1.Exploring the safety and the countermeasures of rational use of Psoraleae Fructus based on the evolution of efficacy/toxicity records in ancient and modern literature
Ying-jie XU ; Xiao-yan ZHAN ; Zhao-fang BAI ; Xiao-he XIAO
Acta Pharmaceutica Sinica 2025;60(2):314-322
Psoraleae Fructus is derived from the dried fruit of the
2.Study of the evaluation methods for evidence and recommendation in Chinese expert consensus on off-label use of drugs
Mingyue ZHANG ; Nan CHEN ; Ling XU ; Zhenggang BAI ; Likai LIN
China Pharmacy 2025;36(6):641-647
OBJECTIVE To provide reference for optimizing or formulating unified evaluation methods for evidence and recommendation in expert consensus on off-label use of drugs. METHODS Retrieved from CNKI, Wanfang data, VIP, CBM, PubMed and Web of Science, Chinese expert consensuses on off-label use of drugs involving evaluation methods for evidence and recommendations were collected from the inception to August 1, 2024. After screening the literature and extracting relevant data, descriptive statistical analysis was conducted. RESULTS & CONCLUSIONS Among the 32 articles included, 14 articles (43.8%) used Micromedex’s Thomson grading system, only 7 articles (21.9%) considered economic factors when forming recommendations, 10 articles (31.3%) reported the conflicts of interest; only 2 articles (6.3%) involved experts in the field of evidence-based medicine methodology. There were differences in the sources of evidence, factors considered in forming recommendations, and the grading standards for evidence and recommendations among different expert consensus evidence evaluation methods. There were also differences in evidence levels and recommendation strength of the same drug off-label use in different expert consensus. It is recommended that in future consensus-building processes, greater attention should be paid to potential conflicts of interest among participants, collaboration with methodological experts should be enhanced, and efforts should be expedited to establish unified standards for evaluating evidence and recommendation methodologies.
3.Incidence of statutory and keymonitored infectious diseases among students in Beijing from 2016 to 2020
XU Wenjie, BAI Chengxu, CHEN Dongni, XIA Zhiwei, WU Shuangsheng, GUO Xin, YANG Peng
Chinese Journal of School Health 2025;46(4):592-596
Objective:
To analyze the incidence of statutory and keymonitored infectious diseases among school students in Beijing from 2016 to 2020, so as to provide a reference for developing the prevention and control of infectious diseases in schools.
Methods:
A descriptive statistical analysis was conducted on student cases aged 6-22 years in Beijing from 2016 to 2020 selected from the China Disease Surveillance Information Reporting Management System. Rate comparisons were performed using the 2 test and trend 2 test.
Results:
From 2016 to 2020, the overall incidence of statutory and keymonitored infectious diseases among students in Beijing showed an upward trend (χ2trend=582.42), the incidence rates of Category B and other infectious diseases exhibited a downward trend (χ2trend=82.71, 18.34), while Category C infectious diseases demonstrated a significant upward trend (χ2trend=911.75) (P<0.01). Among Category B infectious diseases, scarlet fever, bacillary dysentery, tuberculosis, and HIV/AIDS were predominant, with annual average incidence rates of 61.33/100 000, 35.38/100 000, 13.88/100 000, and 3.78/100 000, respectively. Except for HIV/AIDS, the reported incidence rates of other infectious diseases showed a declining trend. Among Category C infectious diseases, influenza, other infectious diarrhea, hand-foot-mouth disease, and mumps were predominant, with annual average incidence rates of 956.13/100 000, 114.39/100 000, 111.37/100 000, and 28.24/100 000, respectively. Influenza showed a significant upward trend (χ2trend=1 508.30), while the other infectious diarrhea, hand-foot-mouth disease, and mumps exhibited a downward trend (χ2trend=13.84, 25.78, 6.13) (P<0.05). Among other infectious diseases, varicella was predominant (χ2trend=17.47, P<0.05). Scarlet fever, influenza, hand-foot-mouth disease, and mumps had higher incidence rates among primary and middle school students; other infectious diarrhea and varicella were more prevalent among high school students; tuberculosis and bacillary dysentery were more common among high school and college students; and HIV/AIDS had higher incidence rates among college and high school students.
Conclusion
From 2016 to 2020, the incidence of Category B infectious diseases among students in Beijing showed a declining trend, while influenza, a Category C infectious disease, exhibited a significant upward trend.
4.Constructing a model of degenerative scoliosis using finite element method:biomechanical analysis in etiology and treatment
Kai HE ; Wenhua XING ; Shengxiang LIU ; Xianming BAI ; Chen ZHOU ; Xu GAO ; Yu QIAO ; Qiang HE ; Zhiyu GAO ; Zhen GUO ; Aruhan BAO ; Chade LI
Chinese Journal of Tissue Engineering Research 2025;29(3):572-578
BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.
