OBJECTIVE To assess the scientific rigor， clarity and feasibility of the recommendations of the Guidelines for Evidence-based Use of Biological Agents for the Clinical Treatment of Osteoporosis （hereinafter referred to as the Guideline） through external review， in order to further revise and improve the Guideline recommendations. METHODS This study employed a cross-sectional survey research design， a convenience sampling method was adopted to select frontline medical workers in the field of osteoporosis （including clinical doctors， clinical pharmacists， and nurses） as well as patients or their family members. External review was conducted through a combination of closed-ended and open-ended electronic questionnaires to get feedback from them on the appreciation，clarity and feasibility of the 32 preliminary recommendations in the Guideline. RESULTS A total of 90 external review subjects from 15 hospitals were collected， including 45 clinical doctors， 15 clinical pharmacists， 15 nurses and 15 patients or their family members. The overall appreciation degree of recommendations was 99.38%， the overall clarity degree of recommendations was 98.92%， and the overall feasibility degree of recommendations was 99.65%. At the same time， 111 subjective suggestions were collected， which provided an important reference for the further improvement of the Guideline recommendations. Based on the above feedback， the Guideline steering committee and core expert group revised the wording of 12 draft recommendations without deletion， and finally determined 32 recommendations. CONCLUSIONS The external review provides an important basis for the final formation of the Guideline， further improves the scientific rigor， clarity and feasibility of the recommendations， and ensures the standardization， practicality and implementability of the Guideline.

Diagnostic criteria, as a critical component of clinical practice guidelines, play a direct role in guiding clinicians' diagnostic and treatment decisions. Although China has increasingly emphasized the development and updating of clinical guidelines in recent years, research focusing on the diagnostic criteria within these guidelines remains limited. This paper aims to explore the types of diagnostic criteria, the issues they present, and the processes involved in their formulation. Based on this analysis, suggestions are proposed to improve the recommendation and application of diagnostic criteria in Chinese guidelines.

  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.

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.

Diagnostic criteria, as a critical component of clinical practice guidelines, play a direct role in guiding clinicians' diagnostic and treatment decisions. Although China has increasingly emphasized the development and updating of clinical guidelines in recent years, research focusing on the diagnostic criteria within these guidelines remains limited. This paper aims to explore the types of diagnostic criteria, the issues they present, and the processes involved in their formulation. Based on this analysis, suggestions are proposed to improve the recommendation and application of diagnostic criteria in Chinese guidelines.

BACKGROUND: This study aimed to develop a comprehensive instrument for evaluating and ranking clinical practice guidelines, named Scientific, Transparent and Applicable Rankings tool (STAR), and test its reliability, validity, and usability. METHODS: This study set up a multidisciplinary working group including guideline methodologists, statisticians, journal editors, clinicians, and other experts. Scoping review, Delphi methods, and hierarchical analysis were used to develop the STAR tool. We evaluated the instrument's intrinsic and interrater reliability, content and criterion validity, and usability. RESULTS: STAR contained 39 items grouped into 11 domains. The mean intrinsic reliability of the domains, indicated by Cronbach's α coefficient, was 0.588 (95% confidence interval [CI]: 0.414, 0.762). Interrater reliability as assessed with Cohen's kappa coefficient was 0.774 (95% CI: 0.740, 0.807) for methodological evaluators and 0.618 (95% CI: 0.587, 0.648) for clinical evaluators. The overall content validity index was 0.905. Pearson's r correlation for criterion validity was 0.885 (95% CI: 0.804, 0.932). The mean usability score of the items was 4.6 and the median time spent to evaluate each guideline was 20 min. CONCLUSION The instrument performed well in terms of reliability, validity, and efficiency, and can be used for comprehensively evaluating and ranking guidelines.
Reproducibility of Results ; Surveys and Questionnaires ; Practice Guidelines as Topic ; Humans

In order to further standardize the diagnosis and treatment of atopic dermatitis by health-care professionals, as well as to enhance the awareness of atopic dermatitis among patients and promote doctor-patient communication, Chinese Society of Dermatology and China Dermatologist Association jointly initiated the development of guidelines on the diagnosis and treatment of atopic dermatitis (specialist version, general practitioner version and patient version). The development working group had planned the development process of the 3 versions of guidelines with reference to relevant development manuals and methodological articles. It is also intended to expound the details of registration, working group establishment, clinical question collection, evidence search and grading, recommendation formation and consensus through this protocol, aiming to enhance the transparency of guideline development.

Objective To analyze systematically the existing classification criteria and assessment tools for osteoarthritis (OA).Methods Comprehensively searched and screened the available classification criteria and assessment tools reported in OA guidelines,textbooks,including secondary and original researchs.We collected and summarized the extracted data with the methods of scoping review and also used Excel software for qualitative analysis.Results A total of 63 OA guidelines,1 textbook,239 secondary or original researches,160 supplementary records were retrieved.The 5 classification criteria and 15 systematic reviews of assessment tools (855 assessment tools) were finally included.Conclusion The existing classification criteria lack a rigorous and transparent development process,and they are also too complicate to guide clinical treatment.We suggest that the development and improvement of OA classification criteria should be linked with the streamlined assessment tools,and conduct trials to test in clinical practice.