Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Traditional Chinese medicine （TCM） clinical trials face challenges such as low participant compliance， insufficient geographical coverage， and cost-effectiveness imbalances. Decentralized clinical trials （DCT）， enabled by digital technology for remote data collection and monitoring， offer a new direction for TCM clinical trial research. This article systematically reviews three novel clinical trial design models. Combining the holistic concept and indivi-dualized treatment characteristics of TCM， it analyzes the challenges currently faced in TCM DCT practice， including the digitization and standardization of TCM theory， data security， privacy protection and patient engagement difficu-lties， insufficient ethical review and regulatory system adaptation， inadequate personnel training， and a shortage of interdisciplinary talent. Addressing these challenges， the article proposes methodological recommendations for DCT implementation that align with the principles of TCM diagnosis and treatment. These recommendations include promoting the intelligentization and standardization of TCM practices， constructing a full-chain data security and privacy protection system， improving the ethical framework and clarifying regulatory responsibilities， and cultivating and building interdisciplinary talent and capabilities， which provide theoretical and technical references for establishing standardized DCT practices in TCM.

Objective: To investigate the effects of clinical routine X-ray irradiation dose (average irradiation dose: 29.7±0.54 Gy) on the function, apoptosis, activation state and mitochondrial function of platelets during in vitro storage, so as to provide experimental evidence for optimizing platelet irradiation strategies. Methods: A paired experimental design was adopted. Platelets were collected from 12 healthy donors, and each sample was equally divided into the irradiated group and the control group (non-irradiated). All samples were stored for 5 days under standard platelet preservation conditions (22±2℃, continuous oscillation). Flow cytometry was used to detect platelet count, apoptosis rate (Annexin V+ positive rate), activation markers (CD62P, PAC-1, CD42b) and reactive oxygen species (ROS) level. Meanwhile, mitochondrial-specific probes were used to evaluate changes in mitochondrial count, membrane potential and adenosine triphosphate (ATP) content. Additionally, transmission electron microscopy (TEM) was employed to observe the ultrastructure of platelets, with a focus on mitochondrial morphology, platelet membrane integrity and granule distribution. Results: Within 5 days of storage, the platelet count was (841±89.16)×10 /L in the irradiated group and (824.5±92.88)×10 /L in the control group, with no statistically significant difference between the two groups (P=0.54). The apoptosis rate was (4.94±1.39) % in the irradiated group and (5.50±0.83) % in the control group, showing no significant difference (P=0.31). For activation indicators, the CD62P expression rate was (24.32±7.57) % in the irradiated group versus (25.21±8.13) % in the control group (P=0.43). The PAC-1 positive rates were (12.15±4.43) % and (11.75±3.40) % in the irradiated group and control group, respectively (P=0.44). The CD42b expression rates were (12.14±4.43) % and (11.75±3.4) % in the two groups, respectively (P=0.47). The ROS levels were (31.98±8.1) % and (30.64±5.89) % in the two groups, respectively (P=0.45). No significant differences were found in the above indicators. For mitochondrial function indicators, the mitochondrial count was (55.88±11.49) % in the irradiated group and (53.5±7.24) % in the control group (P=0.57). The ATP contents were (42.45±5.29) % and (41.58±9.50) % in the irradiated group and control group, respectively (P=0.77). The relative membrane potential values were (59.53±10.89) % and (57.49±6.54) % in the two groups, respectively (P=0.47). No significant difference were observed on the mitochondrial function-related indicators. TEM further confirmed that the ultrastructure of platelets in the irradiation group was intact, the mitochondrial morphology was normal, and no pathological changes such as swelling or vacuolization were observed. Conclusion: This study evaluated the impact of conventional-dose X-ray irradiation on platelet storage quality, confirming that this dose does not significant impair platelet count, apoptosis rate, activation status, or mitochondrial function. This finding provides important experimental evidence for the clinical promotion of X-ray irradiation technology and suggests its potential as a safe alternative to γ irradiation. Future studies could further expand the sample size and extend the observation period to verify the effects of X-ray irradiation on long-term platelet storage and post-transfusion in vivo survival rate.

Thyroid-associated ophthalmopathy(TAO)is a common autoimmune complication in thyroid diseases. Its pathogenesis is complex and involves the abnormal activation of multiple signaling pathways. With the rapid development of molecular biology and genomics technologies, the signal transduction mechanisms and regulatory networks related to TAO have been deeply analyzed. At present, studies have found that the interaction between the TSH receptor(TSHR)and the insulin-like growth factor-1 receptor(IGF-1R)signaling pathway, as well as immune inflammation-related pathways, oxidative stress, and calcium signaling pathways, play important roles in the pathogenesis of TAO. In addition, the research on the regulatory mechanism of non-coding RNA and fibrosis-related signaling molecules has gradually become the focus. Despite much advancement, there are still many unsolved mysteries regarding the exact pathogenesis of TAO. This article aims to systematically review the latest research progress of the main signaling pathways of TAO. By combining the latest achievements in gene expression profiles, single-cell sequencing and drug design, it analyzes potential therapeutic targets and the development directions of innovative drugs, providing a theoretical basis for the pathological mechanism of TAO and a scientific basis for the optimization of clinical treatment strategies at the same time.

