1.A brief examination of the historical roots and origins of the evolution of Chinese medical ethics culture
Chinese Medical Ethics 2026;39(1):22-28
Contemporary Chinese medical ethics culture is a brand-new cultural field gradually formed with the development of Chinese society and the progress of medical science and technology. This type of culture, with its own characteristics, needs to be examined and understood from the perspective of the historical roots and origins of its evolution. The ancient Chinese medical ethics thought has a foundational significance for modern and contemporary medical ethics thought. The thought that “medicine is the art of benevolence” is the core concept of Chinese medical ethics culture, from which the ancient medical moral thoughts and cultural systems were derived. With the introduction of Western medicine and its development in China, the penetration of modern Western medical ethics thought into the moral thought system of traditional Chinese medicine became the beginning of the collision and integration of Chinese and Western medical ethics wisdom. The “spirit of red medicine” formed during the revolutionary process in modern China, reflects the characteristics of medical ethics culture forged in the practice of China’s great revolution. Contemporary Chinese medical ethics culture is gradually blending into the mainstream of Chinese society and has become a constituent element of the socialist culture system with Chinese characteristics.
2.Analysis of Risk Factors and Establishment of Prediction Model for Turbidity Toxicity Accumulation Syndrome in Patients with Chronic Atrophic Gastritis
Yican WANG ; Chenggong ZHAO ; Pengli DU ; Jie WANG ; Yuxi GUO ; Haiyan BAI ; Yongli HUO ; Xiaomeng LANG ; Zheng ZHI ; Bolin LI ; Jianping LIU ; Yanru CAI ; Jianming JIANG ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):288-295
ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis (CAG) with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching, patients were divided into a training set (namely dev) and a validation set (namely vad) in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator (namely Lasso) regression algorithms. Subsequently, a model, named model 1se, was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods, including the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test (H-L), calibration plot, and decision curve analysis (DCA). ResultsAge, body mass index (BMI), family history of cancer, job and life satisfaction, yellow and greasy fur with slippery pulse, and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration, which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.
3.Analysis of Risk Factors and Establishment of Prediction Model for Turbidity Toxicity Accumulation Syndrome in Patients with Chronic Atrophic Gastritis
Yican WANG ; Chenggong ZHAO ; Pengli DU ; Jie WANG ; Yuxi GUO ; Haiyan BAI ; Yongli HUO ; Xiaomeng LANG ; Zheng ZHI ; Bolin LI ; Jianping LIU ; Yanru CAI ; Jianming JIANG ; Qian YANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):288-295
ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis (CAG) with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching, patients were divided into a training set (namely dev) and a validation set (namely vad) in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator (namely Lasso) regression algorithms. Subsequently, a model, named model 1se, was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods, including the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow test (H-L), calibration plot, and decision curve analysis (DCA). ResultsAge, body mass index (BMI), family history of cancer, job and life satisfaction, yellow and greasy fur with slippery pulse, and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration, which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.
4.Construction of Syndrome Diagnosis Scale for Chronic Atrophic Gastritis with Turbid Toxin and Stomach Accumulation Based on Delphi Method and Analytic Hierarchy Process
Zhihua LIU ; Xiaoyu LIU ; Yuman WANG ; Runze LI ; Hua LI ; Runxue SUN ; Shaopo WANG ; Jianming JIANG ; Yanru DU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):235-243
ObjectiveTo construct a scale for the diagnosis of chronic atrophic gastritis (CAG) with turbid toxin accumulating in the stomach. MethodsFirst, a research group was established to construct the scale framework. Relevant literature of CAG with syndrome of turbid toxin accumulating in the stomach was searched in CNKI, Wanfang Database (WF), and VIP Database (CQVIP) from April 1, 2003 to April 1, 2023, and items were preliminarily selected after standardization of terms. Through clinical investigation, the discrete trend method, correlation coefficient method, Cronbach's coefficient method, and factor analysis method were used to screen symptom items, and the frequency method was used to screen signs, tongue coating, and pulse conditions. Three rounds of Delphi expert consultation were conducted to determine the items of the scale. The weight of each item was obtained by the analytic hierarchy process. ResultsA total of 49 articles were included, and 45 items were obtained after primary screening, including 28 symptoms, 2 signs, 10 tongue coatings, and 5 pulse conditions. After clinical investigation, 15 symptoms were retained, and 8 signs and pulse conditions of tongue coating were retained. The positive coefficients of experts in three rounds of Delphi expert consultation were 100%, 96.67%, and 100%, respectively. The expert authority coefficients were 0.86, 0.87, and 0.87, respectively, and the coordination coefficients were 0.18, 0.25, and 0.30. After core group discussion, Delphi method investigation, and AHP weight assignment, the diagnostic scale items of CAG with turbid toxin accumulating in stomach syndrome were finally established, namely, dark red or purplish tongue proper with yellow greasy (or dry) coating (30 points), epigastric stuffiness and fullness or pain (15 points), sticky and unsmooth defecation (10 points), taste disturbance (sticky mouth, fetid breath, bitter taste, 7 points), heartburn or acid regurgitation (6 points), dizziness and clouding (5 points), general heaviness and fatigue (5 points), slippery, string‑slippery, or slippery‑rapid pulse (5 points), dysuria (or yellow or deep yellow urine, 4 points), poor appetite (4 points), dull complexion (3 points), sticky, greasy, and fetid secretions (3 points), and poor sleep (3 points). ConclusionBased on the establishment, screening, confirmation, and weighting of an item pool, combined with subjective and objective approaches as well as qualitative and quantitative methods, a diagnostic scale for CAG with the syndrome of turbid toxin accumulating in the stomach was successfully constructed.
