Objective This study focuses on a tertiary public hospital in Ningxia to explore the practical application of discipline-specific research performance evaluation.To establish a performance evaluation index system tailored to the characteris-tics of tertiary public hospitals in underdeveloped regions and propose strategies for improving research performance evaluation through empirical research,thereby promoting high-quality hospital development.Methods Guided by the performance evalua-tion indicators for tertiary public hospitals and the accreditation standards for tertiary hospitals,and aligned with the hospital's o-verall work plan,a multi-dimensional and multi-level evaluation method was adopted.Following the SMART principles(Specific,Measurable,Achievable,Relevant,Time-bound)and differentiated scoring principles,research performance evaluation indica-tors were summarized,screened,and weighted.An empirical analysis of the research status of 20 disciplines from 2021 to 2024 was conducted to establish and continuously optimize a research performance evaluation index system suited to the hospital's needs.Results A research performance evaluation index system for public hospital disciplines was finalized,comprising 5 first-level indicators,14 second-level indicators,and 40 third-level indicators(22 quantitative and 18 qualitative).This system standardized the management of discipline-specific research and effectively promoted steady growth,structural adjustment,and development in hospital research.Conclusion Constructing a scientific,standardized,and operable research performance eval-uation index system is of significant importance for enhancing the research level of disciplines in public hospitals and strengthening discipline construction.

Objective:To evaluate the application value of artificial intelligence (AI) and robot of stereotactic surgery (ROSS)-assisted ultra-early thalamic hematoma drainage in elderly patients with minor thalamus and internal capsule hematoma (TICH) and severe hypoperfusion in the internal capsule area.Methods:A retrospective cross-sectional study was performed; 278 patients with TICH and severe hypoperfusion in the internal capsule area identified by AI medical imaging diagnostic system were enrolled from Department of Neurosurgery, Xingtai Central Hospital from January 2023 to August 2024. Among them, 134 patients (study group) received AI and ROSS-assisted ultra-early thalamic hematoma drainage, and 144 patients (control group) received drug treatment. Differences in baseline data and therapy efficiency between the two groups of patients were compared. Multivariate Logistic regression analysis was used to screen the independent influencing factors for prognosis in the study group 180 days after onset (good prognosis: modified Rankin scale scores of 0-3).Results:Compared with the control group, the study group had significantly higher Glasgow coma scale (GCS) score and regional cerebral blood flow (rCBF) in the internal capsule area 14 days after onset, and statistically higher therapy efficiency and good prognosis rate 180 days after onset ( P<0.05). In the study group, 84 patients had a good prognosis and 50 had a poor prognosis 180 days after onset; compared with the good prognosis group, the poor prognosis group had significantly higher proportion of patients with hyper-homocysteinemia history, lower GCS score on admission, larger volume of thalamic hematoma, higher proportions of patients with combined intraventricular hemorrhage and shunt-dependent hydrocephalus, and lower rCBF in the internal capsule area on admission ( P<0.05). Multivariate Logistic regression analysis showed that thalamic hematoma volume ( OR=2.527, 95% CI: 1.504-4.247, P<0.001), combined intraventricular hemorrhage ( OR=2.325, 95% CI: 1.460-3.703, P<0.001), shunt dependent hydrocephalus ( OR=2.371, 95% CI: 1.267-4.078, P=0.006), and rCBF in the internal capsule area on admission ( OR=0.672, 95% CI: 0.314-1.025, P<0.001) were independent risk factors for prognosis of patients in the study group. Conclusion:AI and ROSS-assisted ultra-early thalamic hematoma drainage is effective for elderly patients with minor TICH and severe hypoperfusion in the internal capsule area; patients with large thalamic hematoma volume, combined intraventricular hemorrhage, shunt-dependent hydrocephalus, and low rCBF in the internal capsule area on admission are prone to have a poor prognosis.

