With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

OBJECTIVES: To investigate the therapeutic effect of the natural compound niranthin on Crohn's disease-like colitis in mice and explore the underlying molecular mechanisms. METHODS: In a mouse model of colitis induced by 2,4,6-trinitro-benzenesulfonic acid (TNBS), the therapeutic effect of niranthin was evaluated by observing the changes in body weight, disease activity index (DAI), and colon length of the mice. The levels of inflammatory cytokines (IL-6, IL-1β, TNF-α, IL-17A and IL-10) in the intestinal mucosal tissue were detected using ELISA and quantitative real-time PCR (qRT-PCR). TUNEL staining and Western blotting were used to assess intestinal epithelial cell apoptosis and the expressions of Bcl-2 and Bax. The expression levels of tight junction proteins (ZO-1 and claudin-1) and the activation of the p38/JNK signaling pathway were investigated using Western blotting, and diprovocim intervention experiments were conducted to explore the molecular regulatory mechanism of niranthin. RESULTS: Niranthin treatment significantly increased body weight of TNBS-treated mice, lowered the DAI and histological inflammation scores, and increased colon length of the mice. The niranthin-treated mouse models showed obviously reduced protein and mRNA levels of IL-6, IL-1β, IL-17A, and TNF-α and upregulated expression of IL-10 in the colon tissue. TUNEL staining and Western blotting demonstrated that niranthin significantly inhibited intestinal epithelial cell apoptosis and activated the anti-apoptotic pathway in the mouse models. Niranthin treatment obviously upregulated the expression levels of ZO-1 and claudin-1 and downregulated the phosphorylation levels of p38 and JNK in the colon tissues of the mice. Diprovocim intervention obviously attenuated the inactivation of the p38/JNK signaling pathway induced by niranthin in the mouse models. CONCLUSIONS Niranthin ameliorates TNBS-induced Crohn's disease-like colitis in mice by inhibiting intestinal epithelial cell apoptosis and protecting the integrity of the intestinal barrier via regulating the activation of the p38/JNK signaling pathway.
Animals ; Apoptosis/drug effects* ; Mice ; Intestinal Mucosa/drug effects* ; Crohn Disease/drug therapy* ; MAP Kinase Signaling System/drug effects* ; Epithelial Cells/drug effects* ; Disease Models, Animal ; Signal Transduction/drug effects* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; Male

OBJECTIVE: To investigate the clinical characteristics and prognosis of peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS). METHODS: Clinical data of 10 patients with PTCL-NOS in Gansu Provincial Hospital from May 2016 to June 2023 were collected. The treatment outcomes were evaluated, and the factors affecting prognosis were analyzed. RESULTS: The median age of onset for the 10 patients was 60.7 (47-75) years, with 7 males and 3 females. Nine cases received chemotherapy, while one case died suddenly after diagnosis, and the median course of chemotherapy was 6.9 (1-13) courses. Assessing the efficacy, 3 patients achieved complete remission (CR) while 7 patients showed progression. Age, sex, lactate dehydrogenase (LDH) level, Ki-67 and the presence of hemophagocytic lymphohistocytosis (HLH) were not statistically correlated with CR rate ( P >0.05). Patients with IPI score 3-5, and Ann Arbor stage III-IV had statistically lower CR rates (both P <0.05). Age, B symptoms, LDH level ,hemoglobin, Ki-67 index and PLR value were not statistically correlated with overall survival (OS) time ( P >0.05). Male, platelet <150×10⁹/L, IPI score 3-5, Ann Arbor stage III-IV, presence of HLH, NLR≥4.05, and LMR <2.81 were statistically correlated with shorter OS (all P <0.05). Among the 10 patients, 3 cases have survived and are still in CR status, while 7 cases have died, with a median survival time of 7.5 (1-85) months. CONCLUSIONS Patients with IPI score 3-5 and Ann Arbor stage III-IV have low CR rate and poor prognosis. The OS of patients who are male, with platelet <150×10⁹/L, IPI score 3-5, Ann Arbor stage III-IV, complication of HLH, NLR≥4.05, and LMR <2.81 is short, and prognosis is poor.
Humans ; Lymphoma, T-Cell, Peripheral/diagnosis* ; Male ; Prognosis ; Middle Aged ; Female ; Aged

OBJECTIVE: The relationship between fish consumption and stroke is inconsistent, and it is uncertain whether this association varies across predicted stroke risks. METHODS: A cohort study comprising 95,800 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project was conducted. A standardized questionnaire was used to collect data on fish consumption. Participants were stratified into low- and moderate-to-high-risk categories based on their 10-year stroke risk prediction scores. Hazard ratios ( HRs) and 95% confidence intervals ( CIs) were estimated using Cox proportional hazard models and additive interaction by relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI). RESULTS: During 703,869 person-years of follow-up, 2,773 incident stroke events were identified. Higher fish consumption was associated with a lower risk of stroke, particularly among moderate-to-high-risk individuals ( HR = 0.53, 95% CI: 0.47-0.60) than among low-risk individuals ( HR = 0.64, 95% CI: 0.49-0.85). A significant additive interaction between fish consumption and predicted stroke risk was observed (RERI = 4.08, 95% CI: 2.80-5.36; SI = 1.64, 95% CI: 1.42-1.89; AP = 0.36, 95% CI: 0.28-0.43). CONCLUSION Higher fish consumption was associated with a lower risk of stroke, and this beneficial association was more pronounced in individuals with moderate-to-high stroke risk.
Humans ; China/epidemiology* ; Male ; Female ; Stroke/etiology* ; Middle Aged ; Prospective Studies ; Incidence ; Aged ; Animals ; Fishes ; Risk Factors ; Diet ; Seafood ; Adult ; Cohort Studies

