As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Background Amid global climate change, extreme environmental events are occurring more frequently, and it is imperative to investigate the impacts of combined exposure to fine particluate matter (PM_2.5) and cold spells (CS) on population mortality. Objective To analyze the association between sequential extreme PM_2.5-cold spell (EP-CS) events and non-accidental mortality among residents in Zigong City from 2016 to 2021. Methods Using time-series study design, meteorological data in Zigong were collected from the Zigong Meteorological Bureau for the period from January 1, 2016 to December 31, 2021, while daily non-accidental mortality data were obtained from the mortality surveillance system of the Zigong Center for Disease Control and Prevention. We adopted the percentile method to define extreme PM_2.5 events and cold spells. We analyzed the risk effect of EP-CS events on non-accidental mortality among residents in this city and explored the potential amplification of damage resulting from different patterns of consecutive extreme events by using distributed lag nonlinear model (DLNM). We also conducted stratified analyses based on age, gender, education level, and marital status. Results The EP-CS events demonstrated a significant impact on non-accidental mortality among the local residents, exhibiting a certain lagged effect. The effects on the overall residents lasted from lag0 (RR=1.030, 95%CI: 1.013, 1.048) to lag14 (RR=1.035, 95%CI: 1.019, 1.052). Notably, the effects were more pronounced among females, individuals aged 65 years and above, and those who were never married, divorced, or widowed. Different patterns of EP-CS events all associated with adverse effects, the health impact of EP-CS events was significantly greater than that of individual PM_2.5 pollution or CS events. The analysis of lag effects across different event patterns revealed that the overall effect of EP-CS events with shorter intervals (0–7 d) had a stronger effect compared to EP-CS with longer intervals (8–14 d), and the RR values of lag14 were 1.034 (95%CI: 1.015, 1.054) and 1.017 (95%CI: 1.007, 1.027), suggesting that the damaging effect of compound events occurring in the short term was more significant. Conclusion All sequential extreme EP-CS events have an impact on non-accidental mortality among residents in this city, with compound events demonstrating a stronger effect. Females, individuals aged ≥65 years, and those who were never married, divorced, or widowed are more sensitive to EP-CS events.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Objective To investigate the role of multimodal magnetic resonance imaging(MRI)features in predicting vascular invasion and prognosis in cervical cancer.Methods A total of 180 cervical cancer patients were included in this study.According to the postoperative vascular invasion status,patients were categorized into vascular invasion-positive group(n=61)and vascular invasion-negative group(n=119).All patients underwent comprehensive MRI protocols including diffusion-weighted imaging(DWI),diffusion tensor imaging(DTI),and dynamic contrast-enhanced MRI(DCE-MRI)scans to analyze intergroup differences in imaging parameters.The diagnostic efficacy of multimodal MRI(DWI,DTI,and DCE-MRI)in detecting vascular invasion and predicting prognosis was evaluated.Results Statistically significant differences in ADCDWI were observed between vascular invasion-positive group and vascular invasion-negative group(P<0.01).The vascular invasion-positive group exhibited significantly lower ADCDTI and FA as compared with vascular invasion-negative group,accompanied by elevated Ktrans,VE,and Kep(P<0.01).Compared with survival group,non-survivor group demonstrated higher ADCDWI,Ktrans,VE and Kep,alongside lower ADCDTI and FA.The sensitivity of multimodal MRI for vascular invasion detection and mortality prediction was higher than that of unimodal detection approaches.Conclusion Multimodal MRI features have significant predictive value for vascular invasion and prognosis in cervical cancer,serving as a critical foundation for clinical decision-making.