6.Policy framework and support systems for early family education and rehabilitation for infants and toddlers with developmental impairments
Chenchen ZHU ; Sisi LIAO ; Yue LIU ; Jianming PAN ; Zhulin ZHU ; Bihua XIA ; Ying XIE
Chinese Journal of Rehabilitation Theory and Practice 2025;31(3):324-330
Objective To explore the policy foundations of early family education and rehabilitation support systems for children with developmental disabilities aged zero to three years,based on the International Classification of Functioning,Disability and Health(ICF),and to construct a comprehensive,whole-person and whole-lifecycle support system integrating early childhood education and rehabilitation services for families;and to propose corresponding sys-tem architecture,construction pathways and governance models.Methods Policy documents were compared,which were related to children's rehabilitation from the World Health Orga-nization,early education guidelines for children with disabilities from the United Nations Educational,Scientific and Cultural Organization,the U.S.Individuals with Disabilities Education Act,European Union children's reha-bilitation policies,and the"14th Five-Year Plan"from China Disabled Persons'Federation.The related policy frameworks and key content of early family education and rehabilitation were reviewed,and the composition,implementation pathways and governance models of the support system were systymatically analyzed.Results The support system consisted of early screening and assessment,family education and parent training,counsel-ing and personalized education and rehabilitation support,community support and resource integration,and re-mote digital support platforms.The study proposed the implementation pathways for five systems,including early screening and assessment,family education and parent training,counseling and personalized rehabilitation support,community support and resource integration,and remote digital support platforms.It emphasized gover-nance mechanisms such as multidisciplinary collaboration,interdepartmental coordination and support from re-mote digital platforms to build a continuous service chain from standardized assessments to interdepartmental collaboration.Conclusion The person-centered approach and whole life span development concept based on the ICF model,as well as the guiding principles of the health services continuum,provide systematic theoretical and policy support for early childhood education and rehabilitation for children with developmental disabilities aged zero to three years.Through multidisciplinary collaboration,interdepartmental coordination and the application of digital platforms,a scientific,continuous and child-centered support system can be built.This not only facilitates early detection and precise intervention but also promotes multi-party collaboration among families,communities and profes-sional institutions.It will further integrate disability prevention,rehabilitation and healthcare services,thereby im-proving children's functional abilities and family quality of life.
