Diabetic cognitive impairment （DCI） has an insidious onset and progressive and irreversible development. There is currently no first-line treatment for DCI. Early intervention of diabetes with traditional Chinese medicine （TCM） can effectively control blood sugar and improve cognitive impairment， which has significant advantages. As a representative of bitter and cold heat-clearing medicines， Coptidis Rhizoma， known for its abilities to clear heat and dampness and remove turbidity and toxins， has been widely used in the clinical prevention and treatment of diabetes， Alzheimer's disease， vascular dementia， and other cognitive impairments. This article systematically summarized relevant literature and observed that Coptidis Rhizoma has shown good potential in the prevention and treatment of DCI with its active ingredients such as berberine and quercetin， drug pairs such as Coptidis Rhizoma-Scutellariae Radix， Coptidis Rhizoma-Acorus Tatarinowii Rhizoma， Coptidis Rhizoma-Pinelliae Rhizoma， Coptidis Rhizoma-Zingiberis Rhizoma， and prescriptions such as Gegen Qinliantang， Huanglian Jiedutang， Banxia Xiexintang， Huanglian Wendantang， Jiaotai Wan， Danggui liuhuangtang， and related Chinese patent medicines. Its mechanism may be related to regulating glucose metabolism， improving insulin resistance， improving amyloid β-protein （Aβ） deposition and tau protein phosphorylation， inhibiting neuroinflammation and oxidative stress， and regulating the "microbe-gut-brain axis". The article systematically reviewed the research progress of Coptidis Rhizoma and its prescriptions in the prevention and treatment of DCI， aiming to preliminarily explain the scientific connotation of Coptidis Rhizoma and provide a basis for its clinical application in the prevention and treatment of DCI.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

OBJECTIVES: To explore the role of C1q, the promoter of the classical pathway of the complement system, in regulating postpartum depressive-like behaviors in mice and the therapeutic mechanism of C1q-neutralizing antibodies. METHODS: Female C57BL/6 mouse models of postpartum depression established by hormone-simulated pregnancy (HSP) were evaluated for depression-like behaviors, and peripheral blood levels and hippocampal expressions of C1q were detected using ELISA and Western blotting. Immunofluorescence staining was used for detecting co-labeling of C1q and microglia, and the differentially expressed mRNAs in the hippocampus of HSP mice were analyzed using RNA sequencing. The Edinburgh Postnatal Depression Scale was used to screen patients with postpartum depression, from whom peripheral blood mononuclear cells were extracted for detecting C1q expression levels with Western blotting. The HSP mice were subjected to stereotactic injection of C1q-neutralizing antibody or a control IgG in the hippocampus, and the changes in depressive-like behaviors and hippocampal expression of C3 were examined. RESULTS: The HSP mice exhibited obvious depressive behaviors, demonstrated by significantly decreased preference for sugar water and increased forced swimming and tail suspension time. The mouse models showed significantly increased peripheral blood C1q level and hippocampal expression level of C1q, accompanied by an increase in Iba1 and C1q co-labeling in the hippocampus. The expression level of C1q in peripheral monocytes was also significantly increased in patients with postpartum depression. In HSP mice, stereotactic injection of C1q-neutralizing antibody, but not the control IgG, obviously alleviated depressive-like behaviors, shown by significantly increased preference for sugar water and decreased forced swimming and tail suspension time, resulting also in decreased expression of C3 in the hippocampus and lowered serum levels of IL-6 and TNF-α. CONCLUSIONS C1q-neutralizing antibodies improve postpartum depressive-like behaviors in mice possibly by regulating the C1q/C3 signaling pathway.
Animals ; Female ; Depression, Postpartum ; Complement C1q/metabolism* ; Antibodies, Neutralizing/pharmacology* ; Mice, Inbred C57BL ; Mice ; Hippocampus/metabolism* ; Pregnancy ; Disease Models, Animal

