Objective:Drug safety assessments based on real-world data are often challenged by both treatment switching and rare events. In this study, we used statistical simulations to investigate the effects of switching rates and treatment effects on the statistical performance of commonly used analytical strategies and methods under overlapping scenarios of treatment switching and rare events.Methods:The simulation scenario was set up as a bidirectional treatment switching (allowing the control group to switch to the treatment group and the treatment group to switch to the control group), and the event rates were set at approximately 2%, 5%, and 20%. Different simulation scenarios were generated with sufficient sample size to consider switching rate and relative treatment effect. The simulated datasets were analyzed using three types of analysis strategy, i.e. intention to treat (ITT), per protocol (PP), and as treated (AT). The performance of five indicators, namely percentage bias, mean square error, empirical standard error, coverage, and rejection rate, were compared among the different methods in different scenarios, and recommendations for method selection were given.Results:In terms of analytical strategies and methods, AT analysis were relatively optimal in terms of percentage bias and accuracy, followed by PP analysis and ITT analysis. When the relative treatment effects converged (e.g. HR=1.0), both the ITT analysis and the time-dependent AT approaches (marginal structural model, time-dependent Cox regression model or time-dependent propensity score matching) performed well; when the relative treatment effects were small (e.g. HR=0.8), the marginal structural model was the most optimal; when the relative treatment effects were large (e.g. HR=0.6 or 0.4), the approaches of using a censored treatment for switchers in the AT analysis were more accurate. In addition, the time-dependent AT approaches had the highest rejection rate when there was a difference in treatment effect between the two groups, and the ITT analysis had the lowest rejection rate. Conclusions:For the dual challenges of bidirectional switching and rare events in real-world drug safety evaluations, adequate sample size is a prerequisite for accurate estimation of treatment effects, while switching rates and effect sizes of switched drugs might also affect estimation accuracy. Appropriate strategies and methods should be selected for the analysis. It is necessary to consider whether the event is rare or not, the switching rate and the expected treatment effect size of the two types of treatment to select appropriate analysis strategies and methods.

[Objective]From the perspective of the analogy and metaphorical thinking,to explore YE Tianshi's characteristics in syndrome differentiation,treatment and medication in his work Case Records as A Guide to Clinical Practice.[Methods]The connotations of analogical and metaphorical thinking are discussed based on Yi·Xici(The Book of Changes)and Huangdi Neijing(The Yellow Emperor's Inner Canon).By studying Case Records as A Guide to Clinical Practice,the study analyzes disease mechanisms by referring to Five Movements and Six Qi,establishes therapeutic principles and methods by referring to organs and body functions,and guides medication by considering the"form"and"properties"of herbs.The influence of constitution and seasons on diagnosis and treatment is also considered.By employing research methods such as literature review and case analysis,particular attention is given to how YE Tianshi utilized analogy and metaphorical thinking to guide medication and treatment during the diagnostic process.[Results]The philosophical connotation of the concept of the analogy and metaphorical thinking mainly refers to the relationship of imitation among things.In traditional Chinese medicine,it can be divided into three categories:classification based on imitation,analogy based on imitation and interpretation of the Tao based on imitation.YE Tianshi applied analogy and metaphorical thinking clinically by referring Qi in analyzing disease mechanisms,referring to organs and body functions when establishing treatment principles,and using the"form"and"properties"of herbs to guide medication.He also emphasized constitution-based syndrome differentiation and seasonal treatments,highlighting the influence of the"harmony between heaven and humans"on human health.[Conclusion]In-depth study of YE Tianshi's application of analogy and metaphorical thinking in syndrome differentiation,treatment and medication can help better understand and apply analogy and metaphorical thinking,guiding modern traditional Chinese medicine clinical practice.

The cellular and molecular components of the tumor immune microenvironment (TIME) and their information exchange processes significantly influence the trends of anti-tumor immunity. In recent years, numerous studies have begun to evaluate TIME in the context of previous cancer treatment strategies. This review will systematically summarize the compositional characteristics of TIME and, based on this foundation, explore the impact of current cancer therapies on the remodeling of TIME, aiming to provide new insights for the development of innovative immune combination therapies that can convert TIME into an anti-tumor profile.
Tumor Microenvironment/immunology* ; Humans ; Neoplasms/therapy* ; Immunotherapy/methods* ; Animals