Objective To study the relationship between the expression of long non-coding RNA lung adenocarcinoma metastasis-associated transcript 1(lncRNA MALAT1)and microRNA(miR)-181a-5p in lung adenocarcinoma tissues and the signal pathway of Janus kinase 2/signal transducer and activator of transcription 3(JAK2/STAT3),clinicopathological features and prognosis.Methods 218 patients with lung adenocarcinoma who had surgical resection at our institution between January 2018 and May 2021 had their cancer tissues and nearby normal lung tissues collected,the levels of lncRNA MALAT1,miR-181a-5p and key factors of JAK2/STAT3 signaling pathway(JAK2 mRNA,STAT3 mRNA)in lung adenocarcinoma tissues and adjacent tissues were detected by reverse transcription polymerase chain reaction(RT-PCR).The correlation between the expression levels of lncRNA MALAT1 and miR-181a-5p in cancer tissues of lung adenocarcinoma patients and the levels of key factors in JAK2/STAT3 signaling pathway were analyzed by Pearson test.The relationship between the expression levels of lncRNA MALAT1 and miR-181a-5p and the clinicopathological features of lung adenocarcinoma patients were analyzed.Patients with lung adenocarcinoma were followed up for 3 years,and their prognosis was counted,the 3-year overall survival rate of lncRNA MALAT1 and miR-181a-5p low/high expression groups were analyzed by Kaplan-Meier method.The prognostic factors were analyzed by univariate and multivariate COX risk proportional regression models.Results In lung adenocarcinoma tissues,the expression levels of lncRNA MALAT1,JAK2,and STAT3 mRNA were substantially greater(P＜0.05)than in neighboring normal lung tissues,whereas the expression level of miR-181a-5p was significantly lower(P＜0.05)in compared to nearby normal lung tissues.Pearson test results showed that,lncRNA MALAT1 was positively correlated with JAK2 and STAT3 mRNA expression levels in cancer tissues of patients with lung adenocarcinoma(P＜0.05,r=0.526、0.483),and miR-181a-5p was negatively correlated with JAK2 and STAT3 mRNA expression levels in cancer tissues of patients with lung adenocarcinoma(P＜0.05,r=-0.430、-0.493).lncRNA MALAT1 had a considerably greater expression rate and miR-181a-5p had a significantly lower expression rate in patients with TNM stage Ⅲa,lymph node metastasis and poorly differentiated lung adenocarcinoma than in patients with TNM stage Ⅰ-Ⅱ,without lymph node metastasis and moderately well differentiated lung adenocarcinoma(P＜0.05).Three patients were lost during the 3-year follow-up of 218 patients with lung adenocarcinoma,and the 3-year overall survival rate was 58.14％(125/215).The 3-year overall survival rate of the lncRNA MALAT1 high expression group was considerably lower than that of the lncRNA MALAT1 low expression group.The miR-181a-5p high expression group had a substantially greater(P＜0.05).Lymph node metastasis,TNM stage Ⅲ a,decreased expression level of miR-181a-5p,and increased expression level of lncRNA MALAT1 are risk factors for the prognosis of patients with lung adenocarcinoma(P＜0.05).Conclusion The low expression of miR-181a-5p and the high expression of lncRNA MALAT1 in lung adenocarcinoma tissues are related to TNM stage Ⅲa,lymph node metastasis and poor prognosis,which may promote the progression of lung adenocarcinoma and cause poor prognosis by activating JAK2/STAT3 signaling pathway.

Objective To study the relationship between the expression of long non-coding RNA lung adenocarcinoma metastasis-associated transcript 1(lncRNA MALAT1)and microRNA(miR)-181a-5p in lung adenocarcinoma tissues and the signal pathway of Janus kinase 2/signal transducer and activator of transcription 3(JAK2/STAT3),clinicopathological features and prognosis.Methods 218 patients with lung adenocarcinoma who had surgical resection at our institution between January 2018 and May 2021 had their cancer tissues and nearby normal lung tissues collected,the levels of lncRNA MALAT1,miR-181a-5p and key factors of JAK2/STAT3 signaling pathway(JAK2 mRNA,STAT3 mRNA)in lung adenocarcinoma tissues and adjacent tissues were detected by reverse transcription polymerase chain