1.STAR Guideline Terminology (I): Planning and Launching
Zhewei LI ; Qianling SHI ; Hui LIU ; Xufei LUO ; Zijun WANG ; Jinhui TIAN ; Long GE ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(1):216-223
To develop a guideline terminology system and promote its standardization, thereby enhancing medical staff's accurate understanding and correct application of guidelines. A systematic search was conducted for guideline development manuals and method ological literature (as of October 25, 2024). After screening, relevant terms from the guideline planning and launching stages were extracted and standardized. The term list and definitions were finalized through discussion and evaluation at a consensus conference. A total of 36 guideline manuals and 14 method ological articles were included, and 27 core terms were identified. The standardization of guideline terminology is essential for improving guideline quality, facilitating interdisciplinary communication, and enhancing other related aspects. It is recommended that efforts to advance the standardization and continuous updating of the terminology system should be prioritized in the future to support the high-quality development of guidelines.
2.STAR Guideline Terminology(Ⅱ): Clinical Question Formulation, Evidence Retrieval and Appraisal, and Recommendation Development
Di ZHU ; Haodong LI ; Zijun WANG ; Qianling SHI ; Hui LIU ; Yishan QIN ; Yuanyuan YAO ; Zhewei LI ; Hongfeng HE ; Jinhui TIAN ; Long GE ; Yaolong CHEN ;
Medical Journal of Peking Union Medical College Hospital 2025;16(3):756-764
To introduce and analyze guideline terminology related to clinical question formulation, evidence retrieval and appraisal, and recommendation development. A systematic search was conducted in guideline development manuals and relevant methodological literature, covering publications up to October 25, 2024. Terminology related to the three aforementioned stages of related to guideline development was extracted from the included literature, standardized, and refined through consensus meetings to finalize a comprehensive terminology list and definitions. A total of 30 guideline development manuals and 15 methodological articles were included, and 23 core terms were identified. It is recommended to develop a standardized and scientifically sound guideline terminology system with unified naming, clear definitions, and alignment with the linguistic environment and usage habits in China. At the same time, it is essential to strengthen terminology training for both guideline developers and users based on this system, in order to deepen their correct understanding and proper application of guideline terminology.
3.Determination of Eight Lignans in Schisandrae Sphenantherae Fructus on the Market from Different Habitats by UPLC-MS/MS
Lianhao GAO ; Hongwei LI ; Junling WANG ; Xiuping LI ; Zhewei FANG ; Qian XIONG ; Hongxia LIU ; Jinsi YANG ; Rong MA ; Mengxian LI
Chinese Journal of Modern Applied Pharmacy 2024;41(4):520-523
OBJECTIVE
To compare the contents of schizandrin A, schizandrin B, schizandrin C, schisandrol A, schisandrol B, schisantherin A, anwuligan, and schisanhenol in Schisandrae Sphenantherae Fructus on market from 12 habitats.
METHODS
The samples were pre-treated by 96-well fitration plates. The assay was performed on ACE EXCEL 1.7 C18-AMIDE(100 mm×2.1 mm, 1.7 μm) column with 0.1% formic acid-water(A) and methanol(B), gradient elution, flow speed was 0.4 mL·min–1. Ion source was electric spray ion source, positive ion monitoring mode, multireaction monitoring mode for quantitative analysis. Linear, instrument precision, stability, repeatability, average recovery were investigated.
RESULTS
The content of schisantherin A in 10 of 12 producing areas reached the standard of ≥0.2% of Schisandrae Sphenantherae Fructus in 2020 Edition of Chinese Pharmacopoeia.
CONCLUSION
UHPLC-MS/MS is suitable for simultaneous determination of multiple components in Schisandrae Sphenantherae Fructus. The Schisandrae Sphenantherae Fructus in the market basically meet the national legal standards.
4.Determination of phosphorus content in calcium hydrogen phosphate tablets by 31P-qNMR
Zhewei XIA ; Yuanye ZENG ; Haifei ZHU ; Yu LI ; Xiaofei CHEN
Journal of Pharmaceutical Practice and Service 2024;42(9):399-401,406
Objective To establish a high-precision and high-specificity quantitative nuclear magnetic resonance phosphorus spectrometry method(31P-qNMR)for detecting the phosphorus content in calcium hydrogen phosphate chewable tablets.Methods Hexamethyl phosphoramide was used as an internal standard,phosphorus spectrum data of calcium hydrogen phosphate chewable tablets solution was collected.The linear relationship of calcium hydrogen phosphate within the concentration range of 1.0 to 9.0 mg/ml was studied,and sample recovery rate and repeatability experiments were conducted.Results Calcium hydrogen phosphate and the internal standard demonstrated a good linear relationship within the concentration range of 1.0 to 9.0 mg/ml,with a regression equation A=0.004 3+0.183 6C.The recovery rates for low,medium,and high concentrations were 98.0%,98.1%,and 98.4%,respectively,with relative standard deviations(RSD)of 0.31%,0.68%,and 0.62%,respectively(n=9).The average content of calcium hydrogen phosphate in the chewable tablets was determined to be 98.1%.Conclusion This study successfully established a high-precision and highly specific method for quantifying the content of calcium hydrogen phosphate in chewable tablets,which did not require a self-reference substance,was simple in sample preparation,and had a fast detection speed.The method could provide a new technical support for the quality control of phosphorus-containing drugs.