Following the core outcome set standards for development(COS-STAD), this study aims to construct core outcome set(COS) for clinical research on traditional Chinese medicine(TCM) treatment of simple obesity. Firstly, a comprehensive review was conducted on the randomized controlled trial(RCT) and systematic review(SR) about TCM treatment of simple obesity that were published in Chinese and English databases to collect reported outcomes. Additional outcomes were obtained through semi-structured interviews with patients and open-ended questionnaire surveys for clinicians. All the collected outcomes were then merged and organized as an initial outcome pool, and then a preliminary list of outcomes was formed after discussion by the working group. Subsequently, two rounds of Delphi surveys were conducted with clinicians, methodology experts, and patients to score the importance of outcomes in the list. Finally, a consensus meeting was held to establish the COS for clinical research on TCM treatment of simple obesity. A total of 221 RCTs and 12 SRs were included, and after integration of supplementary outcomes, an initial outcome pool of 141 outcomes were formed. Following discussions in the steering advisory group meeting, a preliminary list of 33 outcomes was finalized, encompassing 9 domains. Through two rounds of Delphi surveys and a consensus meeting, the final COS for clinical research on TCM treatment of simple obesity was determined to include 8 outcomes: TCM symptom scores, body mass index(BMI), waist-hip ratio, waist circumference, visceral fat index, body fat rate, quality of life, and safety, which were classified into 4 domains: TCM-related outcomes, anthropometric measurements, quality of life, and safety. This study has preliminarily established a COS for clinical research on TCM treatment of simple obesity. It helps reduce the heterogeneity in the selection and reporting of outcomes in similar clinical studies, thereby improving the comparability of research results and the feasibility of meta-analysis and providing higher-level evidence support for clinical practice.
Humans ; Obesity/therapy* ; Medicine, Chinese Traditional ; Randomized Controlled Trials as Topic ; Treatment Outcome ; Drugs, Chinese Herbal/therapeutic use*

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

In February 2024,the European Society of Cardiology(ESC)Working Group on Aortic and Peripheral Vascular Diseases,in collaboration with the European Society for Vascular Medicine(ESVM)and the European Society for Vascular Surgery(ESVS),published the Consensus on Exercise Therapy for Chronic Symptomatic Peripheral Artery Disease.This document provides evidence-based recommendations for estab-lishing comprehensive exercise programs,offering optimal therapeutic strategies for symptomatic chronic pe-ripheral artery disease(PAD)patients.Specifically,it proposes different exercise training regimens.This re-view interprets the consensus core components to inform evidence-based exercise therapy recommendations for PAD management in China.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

Objective:To investigate the psychological status of the outpatients in the andrology clinic and the effect of risk warning combined with multidisciplinary team(MDT)intervention on their satisfaction.Methods:Using convenience sampling,we enrolled 600 outpatients seeking medical attention in the Department of Andrology of our hospital from July to October 2022.We ran-domized the patients into a control(n=300)and an observation group(n=300),obtained their basic information,evaluated their psychological status with the Hospital Anxiety and Depression Scale(HADS),and assessed their satisfaction with the Xijing Hospital Outpatients'Satisfaction Questionnaire(HOSQ).The controls followed the routine procedure of treatment,while the patients in the ob-servation group received early warning before intervention based on their HADS scores.We provided normal medical care for those with HADS scores≤7,employed empathetic communication for those with HADS scores of 8-10,and conducted MDT intervention for those with HADS scores≥1l,followed by comparison of the patients'satisfaction with the outpatient service between the two groups.Results:There were no statistically significant differences in general conditions between the groups of patients(P＞0.05).The mean prevalence rate of anxiety and depression was 47.83％among the male subjects,lower in the control than in the observation group(47.00％vs 48.67％,P＞0.05),but higher in the patients with the education of junior high school or below(60.99％)than in those with that of senior high school(22.34％)and university or above(16.67％),and also higher in those aged 18-40 years(67.38％)than in those aged 41-60 years(51.82％)and over 60 years old(38.33％).A significantly higher rate of satisfaction with the outpatient service was found in the observation group than in the controls(97.18％vs 90.39％,P＜0.05).Conclusion:Anxie-ty and depression are prevalent among the outpatients in the andrology clinic,with a higher prevalence rate in those with lower educa-tion and at a younger age.Early risk warning combined with MDT intervention can improve the satisfaction of the patients.