reaction(RT-PCR).The correlation between the expression levels of lncRNA MALAT1 and miR-181a-5p in cancer tissues of lung adenocarcinoma patients and the levels of key factors in JAK2/STAT3 signaling pathway were analyzed by Pearson test.The relationship between the expression levels of lncRNA MALAT1 and miR-181a-5p and the clinicopathological features of lung adenocarcinoma patients were analyzed.Patients with lung adenocarcinoma were followed up for 3 years,and their prognosis was counted,the 3-year overall survival rate of lncRNA MALAT1 and miR-181a-5p low/high expression groups were analyzed by Kaplan-Meier method.The prognostic factors were analyzed by univariate and multivariate COX risk proportional regression models.Results In lung adenocarcinoma tissues,the expression levels of lncRNA MALAT1,JAK2,and STAT3 mRNA were substantially greater(P＜0.05)than in neighboring normal lung tissues,whereas the expression level of miR-181a-5p was significantly lower(P＜0.05)in compared to nearby normal lung tissues.Pearson test results showed that,lncRNA MALAT1 was positively correlated with JAK2 and STAT3 mRNA expression levels in cancer tissues of patients with lung adenocarcinoma(P＜0.05,r=0.526、0.483),and miR-181a-5p was negatively correlated with JAK2 and STAT3 mRNA expression levels in cancer tissues of patients with lung adenocarcinoma(P＜0.05,r=-0.430、-0.493).lncRNA MALAT1 had a considerably greater expression rate and miR-181a-5p had a significantly lower expression rate in patients with TNM stage Ⅲa,lymph node metastasis and poorly differentiated lung adenocarcinoma than in patients with TNM stage Ⅰ-Ⅱ,without lymph node metastasis and moderately well differentiated lung adenocarcinoma(P＜0.05).Three patients were lost during the 3-year follow-up of 218 patients with lung adenocarcinoma,and the 3-year overall survival rate was 58.14％(125/215).The 3-year overall survival rate of the lncRNA MALAT1 high expression group was considerably lower than that of the lncRNA MALAT1 low expression group.The miR-181a-5p high expression group had a substantially greater(P＜0.05).Lymph node metastasis,TNM stage Ⅲ a,decreased expression level of miR-181a-5p,and increased expression level of lncRNA MALAT1 are risk factors for the prognosis of patients with lung adenocarcinoma(P＜0.05).Conclusion The low expression of miR-181a-5p and the high expression of lncRNA MALAT1 in lung adenocarcinoma tissues are related to TNM stage Ⅲa,lymph node metastasis and poor prognosis,which may promote the progression of lung adenocarcinoma and cause poor prognosis by activating JAK2/STAT3 signaling pathway.

Objective To investigate the role of multimodal magnetic resonance imaging(MRI)features in predicting vascular invasion and prognosis in cervical cancer.Methods A total of 180 cervical cancer patients were included in this study.According to the postoperative vascular invasion status,patients were categorized into vascular invasion-positive group(n=61)and vascular invasion-negative group(n=119).All patients underwent comprehensive MRI protocols including diffusion-weighted imaging(DWI),diffusion tensor imaging(DTI),and dynamic contrast-enhanced MRI(DCE-MRI)scans to analyze intergroup differences in imaging parameters.The diagnostic efficacy of multimodal MRI(DWI,DTI,and DCE-MRI)in detecting vascular invasion and predicting prognosis was evaluated.Results Statistically significant differences in ADCDWI were observed between vascular invasion-positive group and vascular invasion-negative group(P<0.01).The vascular invasion-positive group exhibited significantly lower ADCDTI and FA as compared with vascular invasion-negative group,accompanied by elevated Ktrans,VE,and Kep(P<0.01).Compared with survival group,non-survivor group demonstrated higher ADCDWI,Ktrans,VE and Kep,alongside lower ADCDTI and FA.The sensitivity of multimodal MRI for vascular invasion detection and mortality prediction was higher than that of unimodal detection approaches.Conclusion Multimodal MRI features have significant predictive value for vascular invasion and prognosis in cervical cancer,serving as a critical foundation for clinical decision-making.