Objective: To explore the treatment options for congenitally missing teeth in patients with ectodermal dysplasia and provide a clinical reference. Methods: A patient with ectodermal dysplasia with a concave midface, anterior protrusion of the chin, and underdevelopment of the lower third of the face presented with congenital loss of multiple maxillary teeth, malocclusion of the remaining teeth, congenital loss of mandibular dentition, small dental arches, and upper and lower alveolar bone hypoplasia. The patient was treated by means of a removable partial maxillary prosthesis, implants in the anterior region of the lower mandible designed with the assistance of digital guides, and bar-clamped implant-overlay prostheses. A literature review of the protocol for the treatment of this condition was also conducted. Results: In addition to good retention and stability after denture wear, an excellent occlusal relationship, improvement of the patient's facial appearance, including upper and lower lip fullness, more equal balancing of the lower and middle 1/3 of the face, and improved masticatory function were achieved. The results of the literature review showed that patients with ectodermal dysplasia who are congenitally edentulous usually have a complex intraoral situation that makes restoration difficult, and common restorative modalities for these patients include fixed bridges, removable partial dentures, complete dentures, overdentures, and implant prostheses, which need to be selected according to the actual intraoral situation of each patient. Currently, there is no consensus on the treatment of congenitally missing teeth in patients with ectodermal dysplasia, and some scholars have suggested that fixed restorations be recommended for patients with fewer missing teeth, while the option of removable or implant-covered denture restorations should be given to patients with more missing teeth, with removeable prostheses for underage patients that are replaced with permanent fixed prostheses when the jaws have stabilized. Conclusion In patients with ectodermal dysplasia with congenital tooth loss, all factors should be taken into account, and an individualized restorative plan should be developed.

Objective To systematically evaluate the effect and safety of neoadjuvant PD-1/PD-L1 inhibitors combined with chemotherapy for resectable non-small cell lung cancer (NSCLC). Methods The PubMed, EMbase, The Cochrane Library, CNKI, and Wanfang data were searched by computer to identify relevant studies on anti PD-1 /PD-L1 combined with chemotherapy for resectable NSCLC from inception to March 2023. Two authors independently screened the literature, extracted the data, and evaluated the risk of bias in the included studies. The single-arm study was evaluated for quality using the methodological index for non-randomized studies (MINORS). Meta-analysis was conducted by RevMan 5.4 software. Results Twenty-six studies with 965 patients were included in this meta-analysis. MINORS scores of single-arm studies were ≥12 points. The meta-analysis results showed that the pooled pathologic complete response, major pathologic response, and objective response rates as well as partial response, surgical rate and R0 surgical resection rate of neoadjuvant PD-1/PD-L1 inhibitors combined with chemotherapy were 39% [RD=0.39, 95%CI (0.31, 0.47) ], 59% [RD=0.59, 95%CI (0.53, 0.65) ], 72% [RD=0.72, 95%CI (0.65, 0.80) ], 62% [RD=0.62, 95%CI (0.56, 0.69) ], 86% [RD=0.86, 95%CI (0.81, 0.92) ], and 94% [RD=0.94, 95%CI (0.92, 0.97) ], respectively. In terms of safety, the rate of adverse events (AEs) was 65% [RD=0.65, 95%CI (0.52, 0.78) ], and the rate of grade 3 to 5 AEs was 16% [RD=0.16, 95%CI (0.10, 0.23) ]. Conclusion The combination of neoadjuvant PD-1/PD-L1 inhibitors with chemotherapy has good efficacy and safety in the treatment of patients with resectable NSCLC.

BACKGROUND:Prevention of fractures after stroke is very important,and there are currently no models to predict the occurrence of hip fractures after stroke. OBJECTIVE:To investigate the risk factors leading to hip fracture in stroke patients and to establish a risk prediction model to visualize this risk. METHODS:A total of 439 stroke patients were selected from the Affiliated Hospital of Xuzhou Medical University from June 2014 to June 2017,including 107 males and 332 females,with a mean age of(71.38±9.74)years.They were divided into fracture group(n=35)and non-fracture group(n=404)according to the presence or absence of hip fracture.Univariate and multivariate analyses were used to determine the risk factors for hip fracture after stroke.The data were randomly divided into training set(70%)and test set(30%).Nomogram predicting the risk of hip fracture occurrence was created based on the results of the multifactor analysis,and performance was evaluated using receiver operating characteristic curve,calibration curves,and decision curve analysis.A web calculator was created to facilitate a more convenient interactive experience for clinicians. RESULTS AND CONCLUSION:(1)Univariate analysis showed significant differences between the two groups in the number of falls,smoking,hypertension,glucocorticoids,number of strokes,Mini-Mental State Examination,visual acuity level,National Institute of Health Stroke Scale,Berg Balance Scale,and Stop Walking When Talking scale scores(P<0.05).(2)Multivariate analysis showed that number of falls[OR=17.104,95%CI(3.727-78.489),P=0.000],National Institute of Health Stroke Scale[OR=1.565,95%CI(1.193-2.052),P=0.001],Stop Walking When Talking[OR=12.080,95%CI(2.398-60.851),P=0.003]were independent risk factors positively associated with new hip fractures.Bone mineral density[OR=0.155,95%CI(0.044-0.546),P=0.012]and Berg Balance Scale[OR=0.840,95%CI(0.739-0.954),P=0.007]were negatively associated with new hip fractures after stroke.(3)The AUC values of nomogram were 0.956 and 0.907 in the training and test sets,respectively,and the calibration curves showed a high agreement between predicted and actual status with an area under the decision curve of 0.038 and 0.030,respectively.(4)These findings conclude that the number of falls,low bone mineral density,low Berg Balance Scale score,high National Institute of Health Stroke Scale score,and positive Stop Walking When Talking are risk factors for hip fracture after stroke.Based on this,a nomogram with high accuracy was developed and a web calculator(https://stroke.shinyapps.io/DynNomapp/)was created.

