Osteoarthritis （OA） and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan， a classic prescription in Tibetan medicine， have the functions of clearing heat， awakening the brain and opening orifices， relaxing tendons and promoting meridian circulation， and eliminating yellow water. Clinically， they are used to treat osteoarthritis， post-stroke sequelae， neuropathic pain， and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory， analgesic， and nerve-repairing effects. However， current research remains insufficient regarding the appropriate indications， timing， and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use， a panel of national experts， including clinical specialists， Tibetan medicine practitioners， pharmacologists， and methodologists， formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system， and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan， including therapeutic indications， dosage and administration， treatment duration， and medication safety. The consensus specifically addresses the clinical efficacy， appropriate timing of administration， dosage strategies， treatment cycles， and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke， reduce medication-related risks， and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine， with the standard number GS/CACM 369-2024.

Objective To establish radioresistant human non-small cell lung cancer NCI-H460R model cells and evaluate the sensitivity of these radioresistant cells to a ferroptosis inducer. Methods Radioresistant cell lines, designated as NCI-H460 R20Gy and NCI-H460 R116Gy, were generated by subjecting parental NCI-H460 cells to fractionated irradiation with varying cumulative doses. Both parental cells and the established radioresistant cell lines were each randomly divided into four groups and exposed to irradiation at 0, 2, 4, and 6 Gy, respectively. Successful establishment of the radioresistant cell lines was confirmed by colony formation assay. Subsequently, cells were treated with increasing concentrations of the ferroptosis inducer RSL-3 to assess differential sensitivity between parental and radioresistant cells to ferroptosis. Results In comparison to the parental NCI-H460 cells (D_0WT=1.2), both NCI-H460 R116Gy and NCI-H460 R20Gy cells exhibited radioresistance, with NCI-H460 R116Gy demonstrating a stronger radioresistance (D_0R116Gy=1.5) than NCI-H460 R20Gy (D_0R20Gy=1.4). Furthermore, NCI-H460 R116Gy cells exhibited increased sensitivity to RSL-3 relative to the parental cells (P < 0.001), while NCI-H460 R20Gy cells did not display a significant difference in sensitivity to RSL-3. Conclusion Human non-small cell lung cancer cells with radioresistance induced by a high cumulative irradiation dose exhibit increased sensitivity to the glutathione peroxidase 4-specific ferroptosis inducer RSL-3. This finding provides an experimental basis for optimizing combined treatment regimens involving radiotherapy and RSL-3 for non-small cell lung cancer patients with radiotherapy resistance.

Tumor immunotherapy has emerged as a highly esteemed and rapidly evolving field in recent years,marked by the development of numerous significant therapeutic approaches. Among these,immune checkpoint inhibitors stand out as a pivotal strategy,attracting considerable attention due to their substantial research progress. This article provides a comprehensive review of the current research advancements in ten key immune checkpoints related to anti-tumor therapy,including PD-1/PD-L1,CTLA-4,LAG-3,TIM-3,TIGIT,and VISTA. By conducting an in-depth analysis of their mechanisms of action,clinical applications,and future research directions,this review aims to offer valuable insights and guidance for optimizing strategies in tumor immunotherapy.

Objective:To examine the relationships between perceived organizational support in job resources, self-efficacy in personal resources, and teaching commitment based on the job requirement-resource model, and to explore the path of influencing clinical teachers' teaching commitment.Methods:Using the convenience sampling method, 463 clinical teachers from 16 university-affilicated hospitals in Shandong Province, China were selected as the study subjects. Surveys were conducted using the Perceived Organizational Support Scale, Self-efficacy Scale, and Teaching Commitment Scale. A statistical analysis was performed using SPSS 26.0. A structural equation model was constructed using AMOS 26.0 to test the mediation effect.Results:①The level of teaching commitment of clinical teachers was relatively high, with a total score of (45.25±9.21) points. The total score of perceived organizational support was (38.22±9.75) points, and the total score of self-efficacy was (112.27±17.30) points. ②Perceived organizational support and self-efficacy were positively correlated with teaching commitment ( r=0.59, r=0.65, both P<0.01). ③ Perceived organizational support had significant and direct positive effects on teaching commitment and self-efficacy ( β=0.36, β=0.51, both P<0.01). Self-efficacy significantly and positively affected teaching commitment ( β=0.47, P<0.01). Self-efficacy played a significant and partial mediating role in the effect of perceived organizational support on teaching commitment (standardized mediating effect value of 0.239, P<0.01), and the mediating effect percentage was 39.83%. Conclusions:Perceived organizational support not only directly predicts clinical teachers' teaching commitment, but also indirectly affects teaching commitment through self-efficacy. University-affiliated hospital administrators should pay attention to clinical teachers' perceived organizational support to improve their self-efficacy and teaching commitment, thereby ensuring teaching quality.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.

Objective To measure and analyze anatomic parameters of resected distal femurs and proximal tibias in Kaschin-Beck disease(KBD)and osteoarthritic(OA)knees which fit for total knee arthroplasty(TKA),so as to provide basis for designing suitable knee prosthesis for KBD patients.Methods A total of 154 knees(75 KBD and 79 OA)fitting for TKA underwent three-dimensional reconstruction;resection of distal femurs and proximal tibias was simulated during TKA.We measured the distal femoral mediolateral(fML),lateral anteroposterior(fLAP),medial anteroposterior(fMAP),medial condylar width(fMCW),lateral condylar width(fLCW)and fML/fLAP aspect ratio,proximal tibial mediolateral(tML),middle anteroposterior(tAP),medial anteroposterior(tMAP),lateral anteroposterior(tLAP)dimension,and tML/tAP aspect ratio to compare the morphometric differences between KBD and OA knees.Results The measured anatomic parameters of resected distal femurs and proximal tibias in both male and female patients of KBD group were smaller than those of OA knees(P＜0.01).We also found that KBD group had larger distal femur fML/fLAP and proximal tibia tML/tAP aspect ratios than those of OA knees(P＜0.01).This indicated that under a given AP dimension,KBD knees need an oval-shaped prosthesis with a wider ML length and more spherical-shaped prosthesis with relatively narrow ML dimensions in OA knees.Conclusion The anatomy of distal femurs and proximal tibias shows significant differences in size and shape between KBD and OA knees,which provides theoretical basis for designing proper knee prosthesis for KBD patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.