Objective:To investigate the risk factors for dural tears in patients with thoracolumbar burst fracture (TLBF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 135 TLBF patients admitted to Tianjin Fifth Central Hospital from March 2020 to February 2025, including 83 males and 52 females, aged 16-65 years [41(31, 50)years]. Among them, 31 patients had thoracic fracture and 104 lumbar fracture. The patients were divided into dural tear group ( n=82) and dural intact group ( n=53) based on the presence of dural tear. The following data of the two groups were collected including gender, age, underlying diseases, body mass index (BMI), bone density T-score, cause of injury, AO fracture classification, distribution of injured vertebrae, vertical laminar fracture (VLF) classification, radiological parameters (pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate), and American Spinal Injury Association (ASIA) impairment scale. Univariate analysis and multivariate Logistic regression analysis were conducted to assess and identify the independent risk factors for dural tears in TLBF patients. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive efficacy of each independent risk factor. Results:Univariate analysis showed statistically significant differences in VLF classification, pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate, and ASIA impairment scale between the two groups ( P<0.05). Multivariate Logistic regression analysis revealed that VLF classification ( OR=4.16, 95% CI 1.03, 11.46, P<0.05), pedicle spacing ( OR=1.08, 95% CI 0.81, 1.16, P<0.05), and ASIA impairment scale ( OR=3.06, 95% CI 2.00, 8.48, P<0.01) were significantly associated with dural tears in TLBF patients. ROC curve analysis showed that VLF classification (AUC=0.86, 95% CI 0.62, 0.95), pedicle spacing (AUC=0.86, 95% CI 0.77, 1.00), and ASIA impairment scale (AUC=0.76, 95% CI 0.74, 0.97) had relatively high predictive efficacy for dural tear. The combination of VLF classification and pedicle spacing had the highest predictive efficacy (AUC=0.89, 95% CI 0.78, 1.01). Conclusions:VLF classification, pedicle spacing, and ASIA impairment scale are independent risk factors for dural tears in TLBF patients. VLF classification and pedicle spacing have relatively high independent predictive efficacy and their combination can further improve the predictive efficacy.

Objective:Drug safety assessments based on real-world data are often challenged by both treatment switching and rare events. In this study, we used statistical simulations to investigate the effects of switching rates and treatment effects on the statistical performance of commonly used analytical strategies and methods under overlapping scenarios of treatment switching and rare events.Methods:The simulation scenario was set up as a bidirectional treatment switching (allowing the control group to switch to the treatment group and the treatment group to switch to the control group), and the event rates were set at approximately 2%, 5%, and 20%. Different simulation scenarios were generated with sufficient sample size to consider switching rate and relative treatment effect. The simulated datasets were analyzed using three types of analysis strategy, i.e. intention to treat (ITT), per protocol (PP), and as treated (AT). The performance of five indicators, namely percentage bias, mean square error, empirical standard error, coverage, and rejection rate, were compared among the different methods in different scenarios, and recommendations for method selection were given.Results:In terms of analytical strategies and methods, AT analysis were relatively optimal in terms of percentage bias and accuracy, followed by PP analysis and ITT analysis. When the relative treatment effects converged (e.g. HR=1.0), both the ITT analysis and the time-dependent AT approaches (marginal structural model, time-dependent Cox regression model or time-dependent propensity score matching) performed well; when the relative treatment effects were small (e.g. HR=0.8), the marginal structural model was the most optimal; when the relative treatment effects were large (e.g. HR=0.6 or 0.4), the approaches of using a censored treatment for switchers in the AT analysis were more accurate. In addition, the time-dependent AT approaches had the highest rejection rate when there was a difference in treatment effect between the two groups, and the ITT analysis had the lowest rejection rate. Conclusions:For the dual challenges of bidirectional switching and rare events in real-world drug safety evaluations, adequate sample size is a prerequisite for accurate estimation of treatment effects, while switching rates and effect sizes of switched drugs might also affect estimation accuracy. Appropriate strategies and methods should be selected for the analysis. It is necessary to consider whether the event is rare or not, the switching rate and the expected treatment effect size of the two types of treatment to select appropriate analysis strategies and methods.

Objective To investigate the relationship between vertical laminar fracture(VLF)in thoracolumbar burst fractures and both neurological injury and dural tear.Methods A retrospective analysis was conducted on the clinical data and multi spiral computed tomography(MSCT)coronal images of 255 patients of thoracolumbar burst fractures.The patients were divided into three groups based on the presence of VLF[Ⅰ group(complete VLF group),Ⅱ group(partial VLF group),and Ⅲ group(normal lamina group)].Statistical analysis was performed using analysis of variance and Fisher's exact test to compare radiological parameters,inci-dence of dural tear,and neurological injury among the groups.Results The Ⅰ group showed significant differences in spinal canal sagittal diameter,pedicle distance,and spinal canal area compared with the other two groups(P<0.05).However,there was no sig-nificant difference in vertebral body compression rate between the Ⅰ group and the Ⅱ group(P>0.05).The Ⅰ group had the high-est incidence of severe neurological injury[American Spinal Injury Association(ASIA)impairment scale grades A and B]and dural tear(P<0.05).Conclusion The severity of VLF is closely related to dural tear and neurological injury.MSCT coronal images can clearly display the extent of VLF,providing an important basis for clinical evaluation and treatment plan.