5.Analysis of the Current Status of China's Adaptation Guidelines
Ling WANG ; Yaxuan REN ; Xufei LUO ; Di ZHU ; Zhewei LI ; Ye WANG ; Bingyi WANG ; Huayu ZHANG ; Shu YANG ; Yaolong CHEN
Medical Journal of Peking Union Medical College Hospital 2024;15(1):192-201
6.Management and Development of Health-related Standards in Nations and Organizations: An Evidence-based Review
Hongfeng HE ; Qiannan TIAN ; Qi ZHOU ; Junxian ZHAO ; Renfeng SU ; Zhewei LI ; Hui LIU ; Nan YANG ; Yaolong CHEN ; Liqun WU ; Xiaohui WANG
Medical Journal of Peking Union Medical College Hospital 2024;15(1):202-210
7.Construction and application of medical metaverse scenes
Jiaming YANG ; Min CAI ; Rongqian YANG ; Peifeng GUAN ; Zhengrong LI ; Qinghu MENG ; Zhewei YE
Chinese Journal of Orthopaedic Trauma 2024;26(1):68-72
The medical metaverse is a combination of medicine and other cutting-edge technologies such as computer and information ones. In the medical metaverse, medical knowledge in the real world will be transformed into a digital form, so that activities concerning diagnosis, treatment, education and clinical practice can be carried out in a virtual environment. Based on the latest research advances at home and abroad, this review expounds on the medical metaverse from the aspects of supporting technologies, applications in clinic and medical education, current deficiencies and future development.
8.Bioinformatics analysis and experimental validation of ferroptosis in peri-implantitis
Zhewei ZHANG ; Jiaohong WANG ; Wei WU ; Shuo DONG ; Guoqing LI ; Chunbo TANG
STOMATOLOGY 2024;44(7):527-535
Objective To investigate the key genes associated with ferroptosis in peri-implantitis and explore the potential mecha-nisms regulating peri-implantitis.Methods Several datasets were obtained from the GEO database.Differential expressed genes were screened,and GO and KEGG analyses were performed.A PPI network was constructed using the STRING website.Key genes were val-idated using a test set,and the diagnostic value of key genes was determined.The content and proportion of 22 immune cells in peri-im-plantitis tissues were obtained through immune infiltration analysis.Key genes were validated by qRT-PCR and Western Blot(WB).Results There were 1 138 differential genes between peri-implantitis tissues and normal gingival tissues,of which 29 were related to ferroptosis.The gene expression in peri-implantitis tissues mainly involved processes such as immune response activation.Five key genes in the ferroptosis-related differential genes,namely SOX2,GJA1,IL1B,GPX2 and CHAC1,were differentially expressed in peri-implantitis tissues and had high diagnostic value.Immune infiltration analysis showed significant changes in immune cells such as memory B cells and plasma cells in peri-implantitis tissues.qRT-PCR and WB confirmed significant differential expression of mRNA and the protein transcribed by key genes.Conclusion Differential genes between peri-implantitis and ferroptosis are screened using bioinformatics analysis and biological validation,providing new insights into the study on peri-implantitis.
9.Research Progress of Platelet Abnormalities in Inflammatory Bowel Disease
Haichen LI ; Zhewei ZHANG ; Zhengyu REN ; Yuling CHEN ; Yingchao LI
Chinese Journal of Gastroenterology 2024;29(4):242-247
Platelet is the key factor in hemostasis and coagulation,its potential in inflammatory response and immune response has been widely concerned in recent years.A growing number of studies indicate that tissue damage in inflammatory bowel disease is not only the result of dysregulated immune response,but also the active participation of various other cellular systems,and platelet might play an important role in intestinal mucosal inflammation and immunity.This article reviewed the abnormal changes and possible mechanisms of platelet in inflammatory bowel disease,and the prospects of platelet as a specific treatment target for inflammatory bowel disease.
10.Establishment of a predictive nomogram for clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer
Shenhao PAN ; Yankun LI ; Zhewei WU ; Yuling MAO ; Chunyan WANG
Journal of Southern Medical University 2024;44(7):1407-1415
Objective To establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.Methods We retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer,who were randomly divided into a training dataset(60%)and a testing dataset(40%).Using univariate analysis,multiple logistic regression analysis,and LASSO regression analysis,we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer.We employed an integrated learning approach that combined GBM,XGBOOST,and MLP algorithms for optimization of the model performance through parameter adjustments.Results The clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age,Gn initiation dose,number of assisted reproduction cycles,and number of embryos transferred.The variables included in the LASSO model selection included female age,FSH levels,duration and initial dose of Gn usage,number of assisted reproduction cycles,retrieved oocytes,embryos transferred,endometrial thickness on HCG day,and progesterone level on HCG day.The nomogram demonstrated an accuracy of 0.642(95%CI:0.605-0.679)in the training dataset and 0.652(95%CI:0.600-0.704)in the validation dataset.The predictive ability of the model was further improved using ensemble learning methods and achieved predicative accuracies of 0.725(95%CI:0.680-0.770)in the training dataset and 0.718(95%CI:0.675-0.761)in the validation dataset.Conclusions The established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.


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