7.The evaluation of resting gated radionuclide myocardial imaging in systemic lupus erythematosus with myocardial injury
Jianming XU ; Minchao ZOU ; Jingjing LU ; Kejing SHAO ; Ting LIU ; Fenghong YUAN
Chinese Journal of Rheumatology 2025;29(6):497-503
Objective:To excplore the risk factors for myocardial damage in patients with systemic lupus erythematosus (SLE) and the value of application of resting gated nuclear myocardial imaging.Methods:A total of 64 lupus patients who were hospitalized in Wuxi People′s Hospital from January 2021 to December 2022 were included, and the patients′ clinical data, imaging data, and test reports were retrospectively analyzed using paired χ2 test, t test, Wilcoxon rank-sum test, Mann-Whitney U test, and binary logistic regression analysis. Results:①Among the 64 patients with lupus, 19(29.7%) had abnormal radionuclide myocardial imaging, 23 (35.9%) had elevated BNP, and 6 (9.4%) had myocardial involvement on echocardiography. There was no statistical difference between radionuclide myocardial imaging and BNP ( Kappa=0.294, P=0.503), but there was a significant difference between radionuclide myocardial imaging and echocardiography ( Kappa=0.394, P<0.001). ②There was no statistical difference in the EF values measured by resting gated myocardial radionuclide imaging and echocardiography [(64.9±9.6)% vs. (63.2±5.6)%, Z=-1.73, P=0.083]. ③Compared with the normal myocardial group, the myocardial damage group had higher BNP value [(912±1729)pg/ml vs. (297±572)pg/ml, t=-3.05, P=0.002], ESR[(56±42)mm/1 h vs. (34±27)mm/1 h, t=-2.17, P=0.030], and SDI scores[2.16±1.30 vs. 1.04±0.85, t=-3.43, P=0.002], more patients with a course of disease≥10 years [57.9% vs. 28.9%, Z=2.17, P=0.030], and anti-U1RNP antibody[52.6% 24.4%, Z=-2.18, P=0.029] and anti-SSB antibody[31.6% vs. 11.1% Z=-1.97, P=0.049] were statistically different. ④Through binary logistic regression analysis, SDI score [ OR ( 95%CI)=2.444 (1.195, 4.998), P=0.014], anti-U1RNP antibody [ OR ( 95%CI)=4.569 (1.036, 20.150), P=0.045] and disease duration≥10 years [ OR ( 95%CI)=5.218 (1.210, 22.496), P=0.027] were independent risk factors for myocardial damage in SLE patients. Conclusion:Resting gated radionuclide myocardial imaging can accurately provide ventricular motion parameters and can detect myocardial damage in SLE patients at early stage. Disease duration ≥10 years, high SDI score, and positive anti-U1RNP antibodies are independent risk factors for myocardial damage in SLE patients.
8.Clinical characteristics analysis of children with Noonan-like syndrome with loose anagen hair
Xiou WANG ; Ziqin LIU ; Shaofang SHANGGUAN ; Jianming LAI ; Pengchao WANG ; Fuying SONG ; Xue YE ; Mu DU ; Shuyue HUANG ; Kang GAO
Chinese Journal of Pediatrics 2025;63(4):405-410
Objective:To analyze the clinical and genetic characteristics of children diagnosed with Noonan-syndrome associated with loose anagen hair (NS-LAH).Methods:A retrospective analysis was conducted on the clinical data of 5 children diagnosed with NS-LAH by the Endocrinology Department of the Capital Institute of Pediatrics from January 2018 to June 2024. This analysis encompassed the patients′ demographic information, clinical manifestations, distinguishing features, treatment regimens, and prognostic outcomes to elucidate their clinical characteristics. Additionally, whole-exome sequencing and Sanger sequencing were utilized to investigate the genetic etiology within the families, and the identified variations were interpreted according to the guidelines of the American College of Medical Genetics and Genomics.Results:Among the 5 NS-LAH patients, there were 3 boys and 2 girls, with ages at diagnosis ranging from 2.3 to 7.7 years old. All patients presented with short stature as a primary complaint. Birth histories were generally unremarkable, though case 2 and 5 of macrosomia were noted. In addition to the characteristic facial features of Noonan syndrome, short stature, and varying degrees of intellectual and motor developmental delay, all 5 patients exhibited sparse hair that was easily shed, as well as enlarged head circumferences. Four patients showed structural cardiac abnormalities, which included a case of hypertrophic cardiomyopathy, 2 cases of atrial septal defect, and 1 case of patent foramen ovale. Genetic analysis revealed heterozygous missense variantion in SHOC2 gene in 4 patients, comprising 3 cases with c.4A>G (p.S2G) and one case with c.519G>C (p.M173I). Additionally, one patient was found to have a heterozygous missense variantion c.146C>G (p.P49R) in PPP1CB gene. Three children were diagnosed with growth hormone deficiency and treated with growth hormone for 1.7, 2.7 and 0.5 years. This resulted in significant improvements in height, with annual increases of 11.8, 8.4 and 13.0 cm, respectively. Among the 4 patients with SHOC2 variantions, 2 developed systemic lupus erythematosus and 1 exhibited symptoms of arthritis.Conclusions:Growth failure is the primary complaint in patients with NS-LAH. Key characteristic findings include enlarged head circumference and sparse, loose hair. Growth hormone deficiency is commonly associated with NS-LAH, and growth hormone therapy is generally effective. Furthermore, patients carrying the classic variantion in SHOC2 (c.4A>G) may have an increased risk of developing autoimmune diseases.
