To introduce and analyze guideline terminology related to clinical question formulation, evidence retrieval and appraisal, and recommendation development.

Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry (LC-MS) remains a formidable challenge. Herein, a metabolic reaction-based molecular networking (MRMN) strategy is introduced, which enables the "one-pot" discovery of prototype drugs and their metabolites. MRMN constructs networks by matching metabolic reactions and evaluating MS² spectral similarity, incorporating innovations and improvements in feature degradation of MS² spectra, exclusion of endogenous interference, and recognition of redundant nodes. A minimum 75% correlation between structural similarity and MS² similarity of neighboring metabolites was ensured, mitigating false negatives due to spectral feature degradation. At least 79% of nodes, 49% of edges, and 97% of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking (GNPS) platform. Furthermore, an approach of redundant ions identification was refined, achieving a 10%-40% recognition rate across different samples. The effectiveness of MRMN was validated through a single compound, plant extract, and mixtures of multiple plant extracts. Notably, MRMN is freely accessible online at https://yaolab.network, broadening its applications.

Objective:To analyze the screening results of the Urban Cancer Early Diagnosis and Treatment Project in Qinghai Province from 2019 to 2024.Methods:A summary and statistical analysis were conducted on six years of screening data from the Urban Cancer Early Dia-gnosis and Treatment Program in Qinghai Province,with the high-risk rate,screening rate,and detection rate calculated separately for each type of cancer.Results:From 2019 to 2024,56,882 high-risk individuals were identified.The high-risk rates for lung,colorectal,breast,up-per gastrointestinal,and liver cancer were 22.02%,21.57%,14.23%,13.52%,and 6.10%,respectively.Overall,13,592 individuals com-pleted clinical screening,with detection rates of 0.32%for lung cancer,0.41%for liver cancer,0.08%for precancerous gastric lesions,3.63%for precancerous colorectal lesions,0.08%for esophageal cancer,0.16%for gastric cancer,and 0.14%for colorectal cancer.Conclusions:The implementation of the Urban Cancer Early Diagnosis and Treatment Program in Qinghai Province aids in the early detection of cancer,improves early diagnosis and survival rates,and reduces mortality.Nevertheless,due to low public awareness and limited participation,en-hancements in program management and public outreach are required.

Objective:To analyze the screening results of the Urban Cancer Early Diagnosis and Treatment Project in Qinghai Province from 2019 to 2024.Methods:A summary and statistical analysis were conducted on six years of screening data from the Urban Cancer Early Dia-gnosis and Treatment Program in Qinghai Province,with the high-risk rate,screening rate,and detection rate calculated separately for each type of cancer.Results:From 2019 to 2024,56,882 high-risk individuals were identified.The high-risk rates for lung,colorectal,breast,up-per gastrointestinal,and liver cancer were 22.02%,21.57%,14.23%,13.52%,and 6.10%,respectively.Overall,13,592 individuals com-pleted clinical screening,with detection rates of 0.32%for lung cancer,0.41%for liver cancer,0.08%for precancerous gastric lesions,3.63%for precancerous colorectal lesions,0.08%for esophageal cancer,0.16%for gastric cancer,and 0.14%for colorectal cancer.Conclusions:The implementation of the Urban Cancer Early Diagnosis and Treatment Program in Qinghai Province aids in the early detection of cancer,improves early diagnosis and survival rates,and reduces mortality.Nevertheless,due to low public awareness and limited participation,en-hancements in program management and public outreach are required.

We report a 30-year-old woman who presented with intermittent gross hematuria and left flank pain，and CT revealed a left staghorn stones. The initial percutaneous nephrolithotomy（PCNL）left a 6 mm fragment，and both stone and urine cultures yielded extended-spectrum β-lactamase（ESBL）-producing Escherichia coli. Seven months later，the stone increased to 6 cm and urine culture revealed Proteus mirabilis. Endoscopic combined intrarenal surgery（ECIRS）achieved complete clearance. At 6-month follow-up，the patient remained asymptomatic，culture-negative，and stone-free. This case highlights that small residual fragments after PCNL may rapidly enlarge with secondary urease-producing infection，underscoring the need for early re-intervention and standard follow-up.