ObjectiveTo explore the potential mechanism of acupuncture with the method of soothing the liver and regulating the mind in improving depressive disorder. MethodsEighteen C57BL/6J mice were randomly divided into blank group， model group， and acupuncture group， with 6 mice in each group. The model group and the acupuncture group were subjected to depression induction by intraperitoneal injection of lipopolysaccharide （LPS）， while the blank group received an equal volume of normal saline once daily for seven consecutive days. Concurrently， the acupuncture group received "soothing the liver and regulating the mind" acupuncture intervention starting from the first day of modeling， once daily for 14 days； whereas the blank group and the model group were only restrained without acupuncture. The sucrose preference test was used to assess sucrose preference rate， the open-field test to measure center stay time and total travel distance， and the forced swim test to evaluate immobility time. Hematoxylin-eosin （HE） staining was performed to observe hippocampal morphological changes. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in hippocampal tissue. Western blot analysis was conducted to examine the protein expression levels of Toll-like receptor 4 （TLR4） and nuclear factor-κB （NF-κB） in the hippocampus. ResultsCompared to the blank group， the model group showed a significant reduction in sucrose preference rate， center stay time， and total travel distance， along with a significant increase in immobility time in the forced swim test， hippocampal IL-1β， IL-6， and TNF-α levels， as well as TLR4 and NF-κB protein expression （P＜0.01）， and the histological examination revealed blurred hippocampal neuronal boundaries， loose arrangement， and some neurons exhibiting nuclear pyknosis and deep staining. Compared to the model group， the acupuncture group demonstrated a significant increase in sucrose preference rate， center stay time， and total travel distance， along with a significant reduction in immobility time in the forced swim test， hippocampal IL-1β， IL-6， and TNF-α levels， and TLR4 and NF-κB protein expression （P＜0.01）， and the histological analysis showed that hippocampal neurons in the acupuncture group were more tightly arranged， with reduced nuclear pyknosis and deep staining. ConclusionAcupuncture with the "soothing the liver and regulating the mind" method can significantly improve depression-like behavior， potentially by inhibiting the hippocampal TLR4/NF-κB signaling pathway and alleviating inflammatory responses.

Immunogenic cell death(ICD)is a form of cell death that can activate the immune system,especially in the treatment of cancer.ICD can enhance the recognition of tumors by the immune system and the release of damage associated molecular patterns(DAMPs),to achieve tumor cell death.Oncolytic viruses(OVs)can selectively infect and kill tumor cells without damaging normal cells.OVs are type Ⅱ ICD inducers that induce ICD in tumor cells by targeting the endoplasmic reticulum.Here,we review the characteristics of ICD and the mechanism of ICD induction by OVs.We also review the latest clinical progress involving ICD and discuss future treatment strategies for tumors.

Background and purpose:Thyroid cancer is the most common malignant endocrine tumor,particularly prevalent among the Asian population.The overall survival for thyroid cancer patients is relatively high,but there are significant survival differences among patients.Based on long-term hospital-based cancer registry database,this study analyzed the 10-year observed overall survival(OS)rate of thyroid cancer cases and the distribution of causes of death,providing real-world evidences to further survival management of thyroid cancer in China.Methods:A total of 55343 thyroid cancer patients who underwent treatment at Fudan University Shanghai Cancer center from 2005 to 2021 were included in this study.Clinical information and the follow-up endpoint data were collected through medical records review,telephone visits and death registry data linkage.The last follow-up date was October 31,2024.Kaplan-Meier method was applied in evaluating the OS rate,and survival data were described by different subgroups as age group,gender,treatment period,tumor staging and pathological characteristics.The standardized mortality ratio(SMR)and absolute excess risk(AER)were calculated using general Shanghai population as the reference,and the mortality risk was described by gender,age at diagnosis and histological subtype.Results:With a median follow-up time of 63.01 months,the overall 1-,3-,5-and 10-year OS rates of thyroid cancer patients were 99.67%(95%CI:99.62%-99.72%),99.11%(95%CI:99.03%-99.19%),98.48%(95%CI:98.36%-98.60%)and 95.81%(95%CI:95.50%-96.11%),respectively.The 10-year OS rates of stage Ⅰ,Ⅱ,Ⅲ and Ⅳ were 97.99%(95%CI:97.70%-98.28%),89.80%(95%CI:87.24%-92.37%),77.84%(95%CI:70.76%-84.92%)and 62.95%(95%CI:55.37%-70.54%),respectively.The differences in OS among patients with different age,gender and histological classification were significant.1256(2.27%)deaths occurred,of which 18.63%,50.88%and 7.32%were attributable to thyroid cancer,other cancers and cardiovascular disease(CVD),respectively.Compared with the general population,patients with different subtypes of thyroid cancer had higher all-cause mortality rates,progressively increasing with papillary,follicular,medullary and anaplastic thyroid carcinoma/poorly differentiated carcinoma.Compared with general population,the death risk was 2.24 times higher in papillary thyroid cancer patients(95%CI:2.06-2.44),9.94 times higher in follicular thyroid cancer patients(95%CI:6.79-14.09),12.16 times higher in medullary thyroid cancer patients(95%CI:8.05-17.69),and the highest risk was observed in patients with anaplastic thyroid carcinoma/poorly differentiated carcinoma[SMR=79.67(95%CI:58.38-106.31),AER=766.01/1 000 person-years].Conclusion:The 10-year long survival data and cause of death for thyroid cancer patients with different histological types were reported in China based on a large single institution hospital-based cancer registry database.Staging and histological characteristics were the most important factors directly affected the survival.Early diagnosis and individualized treatment are crucial for improving prognosis.