AIM:To investigate the predictive value of central corneal thickness(CCT)and coefficient of variation(CV)of endothelial cell area for secondary glaucoma in patients with uveitis.METHODS: A retrospective study was conducted on uveitis patients admitted to our hospital from July 2023 to April 2025. Based on the occurrence of secondary glaucoma, patients were divided into an occurrence group and a non-occurrence group, and the clinical data of the two groups were compared. Univariate and multivariate Logistic regression analyses were performed to screen for factors affecting poor prognosis. The predictive value of CCT and CV for secondary glaucoma in patients with uveitis was analyzed using receiver operating characteristic(ROC)curves.RESULTS: A total of 100 uveitis patients(100 eyes)were included and categorized into an occurrence group(16 cases, 16 eyes)and a non-occurrence group(84 cases, 84 eyes), there were 9 males and 7 females in the occurrence group, with a mean age of 45.25±10.32 years, and there were 40 males and 44 females in the non-occurence group, with a mean age of 43.89±12.47 years. The CCT in the occurrence group was significantly lower than that in the non-occurrence group, while the CV was significantly higher than that in the non-occurrence group(both P<0.001). Multivariate Logistic regression analysis showed that CCT was a protective factor, and CV was a risk factor for secondary glaucoma in patients with uveitis(both P<0.01). The areas under the ROC curve(AUC)for CCT and CV in predicting secondary glaucoma were 0.794 and 0.792, respectively. The combined predictive model yielded an AUC of 0.888, with a sensitivity of 98.15% and a specificity of 67.74%, demonstrating good predictive efficacy.CONCLUSION: CCT and CV have certain clinical value in predicting secondary glaucoma in uveitis patients. The combined diagnostic approach demonstrates higher efficacy and serves as an auxiliary indicator for assessing the risk of secondary glaucoma in patients with uveitis, allowing for targeted clinical prevention and treatment measures.

Medical humanities consistently run through the entire process of medical development and educational reform. However， with the increasingly prominent dominance of evidence-based medicine in clinical practice， the medical humanities have gradually been weakened in both medical education and clinical practice. Narrative medicine， through telling and listening to patients’ stories， enhances healthcare professionals’ empathy， fosters doctor–patient communication， and facilitates a return to the humanistic essence of medical education and clinical practice. By sorting out and reviewing related literature and developmental trends both at home and abroad， this paper pointed out the existing structural problem of an imbalance between technological priority and humanistic care in medical education， focusing on how to achieve an effective integration of medical humanities and narrative medicine in medical education. This paper also systematically analyzed the significance of both medical humanities and narrative medicine in the medical education system and proposed promoting the deep embedding of narrative medicine in medical education from three entry points， namely， curriculum integration， interdisciplinary collaboration， and the construction of teaching evaluation systems. The aim was to provide theoretical support and practical experience for medical education reform， foster the coordinated development of professional competence and humanistic spirit among medical talents， and truly achieve the goal of cultivating well-rounded medical talents.

While cranial radiotherapy effectively kills tumor cells and significantly prolongs patient survival, it often leads to progressive cognitive decline. To date, the specific mechanisms underlying radiation-induced cognitive decline have not been fully elucidated, which greatly limits the development of related therapeutic strategies. Therefore, this article provides a comprehensive analysis of post-radiation changes in neurogenesis, neuronal synaptic plasticity, myelin injury plasticity, and parenchymal cells such as microglia in the brain, systematically elucidates the potential mechanisms of radiation-induced cognitive decline, and summarizes feasible therapeutic approaches. These findings provide a solid foundation for developing novel strategies to mitigate radiation-induced cognitive decline.

Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

Background Frailty serves as a significant precursor to falls, disability, and mortality. Epidemiological evidence examining the impact of working hours on frailty remains scarce. Objective To explore the prevalence of frailty and the relationship between frailty and working hours among full-time middle-aged and older workers in China. Methods Data were derived from the 2020 China Health and Retirement Longitudinal Study (CHARLS). The study included full-time workers aged 45 years and above with a weekly working duration exceeding 35 h. Frailty was assessed using the Frailty Index (FI). First, the dose-response relationship between working hours and FI was explored using a generalized additive model (GAM). Second, univariate analyses were performed using t-tests, χ² tests, and the Jonckheere–Terpstra trend test. Restricted cubic splines (RCS) were introduced for modeling. Based on ordinal logistic regression models, covariates were adjusted sequentially to examine whether differences in frailty prevalence existed across different weekly working hour categories. Finally, subgroup analyses were performed. Results Among the 5504 included participants, the mean age was (56.41±7.30) years, with 2304 being female (41.86%). A total of 807 participants (14.66%) were identified as frail, and 2 686 participants (48.80%) were pre-frail. After standardization for gender and age according to the seventh national census data, the standardized prevalence of frailty and prefrailty were 18.89% and 47.25%, respectively. Significant higher proportions of frail individuals were found among those in non-managerial (73.73%), agricultural (64.06%), and non-employed (65.68%) occupations. Long working hours were prevalent: 2596 (47.17%) workers worked 41–60 h per week, 1649 (29.96%) worked >60 h per week, and only 1259 (22.87%) worked 35–40 h per week. GAM analysis showed a non-linear relationship between weekly working hours and FI. Restricted cubic spline analysis showed a statistically significant association between weekly working hours and frailty status (P=0.022). Logistic regression analysis revealed that individuals working more than 60 h per week had a 23% higher odds of frailty compared to those working 41–60 h (OR=1.23, 95%CI: 1.09, 1.38, P<0.01), while those working 35–40 h per week showed a 15% higher odds of frailty (OR=1.15, 95%CI: 1.01, 1.31, P=0.034). The subgroup analysis revealed that the positive association between working more than 60 h per week and frailty remained generally consistent across sex, age, urban/rural residence, occupational attributes, industry, or employment type, although the association did not reach statistical significance among non-rural residents and individuals aged 60 years and older. Conclusion The prevalence of frailty among full-time middle-aged and older labor force in China is relatively high, and the odds of frailty increases significantly among those who work more than 60 h per week. It is recommended to implement frailty prevention and management strategies targeting long-working-hour workers and to prioritize the impact of working duration on frailty.