Investigator initiated trial （IIT） represents a primary format for clinical research in traditional Chinese medicine （TCM）. As key implementation sites for TCM-based IIT targeting malignant tumors， western medicine institutions often face unique challenges in conducting such studies， which limit their feasibility and standardization. This paper reviews the registration status of TCM-based IIT for malignancies conducted in western medical institutions and analyzes key difficulties， including complex project initiation and management processes， limited TCM knowledge and skills among western medicine physicians， and relatively low patient acceptance of TCM. From a practical perspective， the study proposes several optimization strategies. These include improving the review and management mechanisms of TCM-related IIT within western medical institutions， establishing multidisciplinary clinical research teams that integrate TCM and western medicine， and enhancing investigators' training in TCM theory and clinical skills. Additionally， the study suggests standardizing IIT operational procedures， objectifying the collection of TCM diagnostic information， refining subject recruitment methods， and increasing TCM involvement in patient follow-up and management. These investigator-oriented， TCM-featured， and operable strategies aim to promote the high-quality development of TCM-based IIT in western medicine institutions and enhance the clinical application of TCM.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Objective:To investigate the patterns of mutation evolution in patients with acute myeloid leukemia (AML) during treatment and the possible clinical significances.Methods:A retrospective case series study was conducted. A total of 103 AML patients who were hospitalized at the Affiliated Yuebei People's Hospital of Medical College of Shantou University from November 2019 to August 2021 and underwent high-throughput next-generation sequencing (NGS) technology to detect the mutations of 128 AML-related genes in bone marrow samples were selected. Based on the NGS results, the somatic gene mutations in samples of patients collected at initial diagnosis (73 cases), complete remission (CR) (30 cases), non-remission (NR) (23 cases), and recurrence (12 cases) were analyzed, and the targeted drugs involved in the gene mutations detected in NR and recurrence samples were summarized.Results:The median age [ M ( Q1, Q3)] of onset for 103 patients was 58 (48, 66) years, including 64 males (61%) and 39 females (39%); 86 cases (83%) were primary AML, and 17 cases (17%) were secondary AML; at the initial diagnosis, 51 cases (50%) had normal karyotypes, 34 cases (33%) had abnormalities, and 18 cases (17.5%) were unknown. Compared with the CR samples, the mutation frequencies of FLT3 [29% (21/73) vs. 3% (1/30)], NPM1 [27% (20/73) vs. 3% (1/30)], NRAS [22% (16/73) vs. 3% (1/30)], and IDH2 [14% (10/73) vs. 0 (0/30)] were all higher in the initial diagnosis samples, and the differences were statistically significant (all P < 0.05); compared with the initial diagnosis sample, the median number of gene mutations in each CR sample was lower [4 (2, 5) vs. 7 (5, 9)], and the difference was statistically significant ( P < 0.001). However, there was no statistically significant difference in the median number of gene mutations in each patient between the initial diagnosis samples and the NR samples, the initial diagnosis samples and the recurrence samples, and the NR samples and the recurrence samples (all P > 0.05). Analysis of 14 patients with NGS data at initial diagnosis and CR showed that the same gene mutations could be detected at initial diagnosis and CR, such as DNAH23 (3 cases), USH2A (3 cases), etc; partial gene mutations were detected at initial diagnosis but were not detected at CR, including NRAS (5 cases), FLT3 (3 cases), ANKRD26 (3 cases), NPM1 (3 cases), ETV6 (3 cases), etc; ARID1B (1 case) and DNMT3A (1 case) were negative for mutations at initial diagnosis but positive upon reaching CR. Analysis of 14 patients with NGS data at initial diagnosis and NR showed that most gene mutations persisted at initial diagnosis and NR, such as DNMT3A (5 cases), NRAS (5 cases), KRAS (3 cases), RUNX1 (3 cases), etc; the mutant genes detected at initial diagnosis but not detected at NR included USH2A (2 cases), PCLO (2 cases), ATM (2 cases), FAT1 (2 cases), etc; partial gene mutations were not detected at initial diagnosis but were detected at NR, such as FAT1 (2 cases), TCF3 (2 cases), etc. Analysis of 5 patients with NGS data at CR and recurrence showed that some gene mutations were detected at both CR and recurrence, such as BCORL1 (1 case), ARID2 (1 case), SETD2 (1 case), VEGFC (1 case), etc; FLT1 (1 case) and GNAS (1 case) gene mutations were detected at CR but not detected at recurrence; at recurrence, some gene mutations that were not detected at CR were also detected, such as ANKRD26 (1 case), WT1 (1 case), etc. Among the 23 NR samples and 12 recurrence samples, the targets of drugs approved by US Food and Drug Administration or in clinical trials were detected in 14 (61%) and 5 (42%) samples respectively, including IDH1, IDH2, FLT3, KIT, KRAS, NRAS, SF3B1, U2AF1, and SRSF2. Conclusions:The number of gene mutations in AML patients during CR is significantly less than that at initial diagnosis, some gene mutations disappear when CR is achieved through treatment, but the majority of gene mutations persist during the treatment period, including NR and recurrence, suggesting that monitoring through NGS technology can help understand the evolution of gene mutations during AML treatment and discover the potential therapeutic targets.