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.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

Objective To construct a prediction model for the progression of knee osteoarthritis(KOA)based on ultrasound score,magnetic resonance imaging(MRI)score,and serum levels of transforming growth factor-β1(TGF-β1)and cathepsin D(Cat D).Methods Clinical data from 270 patients with KOA in Hengshui People's hospital from December 2022 to June 2024 were retrospec-tively analyzed.The patients were randomly divided into a modeling set(n=189)and validation set(n=81)at a ratio of 7∶3.The patients in the modeling set were categorized into mild-to-moderate and severe groups based on the degree of disease progression.Mul-tivariate logistic regression analysis was used to identify factors influencing KOA progression,and a prediction model was constructed using R software.Results Multivariate logistic regression analysis showed that body mass index,knee injury history,ultrasound score,WORMS score,TGF-β1,and Cat D were significant predictors of KOA progression(P＜0.05).A nomogram-based prediction model was developed using these variables.The areas under the curve(AUC)of the nomograms for predicting disease progression in the modeling and validation sets were 0.889 and 0.860,respectively.The calibration curves showed that the predicted probability was in good agreement with the actual probability.Conclusion The prediction model developed in this study is effective in identifying patients at high-risk of KOA progression and may servce as a valuable tool for clinical assessment and decision making.

Objective To analyze the clinical risk factors for gastrointestinal dysfunction in patients with traumatic brain injury.Methods A retrospective analysis was conducted on clinical data of 313 cases of traumatic brain injury in our hospital from January 2022 to October 2023.According to whether gastrointestinal dysfunction occurred at admission,the patients were divided into the occurrence group(Group A,90 cases)and the non-occurrence group(Group B,223 cases).Multivariate Logistic regression was used to analyze the risk factors of gastrointestinal dysfunction.The receiver operating characteristic(ROC)curve was used to evaluate the efficacy of each factor in predicting gastrointestinal dysfunction in patients with craniocerebral injury.Results Among 313 patients,90 cases(28.75％)experienced gastrointestinal dysfunction.Logistic analysis showed that the admission GCS score was ≤8 points(OR=3.117,95％CI:1.358-7.157,P=0.007),pulmonary infection(OR=7.129,95％CI:1.889-27.377,P=0.004),intracranial infection(OR=3.152,95％CI:1.162-8.548,P=0.024),frontal lobe injury(OR=5.430,95％CI:1.481-19.915,P=0.011),abnormal serum Na levels(OR=8.482,95％CI:1.958-36.247,P=0.004),and decreased Alb(OR=3.001,95％CI:1.137-7.918,P=0.026)and elevated hs CRP(OR=3.142,95％CI:1.159-8.522,P=0.024)were independent risk factors for gastrointestinal dysfunction in patients with traumatic brain injury.The receiver operating characteristic(ROC)curve was used to evaluate the efficacy of each factor in predicting gastrointestinal dysfunction in patients with craniocerebral injury.Conclusion Admission GCS score≤8,pulmonary infection,intracranial infection,frontal lobe injury,abnormal serum Na levels,decreased Alb,and elevated hs CRP are independent risk factors for gastrointestinal dysfunction in patients with traumatic brain injury.

Objective To construct a prediction model for the progression of knee osteoarthritis(KOA)based on ultrasound score,magnetic resonance imaging(MRI)score,and serum levels of transforming growth factor-β1(TGF-β1)and cathepsin D(Cat D).Methods Clinical data from 270 patients with KOA in Hengshui People's hospital from December 2022 to June 2024 were retrospec-tively analyzed.The patients were randomly divided into a modeling set(n=189)and validation set(n=81)at a ratio of 7∶3.The patients in the modeling set were categorized into mild-to-moderate and severe groups based on the degree of disease progression.Mul-tivariate logistic regression analysis was used to identify factors influencing KOA progression,and a prediction model was constructed using R software.Results Multivariate logistic regression analysis showed that body mass index,knee injury history,ultrasound score,WORMS score,TGF-β1,and Cat D were significant predictors of KOA progression(P＜0.05).A nomogram-based prediction model was developed using these variables.The areas under the curve(AUC)of the nomograms for predicting disease progression in the modeling and validation sets were 0.889 and 0.860,respectively.The calibration curves showed that the predicted probability was in good agreement with the actual probability.Conclusion The prediction model developed in this study is effective in identifying patients at high-risk of KOA progression and may servce as a valuable tool for clinical assessment and decision making.