Objective:To investigate the status quo of educational and teaching research in community bases for general practice standardized residency training in China.Methods:The studies related to education research in community bases for general practice standardized residency training were searched from Chinese Journal Full Text Database (CNKI), Wanfang Database and China Science and Technology Journal Database (VIP) from inception to November 30, 2023. The keywords of "standardized training of general practitioner residents" or "general practice standardized training" or "general practitioner standardized training" or "general practice training" and "community-based teaching " or "community training" "community base" or "community teaching" were used for search, and affiliations of authors should contain"community health service center". The literature was read and summarized using Endnote and Excel software.Results:A total of 171 articles were retrieved that met the criteria, and 130 articles were finally selected for analysis according to the quality review criteria of the literature. The authors of articles were distributed in 78 institutions of 17 provinces or regions, with 9 provinces or regions having a total of 123 articles (94.6%) with 2 published articles or more, of which the highest number was found in Beijing and Shanghai. Seventeen institutions published 2 or more articles with a total of 69 articles (53.1%), including 67 articles (51.5%) were co-authored by 2 units. The ranking top ten institutions in terms of the number of articles published were 5 community health service centers in Beijing, 4 in Shanghai (co-authored with Shanghai Zhongshan Hospital). There were 46 articles (35.4%) published in core journals and 55 articles (42.3%) with fund-supported projects. The studies presented teaching methods, teaching and training contents, teaching evaluation and effects, teacher training, teaching base construction and information technology application.Conclusion:The educational and teaching research in community bases for general practice standardized training in China has gradually received attention, the researches were mainly carried out by community medical institutions, but the overall quality of research needs to be further improved.

Background and objective Lung cancer is the cancer with the highest incidence and mortality rates in China,and non-small cell lung cancer(NSCLC)accounts for 80％-85％of all malignant lung tumors.Currently,surgical treat-ment remains the primary treatment modality for lung cancer.In recent years,the effectiveness of immune checkpoint inhibi-tors for NSCLC has become a consensus,and neoadjuvant immunochemotherapy(nICT)has shown promising efficacy and safety in early to intermediate stage NSCLC.However,there are fewer studies related to nICT for locally advanced NSCLC.This study aims to evaluate the efficacy and safety of nICT therapy in locally advanced resectable NSCLC.Methods 85 con-firmed resectable stage ⅢA and ⅢB patients treated in the Department of Thoracic Surgery,Second Hospital of Lanzhou University,from January 2021 to April 2024,were divided into the nICT group(n=32)and the surgery alone group(n=53).Clinical baseline data,perioperative indicators,postoperative complications,imaging response rate,pathological response rate,incidence of adverse events,and quality of life were compared between the two groups.Results There were no statisti-cally significant differences in clinical baseline data between the two groups(P＞0.05).Incidence of choosing thoracotomy was higher in the nICT group than in the surgery alone group(P=0.002).There were no significant differences in surgical time,intraoperative blood loss,number of dissected lymph nodes,duration of chest tube placement,postoperative hospital stay,and R0 resection rate between the two groups(P＞0.05).The overall incidence of postoperative complications was 31.25％in the nICT group and 22.64％in the surgery alone group,with no statistically significant difference(P=0.380).In the nICT group,the objective response rate(ORR)was 84.38％,with 5 cases of complete response(CR)(15.63％),22 cases of partial response(PR)(68.75％),15 cases of pathological response rate(pCR)(46.88％),and 11 cases of major pathological reaponse(MPR)(34.38％).During nICT treatment,12 cases(37.50％)experienced grade 3 treatment-related adverse events,no death induced by adverse events or immune related adverse events.Moreover,the symptoms of the patients were improved after nICT treat-ment.Conclusion Neoadjuvant immunochemotherapy shows promising efficacy in locally advanced resectable NSCLC,with manageable treatment-related adverse events.It is a safe and feasible neoadjuvant treatment modality for locally advanced resectable NSCLC.