[Objective]From the perspective of the analogy and metaphorical thinking,to explore YE Tianshi's characteristics in syndrome differentiation,treatment and medication in his work Case Records as A Guide to Clinical Practice.[Methods]The connotations of analogical and metaphorical thinking are discussed based on Yi·Xici(The Book of Changes)and Huangdi Neijing(The Yellow Emperor's Inner Canon).By studying Case Records as A Guide to Clinical Practice,the study analyzes disease mechanisms by referring to Five Movements and Six Qi,establishes therapeutic principles and methods by referring to organs and body functions,and guides medication by considering the"form"and"properties"of herbs.The influence of constitution and seasons on diagnosis and treatment is also considered.By employing research methods such as literature review and case analysis,particular attention is given to how YE Tianshi utilized analogy and metaphorical thinking to guide medication and treatment during the diagnostic process.[Results]The philosophical connotation of the concept of the analogy and metaphorical thinking mainly refers to the relationship of imitation among things.In traditional Chinese medicine,it can be divided into three categories:classification based on imitation,analogy based on imitation and interpretation of the Tao based on imitation.YE Tianshi applied analogy and metaphorical thinking clinically by referring Qi in analyzing disease mechanisms,referring to organs and body functions when establishing treatment principles,and using the"form"and"properties"of herbs to guide medication.He also emphasized constitution-based syndrome differentiation and seasonal treatments,highlighting the influence of the"harmony between heaven and humans"on human health.[Conclusion]In-depth study of YE Tianshi's application of analogy and metaphorical thinking in syndrome differentiation,treatment and medication can help better understand and apply analogy and metaphorical thinking,guiding modern traditional Chinese medicine clinical practice.

Objective To investigate the relationship between vertical laminar fracture(VLF)in thoracolumbar burst fractures and both neurological injury and dural tear.Methods A retrospective analysis was conducted on the clinical data and multi spiral computed tomography(MSCT)coronal images of 255 patients of thoracolumbar burst fractures.The patients were divided into three groups based on the presence of VLF[Ⅰ group(complete VLF group),Ⅱ group(partial VLF group),and Ⅲ group(normal lamina group)].Statistical analysis was performed using analysis of variance and Fisher's exact test to compare radiological parameters,inci-dence of dural tear,and neurological injury among the groups.Results The Ⅰ group showed significant differences in spinal canal sagittal diameter,pedicle distance,and spinal canal area compared with the other two groups(P<0.05).However,there was no sig-nificant difference in vertebral body compression rate between the Ⅰ group and the Ⅱ group(P>0.05).The Ⅰ group had the high-est incidence of severe neurological injury[American Spinal Injury Association(ASIA)impairment scale grades A and B]and dural tear(P<0.05).Conclusion The severity of VLF is closely related to dural tear and neurological injury.MSCT coronal images can clearly display the extent of VLF,providing an important basis for clinical evaluation and treatment plan.

Objective:To investigate the risk factors for dural tears in patients with thoracolumbar burst fracture (TLBF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 135 TLBF patients admitted to Tianjin Fifth Central Hospital from March 2020 to February 2025, including 83 males and 52 females, aged 16-65 years [41(31, 50)years]. Among them, 31 patients had thoracic fracture and 104 lumbar fracture. The patients were divided into dural tear group ( n=82) and dural intact group ( n=53) based on the presence of dural tear. The following data of the two groups were collected including gender, age, underlying diseases, body mass index (BMI), bone density T-score, cause of injury, AO fracture classification, distribution of injured vertebrae, vertical laminar fracture (VLF) classification, radiological parameters (pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate), and American Spinal Injury Association (ASIA) impairment scale. Univariate analysis and multivariate Logistic regression analysis were conducted to assess and identify the independent risk factors for dural tears in TLBF patients. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive efficacy of each independent risk factor. Results:Univariate analysis showed statistically significant differences in VLF classification, pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate, and ASIA impairment scale between the two groups ( P<0.05). Multivariate Logistic regression analysis revealed that VLF classification ( OR=4.16, 95% CI 1.03, 11.46, P<0.05), pedicle spacing ( OR=1.08, 95% CI 0.81, 1.16, P<0.05), and ASIA impairment scale ( OR=3.06, 95% CI 2.00, 8.48, P<0.01) were significantly associated with dural tears in TLBF patients. ROC curve analysis showed that VLF classification (AUC=0.86, 95% CI 0.62, 0.95), pedicle spacing (AUC=0.86, 95% CI 0.77, 1.00), and ASIA impairment scale (AUC=0.76, 95% CI 0.74, 0.97) had relatively high predictive efficacy for dural tear. The combination of VLF classification and pedicle spacing had the highest predictive efficacy (AUC=0.89, 95% CI 0.78, 1.01). Conclusions:VLF classification, pedicle spacing, and ASIA impairment scale are independent risk factors for dural tears in TLBF patients. VLF classification and pedicle spacing have relatively high independent predictive efficacy and their combination can further improve the predictive efficacy.

Background::The conversion of adenosine (A) to inosine (I) through deamination is the prevailing form of RNA editing, impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species. Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases, providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets. However, the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.Methods::We downloaded RNA sequencing (RNA-seq) data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database, and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used. We performed sequence alignment, identified RNA editing sites, and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.Results::We established a new database, "REDH", represents RNA editome in hematopoietic differentiation and malignancy. REDH is a curated database of associations between RNA editome and hematopoiesis. REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts (human). Through the Differentiation, Disease, Enrichment, and knowledge modules, each A-to-I editing site is systematically integrated, including its distribution throughout the genome, its clinical information (human sample), and functional editing sites under physiological and pathological conditions. Furthermore, REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.Conclusions::REDH is accessible at http://www.redhdatabase.com/. This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies. It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.