Objective:To summarize the clinicopathological features, evolving trends in treatment and surgical approaches, and survival outcomes of patients who underwent D2 radical gastrectomy for gastric cancer in Shanxi Provincial Cancer Hospital over the past 11 years with the goal of providing a reference for the clinical practice of gastric cancer in this region.Methods:A retrospective observational study was conducted to analyze the clinicopathological data of patients who underwent D2 radical gastrectomy for pathologically confirmed gastric malignancy at the Department of Gastrointestinal Surgery, Shanxi Provincial Cancer Hospital from January, 2013 to December, 2023. Exclusion criteria consisted of: (1) residual gastric cancer or recurrent gastric cancer after surgery; (2) emergency gastric cancer resection due to bleeding, perforation, obstruction, or other causes; (3) comorbidity with other primary malignant tumors; (4) severe preoperative cardiopulmonary insufficiency or hepatic and renal insufficiency who cannot tolerate radical surgery; and (5) inconsistent main diagnosis information across the medical record system, pathological system, and gastric cancer-specific database. Patients were divided into three groups based on treatment methods: the surgery-only group, the perioperative chemotherapy group, and the adjuvant chemotherapy group. Endpoints included: (1) baseline patient characteristics; (2) trends in tumor location and pathological features; (3) evolution of treatment modalities; and (4) survival outcomes.Results:A total of 15,644 patients were included in the analysis, with 12,591 males and 3,053 females, the male-to-female gender ration was approximately 4∶1; the mean age was (61.2±9.5) years. The tumor sites were mainly concentrated in the esophagogastric junction (EGJ) (57.4%), followed by the antrum (25.9%). The incidence of EGJ cancer initially rose and then declined. However, gastric antrum tumors remained stable, and gastric body tumors showed a slow upward trend after 2020, accounting for 16.7%. In terms of pathological types, poorly differentiated carcinoma was the most prevalent, accounting for 55.9%, followed by moderately differentiated carcinoma (24.2%), mucinous adenocarcinoma (or signet ring cell carcinoma,14.1%), neuroendocrine carcinoma (4.8%), and well-differentiated carcinoma (0.9%). The proportion of poorly differentiated adenocarcinoma showed a significant upward trend overall as well, peaking at 65.6% in 2022 and decreasing to 57.5% in 2023. Mucinous adenocarcinoma (or signet ring cell carcinoma) exhibited fluctuations with a first increase followed by a decrease: it peaked at 17.3% in 2018, dropped sharply to 8.4% in 2022, and rose back to 13.8% in 2023. The proportions of well-differentiated adenocarcinoma, moderately differentiated adenocarcinoma, and neuroendocrine tumors remained stable year by year. In terms of pathological staging, the overall proportions of gastric cancer at Stage 0, Stage I, Stage II, Stage III, and Stage IVa were 0.5%, 17.3%, 25.1%, 54.9%, and 2.3%, respectively. For Stage III, its proportion was 74.6% in 2013, which decreased to 46.4% by 2023. Stages I and II gastric cancer showed an upward trend, with their proportions rising from 10.2% and 12.1% in 2013 to nearly 21.0% and 29.6% in 2023, respectively. Between 2013 and 2023, the proportion of patients who received surgery alone continued to decrease, with this proportion dropping to 34.7% in 2023. In contrast, the number of patients who received adjuvant chemotherapy increased year by year, reaching 54.2% in 2023. Since 2017, the application of perioperative chemotherapy has gradually increased, rising to 11.1% in 2023. Immunotherapy showed an almost synchronous growth trend with perioperative chemotherapy. However, targeted therapy exhibited a downward trend after a period of growth. There were 10,704 cases of open surgery (68.4%), 4,744 cases of laparoscopic surgery (30.3%), and 193 cases of transthoracic surgery (1.2%). Pathological margin positivity was observed in 443 cases (2.8%), and the volume of gastric