5.Taste Receptors and Traditional Chinese Medicine Theory of Five Flavors: A Review
Xiaoxiao XU ; Hongjie BAI ; Yu BI ; Zhenni QU ; Dianhua SHI ; Yanpeng DAI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):322-330
Taste is a sensation produced by the reaction of substances in the mouth with taste receptor cells, and a normal taste function is essential for our daily life and health. As receivers of taste molecules, taste receptors include sour, bitter, sweet, salty, and umami receptors, which are mainly distributed in the oral cavity, gastrointestinal tract, respiratory tract epithelium and other organs and play a physiological role. Traditional Chinese medicine (TCM) has five flavors (sour, bitter, sweet, pungent, and salty), which are closely related to the efficacy. Except the pungent flavor and umami taste receptors, the other five taste receptors correspond to the five flavors in the TCM theory, while the correlations between them have not been studied, such as those between bitter receptors and bitter TCM and between sweet receptors and sweet TCM. This article reviews the research reports on taste receptors in recent years. By analyzing the relationships of taste receptors with five flavors of TCM, signaling mechanisms, and diseases based on "receptor-TCM" correlations, this article puts forward the possibility of combining the TCM theory of five flavors with modern biomedical research, providing a reference for the research on "flavors" in TCM and the correlations between TCM and taste receptors.
6.Taste Receptors and Traditional Chinese Medicine Theory of Five Flavors: A Review
Xiaoxiao XU ; Hongjie BAI ; Yu BI ; Zhenni QU ; Dianhua SHI ; Yanpeng DAI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):322-330
Taste is a sensation produced by the reaction of substances in the mouth with taste receptor cells, and a normal taste function is essential for our daily life and health. As receivers of taste molecules, taste receptors include sour, bitter, sweet, salty, and umami receptors, which are mainly distributed in the oral cavity, gastrointestinal tract, respiratory tract epithelium and other organs and play a physiological role. Traditional Chinese medicine (TCM) has five flavors (sour, bitter, sweet, pungent, and salty), which are closely related to the efficacy. Except the pungent flavor and umami taste receptors, the other five taste receptors correspond to the five flavors in the TCM theory, while the correlations between them have not been studied, such as those between bitter receptors and bitter TCM and between sweet receptors and sweet TCM. This article reviews the research reports on taste receptors in recent years. By analyzing the relationships of taste receptors with five flavors of TCM, signaling mechanisms, and diseases based on "receptor-TCM" correlations, this article puts forward the possibility of combining the TCM theory of five flavors with modern biomedical research, providing a reference for the research on "flavors" in TCM and the correlations between TCM and taste receptors.
7.Health literacy of infectious disease and its influencing factors for school doctors and health teachers in Beijing primary and secondary schools, 2023
XU Wenjie, BAI Chengxu, CHEN Dongni, WU Shuangsheng, SUN Bingjie, YANG Peng
Chinese Journal of School Health 2025;46(5):672-675
Objective:
To investigate the levels of knowledge and skills in infectious diseases among school doctors and health teachers in Beijing s primary and secondary schools in 2023, and analyze the influencing factors, so as to provide a reference basis for enhancing the professional competencies of school doctors and health teachers.
Methods:
From October to November 2023, a census method was used to conduct a questionnaire survey among all school doctors and health teachers in 16 districts of Beijing. Chi-square tests and multivariate Logistic regression analysis was used perform statistical analysis.
Results:
The awareness rate of infectious diseaserelated knowledge among school doctors and health teachers in primary and secondary schools in Beijing in 2023 ranged from 34.44 % to 98.57%, while the behavior formation rate ranged from 65.90% to 98.64%. The proportions of those with literacy in infectious disease knowledge and behavior among school doctors and health teachers were 82.76% and 85.70%, respectively. Multivariate Logistics regression analysis showed that being a full-time employee, having a bachelor s degree or above, and holding a senior professional title were positively correlated with having literacy in infectious disease knowledge ( OR =1.76, 2.57, 1.42 , P <0.01). Compared to medical professionals, those in education and other professions were negatively correlated with having literacy in infectious disease knowledge ( OR =0.37, 0.55, P <0.01). Being a full-time employee, being female, and age were positively correlated with having literacy in infectious disease behavior ( OR =1.66, 2.18, 1.02, P <0.01).
Conclusions
The level of health literacy for infectious diseases among school doctors in Beijing primary and secondary schools is relatively high. Targeted training on key professional knowledge and skills should be prioritized for individuals with deficiencies in infectious disease prevention and control.
8.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
9.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.
10.Multiparametric MRI to Predict Gleason Score Upgrading and Downgrading at Radical Prostatectomy Compared to Presurgical Biopsy
Jiahui ZHANG ; Lili XU ; Gumuyang ZHANG ; Daming ZHANG ; Xiaoxiao ZHANG ; Xin BAI ; Li CHEN ; Qianyu PENG ; Zhengyu JIN ; Hao SUN
Korean Journal of Radiology 2025;26(5):422-434
Objective:
This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy.
Materials and Methods:
Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP.
Results:
The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001).
Conclusion
Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.


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