9.Development of a multimodal deep learning-based risk prediction model integrating clinical and radiomic features for short-term acute kidney injury following partial nephrectomy
Jiangting CHENG ; Jiayi XU ; Chenyang SHEN ; Guanwen YANG ; Yaohui LI ; Li LIU ; Jiajun WANG ; Xiaoyi HU ; Jianming GUO ; Hang WANG
Chinese Journal of Urology 2025;46(5):349-355
Objective:To develop and validate a deep learning-based multimodal model integrating clinical and radiomic features for predicting acute kidney injury(AKI)risk after partial nephrectomy.Methods:A retrospective analysis was conducted on 416 patients who underwent partial nephrectomy at Zhongshan Hospital,Fudan University from January 2023 to January 2025. The cohort included 100 AKI patients[defined by a ≥ 25% reduction in postoperative evaluated glomerular filtration rate(eGFR)within 48 hours sustained for >24 hours]and 316 non-AKI patients(1∶3 ratio,randomly matched with 16 additional cases for redundancy). Clinical and radiomic features were extracted from preoperative contrast-enhanced CT scans using PyRadiomics. Demographics included 259 males and 158 females,with a median age of 57(49,65)years,body mass index of(24.1 ± 3.3)kg/m2,preoperative eGFR of(88.5 ± 18.3)ml/(min·1.73 m2),postoperative eGFR(48-hour)of(76.0 ± 21.9)ml/(min·1.73 m2),Zhongshan Score(ZSscore)of 7.34 ± 2.01,and R.E.N.A.L. score of 7.50 ± 1.71. All tumors were T 1a stage. Patients were divided into training(n = 312)and test(n = 104)sets(3∶1 ratio). A clinical model was constructed via multivariate logistic regression,while radiomic and combined(clinical + radiomic)models utilized an artificial neural network(ANN)with 1 input layer,5 hidden layers,1 output layer,and 10 5 training epochs. Model performance was evaluated by using receiver operating characteristic(ROC)curves and area under the curve(AUC),and was compared to the Martini model. Feature contributions were interpreted via SHapley Additive exPlanations(SHAP). Results:In the test set,the results of multivariate logistic regression showed that patient’s weight,preoperative eGFR,R.E.N.A.L. score,surgical approach,and operation time were risk factors for AKI( P < 0.05). The AUC of the clinical feature prediction model constructed based on the above factors was 0.852(95% CI 0.775?0.929). In the test set,the AUC of the Martini model was 0.725(95% CI 0.565?0.791). The radiomic model,trained on 1 315 imaging features,achieved an AUC of 0.898(95% CI 0.804?0.993)with 94.2%(98/104)accuracy. The combined clinical and radiomic model,integrating 1 315 radiomic features and clinical features,demonstrated superior performance with an AUC of 0.946(95% CI 0.887?1.000)and 96.2%(100/104)accuracy,outperforming both the clinical model( P = 0.03)and the Martini model( P < 0.01). SHAP analysis identified the top five predictors in the combined model:ZSscore(SHAP value:0.78),long-run low gray-level emphasis(SHAP value:0.61),run-length non-uniformity(SHAP value:0.58),size-zone non-uniformity(SHAP value:0.46),and gray-level co-occurrence matrix joint energy(SHAP value:0.36). Conclusions:The deep learning-based multimodal model integrating clinical and radiomic features accurately predicts AKI risk after partial nephrectomy,offering a novel strategy for preoperative risk stratification and personalized intervention.
10.Research Progress on Antiviral Herbalism,Material Basis and Mechanism of Dendrobium Genus
Na LUO ; Tingting WANG ; Yang HU ; Baode YE ; Wenshuai BAO ; Yangqing LIU ; Dong LIU ; Jianming CHENG
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(11):1560-1572
Dendrobium is the largest genus of the Orchidaceae family.The fresh and dried stems of many species of this genus have been used as Shihu(Dendrobii Caulis)in traditional Chinese medicine,it is known as the foremost of the"Nine Great Herbs of China".Ancient texts highlight its uses for"strengthening yin,enhancing essence,nourishing the five viscera,alleviating fatigue,and dispelling skin heat and prickly heat".Modern research confirms that the polysaccharides and alkaloids it contains have antiviral ef-fects,it can apply in treating immunodeficiency caused by viral infections clinically.While studies are gradually uncovering the antivi-ral mechanisms and material basis of Dendrobium,the lack of systematic analysis and organization has hindered its resource develop-ment.The paper employed CiteSpace software for bibliometric analysis of Chinese and English literature on Dendrobium.It reviewed the herbalism,material basis,and mechanisms of its antiviral properties building upon the systematic review of ancient materia medica and modern literature.Results indicate that Dendrobium can boost vital energy and resist pathogens,showing great potential in antiviral drug development.

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