It is estimated that approximately seven million people worldwide are affected by inflammatory bowel disease(IBD),causing a huge burden on healthcare systems and society.In the occurrence,progression,and treatment of IBD,the intestinal microbiota and its key metabolic product,bile acids,play a crucial role.The intestinal microbiota not only participates in the biotransformation of bile acids,enriching the diversity of bile acids,but also regulates their synthesis and transport through the farnesoid X receptor(FXR).Meanwhile,bile acids contribute to regulating the structure and function of the intestinal microbiota by supporting microbial diversity,exerting direct toxicity,participating in indirect antimicrobial pathways,and influencing microbial metabolic capabilities.Furthermore,under normal physiological conditions,intestinal microbiota-derived bile acids facilitate the repair process of the intestinal epithelial barrier.They also promote the balance of the immune system by modulating the functions of various immune cells including helper T(Th)cells 17,regulatory T(Treg)cells,CD8+T cells and natural killer T(NKT)cells,thereby slowing down the development of IBD.This article focuses on exploring the role of intestinal microbiota and bile acids in the onset and progression of IBD,and investigating new effective treatment strategies by targeting intestinal microbiota and bile acids,such as bile acid receptor modulators,probiotics,prebiotics,fecal microbiota transplantation(FMT),and phage therapy.

Objective To investigate the imaging features of papillary tumor of the pineal region(PTPR).Methods The ima-ging data of 10 patients with PTPR confirmed by operation and pathology were analyzed retrospectively.Results All lesions were located in the posterior commissure area of the posterior inferior wall of the third ventricle.All lesions were heterogeneously hyper-intensity on T1WI and hyperintensity on T2WI.Multiple small cysts or microcapsules signal intensity were observed within the tumor.Of all 10 lesions,there were 9 lesions with high signal intensity within or at the edge of the lesion on T1WI.All lesions showed restricted diffusion.All 10 cases showed uneven and obvious enhancement patterns.Midbrain tectum was compressed and moved backward in 5 cases,moved downward in 2 cases,moved forward and downward in 1 case,and was not clearly displayed in other 2 cases.One case was disseminated and 1 case was hyperperfusion.There were all 10 cases with obstructive hydrocephalus and equal or slightly high density on CT imaging,and 4 cases with calcification.Conclusion Imaging characteristics of PTPR included the lesions centered on the posterior commissure,compressed tectum with backward and downward,multiple small cysts or micro-capsules components within the tumor,hyperintensity on T1WI,and uneven and obvious enhancement patterns.

  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.

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.

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.

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.

Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.

Breast milk is the best source of nutrition for infants, and the microbial communities contained in breast milk can regulate the colonization of bacteria in the intestines of newborns and enhance their immunity.As microbial culture, isolation and identification techniques continue to evolve, more and more breast-milk-derived probiotics are being discovered.Common probiotics in breast milk include Lactobacillus, Bifidobacteria, Philococcus, Streptococcus thermophilus, etc.A large number of studies have proved that breast milk-derived probiotics have a certain role in the treatment of infantile colic, functional constipation, diabetes, mastitis and other diseases, and the natural source of breast milk probiotics, adapted to the milk matrix and other characteristics make it stand out from a group of probiotics.The discovery of probiotics isolated from breast milk and the exploration of their probiotic functions can not only provide an experimental basis for the addition of breast milk-derived probiotics to infant formula, but also provide new prospects for the treatment of various diseases.