cancer surgeries gradually increased, peaked in 2021 before subsequently decreasing gradually. However, the volume of laparoscopic surgeries did not decrease; instead, it showed an upward trend. The main resection method for EGJ tumors was total gastrectomy, accounting for 78.5% of the total, followed by proximal gastrectomy, which accounted for 21.5%. After total gastrectomy, esophagojejunal Roux-en-Y anastomosis was the primary anastomotic method, and for proximal gastrectomy, the main anastomotic method was esophagogastric anastomosis, which accounted for 68.0% of the total. For distal gastrectomy, Billroth II anastomosis was the most common anastomotic technique, accounting for 92.7% of these procedures. The overall incidence of postoperative complications was 14.5% (2,264/15,644), among which the incidence of severe complications (grades III-IV) was 4.5% (706/15,644). The entire cohort was followed up with for (47.1±36.8) months, and the 1-year, 3-year, and 5-year overall survival rates were 86.4%, 65.9%, and 58.1%, respectively. For patients with stage 0, I, II, III, and IV gastric adenocarcinoma, the 1-year overall survival rates were 95.7%, 98.0%, 89.4%, 81.0%, and 49.1%, respectively; the 3-year overall survival rates were 92.1%, 94.6%, 81.9%, 51.4%, and 14.7%, respectively; and the 5-year overall survival rates were 89.4%, 91.7%, 75.1%, 41.5%, and 10.0%, respectively. For patients with stage I, II, III, and IV gastric neuroendocrine carcinoma, the 1-year overall survival rates were 96.7%, 91.1%, 73.8%, and 52.6%, respectively; the 3-year overall survival rates were 87.2%, 69.6%, 46.1%, and 32.1%, respectively; and the 5-year overall survival rates were 87.2%, 62.2%, 36.7%, and 32.1%, respectively.Conclusions:Gastric cancer in Shanxi Province is characterized by a male predominance, a high prevalence of tumors at the esophagogastric junction, a large proportion of poorly differentiated adenocarcinoma, and presentation at advanced stages (predominantly Stage III). The detection rate of early gastric cancer has been increasing year by year, the volume of laparoscopic surgeries has been on the rise annually, and the treatment model has shifted from single surgery to comprehensive treatment.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Objective To analyze the clinical risk factors for gastrointestinal dysfunction in patients with traumatic brain injury.Methods A retrospective analysis was conducted on clinical data of 313 cases of traumatic brain injury in our hospital from January 2022 to October 2023.According to whether gastrointestinal dysfunction occurred at admission,the patients were divided into the occurrence group(Group A,90 cases)and the non-occurrence group(Group B,223 cases).Multivariate Logistic regression was used to analyze the risk factors of gastrointestinal dysfunction.The receiver operating characteristic(ROC)curve was used to evaluate the efficacy of each factor in predicting gastrointestinal dysfunction in patients with craniocerebral injury.Results Among 313 patients,90 cases(28.75％)experienced gastrointestinal dysfunction.Logistic analysis showed that the admission GCS score was ≤8 points(OR=3.117,95％CI:1.358-7.157,P=0.007),pulmonary infection(OR=7.129,95％CI:1.889-27.377,P=0.004),intracranial infection(OR=3.152,95％CI:1.162-8.548,P=0.024),frontal lobe injury(OR=5.430,95％CI:1.481-19.915,P=0.011),abnormal serum Na levels(OR=8.482,95％CI:1.958-36.247,P=0.004),and decreased Alb(OR=3.001,95％CI:1.137-7.918,P=0.026)and elevated hs CRP(OR=3.142,95％CI:1.159-8.522,P=0.024)were independent risk factors for gastrointestinal dysfunction in patients with traumatic brain injury.The receiver operating characteristic(ROC)curve was used to evaluate the efficacy of each factor in predicting gastrointestinal dysfunction in patients with craniocerebral injury.Conclusion Admission GCS score≤8,pulmonary infection,intracranial infection,frontal lobe injury,abnormal serum Na levels,decreased Alb,and elevated hs CRP are independent risk factors for gastrointestinal dysfunction in patients with traumatic brain injury.