Objective This study focuses on a tertiary public hospital in Ningxia to explore the practical application of discipline-specific research performance evaluation.To establish a performance evaluation index system tailored to the characteris-tics of tertiary public hospitals in underdeveloped regions and propose strategies for improving research performance evaluation through empirical research,thereby promoting high-quality hospital development.Methods Guided by the performance evalua-tion indicators for tertiary public hospitals and the accreditation standards for tertiary hospitals,and aligned with the hospital's o-verall work plan,a multi-dimensional and multi-level evaluation method was adopted.Following the SMART principles(Specific,Measurable,Achievable,Relevant,Time-bound)and differentiated scoring principles,research performance evaluation indica-tors were summarized,screened,and weighted.An empirical analysis of the research status of 20 disciplines from 2021 to 2024 was conducted to establish and continuously optimize a research performance evaluation index system suited to the hospital's needs.Results A research performance evaluation index system for public hospital disciplines was finalized,comprising 5 first-level indicators,14 second-level indicators,and 40 third-level indicators(22 quantitative and 18 qualitative).This system standardized the management of discipline-specific research and effectively promoted steady growth,structural adjustment,and development in hospital research.Conclusion Constructing a scientific,standardized,and operable research performance eval-uation index system is of significant importance for enhancing the research level of disciplines in public hospitals and strengthening discipline construction.

Thoracolumbar trauma, including fractures, dislocations and spinal cord injuries, often result from high-energy injuries such as traffic accidents and falls from heights. It not only causes severe pain and restricted movement for patients, but also leads to neurological damage and even permanent disability. Currently, the diagnosis and treatment of thoracolumbar trauma are faced with many problems, such as possible missed diagnosis and misdiagnosis, lack of individualized and standardized treatment plans, and lack of objective and quantitative metrics for postoperative assessment. Artificial intelligence (AI) technology offers innovative ideas to these problems. Among them, the core AI technology such as machine learning (ML), deep learning (DL), computer vision, and robotics has demonstrated outstanding capabilities in medical image analysis, clinical decision support, etc., which can significantly improve the diagnostic precision, surgical planning efficiency, and postoperative management level of thoracolumbar trauma. At present, application of AI technology in cross-modal data integration, clinical decision support, and long-term efficacy prediction in the field of thoracolumbar trauma remains to be systematically sorted out. To this end, the authors reviewed the research progress of AI technology in the diagnosis, treatment, and postoperative management of thoracolumbar trauma, providing a reference for a wide application of AI technology in the management of thoracolumbar trauma.

Immunogenic cell death(ICD)is a form of cell death that can activate the immune system,especially in the treatment of cancer.ICD can enhance the recognition of tumors by the immune system and the release of damage associated molecular patterns(DAMPs),to achieve tumor cell death.Oncolytic viruses(OVs)can selectively infect and kill tumor cells without damaging normal cells.OVs are type Ⅱ ICD inducers that induce ICD in tumor cells by targeting the endoplasmic reticulum.Here,we review the characteristics of ICD and the mechanism of ICD induction by OVs.We also review the latest clinical progress involving ICD and discuss future treatment strategies for tumors.

Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4％vs 39.6％,P＜0.05;62.5％vs 41.5％,P＜0.05;64.6％vs 43.4％,P＜0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.

Thoracolumbar trauma, including fractures, dislocations and spinal cord injuries, often result from high-energy injuries such as traffic accidents and falls from heights. It not only causes severe pain and restricted movement for patients, but also leads to neurological damage and even permanent disability. Currently, the diagnosis and treatment of thoracolumbar trauma are faced with many problems, such as possible missed diagnosis and misdiagnosis, lack of individualized and standardized treatment plans, and lack of objective and quantitative metrics for postoperative assessment. Artificial intelligence (AI) technology offers innovative ideas to these problems. Among them, the core AI technology such as machine learning (ML), deep learning (DL), computer vision, and robotics has demonstrated outstanding capabilities in medical image analysis, clinical decision support, etc., which can significantly improve the diagnostic precision, surgical planning efficiency, and postoperative management level of thoracolumbar trauma. At present, application of AI technology in cross-modal data integration, clinical decision support, and long-term efficacy prediction in the field of thoracolumbar trauma remains to be systematically sorted out. To this end, the authors reviewed the research progress of AI technology in the diagnosis, treatment, and postoperative management of thoracolumbar trauma, providing a reference for a wide application of AI technology in the management of thoracolumbar trauma.