Objective:To investigate the surgical decision-making types and its influencing factors for obesity patients participating in bariatric metabolic surgery.Methods:The survey targets were patients who were scheduled to bariatric metabolic surgery in The First Affiliated Hospital of Nanjing Medical University, and the survey period was from January 1 to May 30, 2024. The survey was conducted using the general demographic questionnaire, control preference scale, and shared-decision requirements questionnaire for bariatric metabolic surgery. Count data were expressed as absolute numbers and percentages, and comparison between groups was performed using the chi-square test. Comparison of ordinal data was performed using the non parametric test. Univariate analysis was performed using the corresponding statistical methods based on data types. Multivariate analysis was conducted using the willingness of patients to participate in bariatric metabolic surgery decision-making (passive decision-making=1, shared decision-making=2, active decision-making=3) as the dependent variable, and the statistically significant variables in univariate analysis were included as independent variables for disordered multi-class Logistic regression analysis.Results:(1) Results of survey. A total of 568 questionnaires were distributed and collected. After removing 48 unqualified questionnaires, 520 valid questionnaires were collected. Of the 520 patients who completed the questionnaire survey, there were 231 cases participating as the passive decision-making type, 140 cases as shared decision-making type, and 149 as active decision-making type in bariatric metabolic surgery decision-making. (2) Influencing factors for decision-making type of obesity patients participating in bariatric metabolic surgery. Results of multivariate analysis showed that taking the shared decision-making type as a reference, the number of complication (0 compared to ≥4, 1?3 compared to ≥4), medical payment method (medical insurance compared to self-payment), degree of disease understanding (not very understanding compared to general understanding, not understanding compared to general understanding), and the interval between knowing and accep-ting surgery (1-3 months compared to >6 months) were independent factors influencing the willingness of passive decision-making patients to participate in bariatric metabolic surgery deci-sions ( odds ratios=3.520, 2.457, 2.255, 3.147, 1.920, 1.854, 95% confidence interval as 1.552-7.984, 1.215-4.968, 1.335-3.809, 1.865-5.311, 1.025-3.596, 1.065-3.230, P<0.05). Body mass index (BMI) (28.0-31.9 kg/cm 2 compared to ≥37.0 kg/cm 2, 32.0-36.9 kg/cm 2 compared to ≥37.0 kg/cm 2), number of complication (0 compared to ≥4, 1?3 compared to ≥4), family and social support status (poor compared to good), and the interval between knowing and accepting surgery (1?3 months compared to >6 months) were independent factors influencing the willingness of passive decision-making patients to participate in bariatric metabolic surgery decisions ( odds ratios=2.391, 2.478, 6.918, 3.335, 2.974, 2.139, 95% confidence intervals as 1.207-4.735, 1.345-4.563, 2.498-19.159, 1.350-8.242, 1.755-5.039, 1.156-3.957, P<0.05). Taking the passive decision-making type as a reference, BMI (28.0-31.9 kg/cm 2 compared to ≥37.0 kg/cm 2, 32.0-36.9 kg/cm 2 compared to ≥37.0 kg/cm 2) and family social support status (poor compared to good) were independent factors influencing the willingness of passive decision-making patients to participate in bariatric metabolic surgery decisions ( odds ratios=0.404, 0.554, 0.336, 95% confidence interval as 0.221-0.740, 0.327-0.938, 0.212-0.534, P<0.05). (3) Analysis of decision support needs for bariatric metabolic surgery. Results of shared-decision requirements questionnaire showed that the information needs of obesity patients from high to low were surgical indications, postoperative physical changes and dietary habits adjust-ments, surgical costs, surgical complications and risks, and surgical outcomes. The demand for content preference from high to low were in the form of sharing patient experience after bariatric metabolic surgery, comparing before and after bariatric metabolic surgery, popularizing science after bariatric metabolic surgery, introducing surgical methods, live streaming of medical staff, and introducing the hospital environment. In terms of recognition of networked support pathways, 94.04%(489/520) of patients believed that implementing shared decision support based on networked pathways was reliable. Conclusions:Obesity patients are more willing to participate in bariatric metabolic surgery decision-making. But the proportion of patients selecting passive decision-making is relatively high. BMI, number of complication, medical payment method, degree of disease under-standing, family and social support status and the interval between knowing and accepting surgery are independent factors influencing the willingness of obesity patients to paticipate in bariatric metabolic surgery decisions.