ObjectiveTo investigate the role of mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in the ferroptosis phenotype of ovarian cancer （OC） cells and the regulatory mechanism of gypenoside L （Gyp-L） on mature-tRNA-Asp-GTC and pre-tRNA-Arg-TCT in OC cells. MethodsThe proliferation of human ovarian adenocarcinoma OVCAR3 cells was detected by cell counting kit-8 （CCK-8） assay， and the half-maximal inhibitory concentration （IC₅₀） values of cisplatin （DDP）， Gyp-L， and DDP in the presence of Gyp-L were calculated to determine the intervention concentration for subsequent experiments. Cell cloning assay and scratch assay reflected the proliferation and migration ability of OVCAR3 cells. PANDORA-seq small RNA sequencing was used to detect the differentially expressed transfer RNA-derived small RNAs （tsRNAs） in the cells after Gyp-L intervention， and the corresponding target genes of the tsRNAs were found by the RNAhybrid software. Malondialdehyde （MDA）， glutathione （GSH）， and lipid peroxide （LPO） levels were measured by colorimetry or enzyme linked immunosorbent assay （ELISA） method， Fe²⁺ content by FerroOrange fluorescent probe， and reactive oxygen species （ROS） content by DCFH-DA fluorescent probe to reflect the occurrence of ferroptosis in OVCAR3 cells. OVCAR3 cells were divided into a control group， a 50 µmol·L^-1 Gyp-L group， and a 100 µmol·L^-1 Gyp-L group. Quantitative real-time polymerase chain reaction （PCR） was performed to detect the expression of mature-tRNA-Asp-GTC， mature-tRNA-Leu-CAA， mature-mt_tRNA-Tyr-GTA_5_end， mature-tRNA-Val-CAC， mature-mt_tRNA-Glu-TTC， pre-tRNA-Arg-TCT， mature-tRNA-Asn-GTT， hydroxymethylbilane synthase （HMBS）， Wnt， β-catenin， glutathione peroxidase 4 （GPX4）， Kelch-like ECH-associated protein 1 （KEAP1）， nuclear factor erythroid 2-related factor 2 （Nrf2）， activating transcription factor 3 （ATF3）， cystine/glutamate antiporter xCT， lysophosphatidylcholine acyltransferase 3 （LPCAT3）， and arachidonate 15-lipoxygenase （ALOX15）. Western blot was performed to detect the expression of HMBS， Wnt， β-catenin， GPX4， KEAP1， Nrf2， ATF3， xCT， LPCAT3， and ALOX15 proteins. ResultsThe 50 µmol·L^-1 Gyp-L， 100 µmol·L^-1 Gyp-L， DDP， 50 µmol·L^-1 Gyp-L+DDP， and 100 µmol·L^-1 Gyp-L+DDP groups showed significantly inhibited proliferation and migration of OVCAR3 cells （P<0.05） and exacerbated cell ferroptosis as reflected by the increase in the content of ROS， MDA， LPO， and Fe²⁺， as well as a decrease in the content of GSH （P<0.05）. Compared with the control group， Gyp-L effectively interfered with the expression of 25 tsRNAs in OVCAR3 cells （P<0.05， |log₂Fc|>1）. Pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/NRF2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/NRF2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 axial expression was significantly aberrant after Gyp-L intervention （P<0.05）. ConclusionThe pre-tRNA-Arg-TCT/HMBS/Wnt/β-catenin/GPX4， pre-tRNA-Arg-TCT/KEAP1/Nrf2/xCT， mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT， and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling pathways are involved in OC development. Gyp-L inhibits OC development by activating OVCAR3 cell ferroptosis onset mainly through the mature-tRNA-Asp-GTC/ATF3/KEAP1/Nrf2/xCT and mature-tRNA-Asp-GTC/LPCAT3/ALOX15 signaling axes.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.