We report a 30-year-old woman who presented with intermittent gross hematuria and left flank pain，and CT revealed a left staghorn stones. The initial percutaneous nephrolithotomy（PCNL）left a 6 mm fragment，and both stone and urine cultures yielded extended-spectrum β-lactamase（ESBL）-producing Escherichia coli. Seven months later，the stone increased to 6 cm and urine culture revealed Proteus mirabilis. Endoscopic combined intrarenal surgery（ECIRS）achieved complete clearance. At 6-month follow-up，the patient remained asymptomatic，culture-negative，and stone-free. This case highlights that small residual fragments after PCNL may rapidly enlarge with secondary urease-producing infection，underscoring the need for early re-intervention and standard follow-up.

Cancer， one of the deadliest diseases caused by cells escaping homeostasis， abnormal proliferation， and abnormal differentiation， is fast becoming one of the most burdensome diseases of this century. With decades of human research and cognitive changes in cancer， cancer treatment is also developing rapidly， but there is still a lack of effective treatment and countermeasures. Especially， the search for safe， efficient， and non-toxic drugs has become a long-term goal in the field of cancer. Saponins extracted and separated from traditional Chinese medicine can improve cancer through various pathways and have almost no toxic side effects. Therefore， the research on the anti-cancer effect of saponins is heating up. It is found that saponins play anti-tumor roles by inhibiting proliferation， metastasis， and angiogenesis of cancer cells， promoting apoptosis of cancer cells， inducing autophagy of tumor cells， and regulating miRNA expression and immune functions. Chinese herbal medicine saponins can regulate secretory glycoprotein /β-catenin （Wnt/β-catenin）， adenylate activated protein kinase （AMPK）， nuclear transcription factor-κB （NF-κB）， mitogen-activated protein kinase （MAPK）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Janus kinase/activator of signal transduction and transcription 3 （JAK/ STAT3）， hypoxia-inducible factor-1α （HIF-1α）， Toll-like receptor （TLR）， and other related signaling pathways to get involved in the proliferation， metastasis， angiogenesis， apoptosis， autophagy， and other processes of cancer cells， thus interfering with the progression of cancer. Therefore， the focus of this review is to update the discovery and evaluation of Chinese herbal medicine saponins with anti-cancer properties， clarify their mechanism of action， including the progress of related signaling pathways， and deepen the understanding of the anti-cancer function of Chinese herbal medicine saponins， so as to provide a new perspective and direction for the prevention and treatment of tumors by traditional Chinese medicine and better promote the development and utilization of resources.

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.

Objective To investigate the risk factors associated with necrosis in interstitial oedematous pancreatitis(IOP)and to develop a nomogram model for the early prediction of necrosis in IOP.Methods A retrospective analysis was conducted on 306 patients diagnosed with IOP.Patients were stratified into necrosis and edema groups based on the presence or absence of pancreatic necrosis through follow-up CT-enhanced examinations.Logistic regression analysis was employed to identify independent predictive factors for necrosis in IOP.Subsequently,a nomogram model was developed,and its discriminative ability,accuracy,and practicality were assessed through receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Balthazar computed tomography severity index(CTSI),gender,lactate dehydrogenase(LDH),and triglyceride(TG)were finally identified as four independent predictors for constructing the nomogram model.The area under the curve(AUC)of the nomogram model was 0.800[95％confidence interval(CI)0.731-0.869].The calibration curve indicated good consistency between the predicted probabil-ity and the actual probability of necrosis in IOP(P=0.737).DCA suggested high practicality of the nomogram model within the threshold probability range of 3％to 66％and 75％to 96％.Conclusion The nomogram model based on Balthazar CTSI,gender,LDH,and TG demonstrates good efficacy in early prediction of necrosis in IOP.