensuses by 3 assessors independently.Total score,scoring rate of each domain and item were adopted to analyze the outcomes.Results A total of 3 guidelines and 33 expert consensuses were included.The total guidelines and expert consensuses STAR score(33.5±14.3).The quality of guidelines and consensuses was low.The quality of guidelines was moderate with average score of 55.1,and the quality of consensuses was low with average score of 31.5.The included guidelines and consensuses had a highest score rate(52.4％)in the domain of recommendation.Among 39 items of STAR tool,the top 4 items including listing participants and institutions,explaining additional instructions for implementation,describing consensus method,and listing references for recommendations had a high score rate of 100％,83.3％,77.8％,75.0％respectively.However,the items of registration,providing registration information,protocols being searched on public platforms and explaining the role of funding had a low score rate,urgent need for attention and upgrading.Conclusion The overall quality of the Chinese guidelines and expert consensuses on nursing published in 2022 was low.As a medical and nursing practice guidance document,the quality of guidelines and expert consensuses should be improved by encouraging registration,strengthening management of interest conflict,enhancing the rigor of guideline developing process,and expanding the dissemination.