Objective To analyze survival outcomes and influencing factors among patients with colorectal cancer in Yunnan Province. Methods Clinical data were retrospectively collected from 4 892 patients with colorectal cancer. Survival data were obtained through follow-up. Overall survival (OS) was calculated by using the Kaplan-Meier method. Univariate analysis was performed by applying the log-rank test. Meanwhile, multivariate analysis employed the Cox proportional hazards regression model. Results The 1-, 3-, 5-, and 10-year OS rates for the entire cohort were 91.90%, 74.40%, 64.40%, and 28.70%, respectively. Univariate analysis revealed that age, ethnicity, region, differentiation grade, TNM stage, clinical stage, metastatic status, histological type, and treatment modality (chemotherapy, radiotherapy, and surgery) were associated with patient prognosis (all P<0.05). Multivariate analysis identified age (HR=1.250), region (HR=1.262), differentiation grade (HR=0.761), clinical stage (HR=3.128), and treatment modality (chemotherapy, HR=0.644; radiotherapy, HR=1.605; surgery, HR=0.384) as independent factors affecting survival prognosis in patients with colorectal cancer (all P<0.001). Conclusion Age, region, clinical stage, and treatment modality are independent factors influencing survival among patients with colorectal cancer in Yunnan Province. In clinical practice, these factors should be integrated to develop individualized prevention and treatment strategies, thereby improving patient outcomes.

Objective: To review the relationship between 24 hour movement behaviors and physical and mental health among college students, in order to provide evidence to support health promotion and further research in universities. Methods: Following the Joanna Briggs Institude(JBI) scoping review guidelines, relevant studies published in databases from inception date to December 26, 2025 were searched, including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI) and Wanfang Data. For studies meeting the inclusion and exclusion criteria, a descriptive analysis was conducted to summarize the measurement tools used, adherence rates with guidelines, and the relationship between physical and mental health. Results: A total of 30 studies were included. Measurement tools exhibited a high heterogeneity, with questionnaires being the primary method. The rate of full adherence with 24 hour movement behaviors among college students was less than 30%. Moderate to vigorous physical activity and high quality sleep were associated with improvements in physical fitness, cardiopulmonary function, and mental health, while prolonged sitting was negatively associated with obesity and depression. Equivalent time substitution analysis indicated that increasing moderate to vigorous physical activity and reducing prolonged sitting could significantly improve health outcomes. Conclusions The adherence rate for 24 hour movement behaviors among college students is low and it is closely associated with physical and mental health. Future studies should standardize measurement tools, and implement targeted interventions based on the optimization of daily activity patterns.

ObjectiveTo investigate the correlation between sleep patterns and myopia progression among younger school-age children at a primary school in Changning District of Shanghai, based on the data from the Shanghai Students’ Common Diseases and Health Influencing Factors Monitoring System and a sleep-specific survey, so as to provide data support for myopia prevention and control in this age group. MethodsOne primary school was selected from the common diseases and health influencing factors monitoring system for students in Changning District, Shanghai. A total of 230 first-grade students were included in the study. Myopia and refractive parameters were examined, and sleep patterns were investigated. General demographic characteristics and myopia-related behavior data of the students were also collected. Sleep patterns were evaluated in terms of sleep duration, sleep efficiency, and sleep quality, with the latter assessed using the Chinese version of the Children’s Sleep Habits Questionnaire (CSHQ). Multiple linear regression and binary logistic regression models were used to analyze the association between sleep patterns and myopia progression among these students. ResultsThe results of the regression analyses revealed that the total CSHQ score of the students at baseline survey was (48.85±7.15) points. Their sleep efficiency was (94.49±8.48)%, sleep duration was (9.58±0.93) hours, and the proportion of those with insufficient sleep (<10 hours) was 78.26%. At baseline survey, students’ higher daytime sleepiness scores were associated with lower spherical equivalent (SE) ( β=-0.18, 95%CI: -0.31 to -0.04) and an increased risk of axial length (AL) / corneal radius (CR) ratio >3 (OR=1.52, 95%CI: 1.00 to 2.29), whereas longer sleep duration and higher sleep efficiency were associated with higher SE (β=0.18, 95%CI: 0.05 to 0.32; β=0.17, 95%CI: 0.04 to 0.31, respectively), shorter (AL) (β=-0.15, 95%CI: -0.27 to -0.03; β=-0.13, 95%CI: -0.25 to 0, respectively) and a reduced risk of AL /CR>3 (OR=0.70, 95%CI: 0.51 to 0.96; OR=0.73, 95%CI: 0.53 to 0.99, respectively). At baseline survey, children’s higher propensity for sleep problems (OR=1.70, 95%CI: 1.04 to 2.78), sleep resistance (OR=2.26, 95%CI: 1.36 to 3.75), and sleep anxiety scores (OR=2.15, 95%CI: 1.33 to 3.48) were all associated with an increased risk of AL/CR >3 at follow-up (all P<0.05). Furthermore, higher sleep anxiety scores predicted prolonged AL at follow-up (β=0.03, 95%CI: 0 to 0.05). According to the mixed-effects model, higher daytime sleepiness scores and prolonged sleep duration were independently linked to reduced right-eye SE (β=-0.05, 95%CI: -0.10 to 0, P<0.05) and shorter right-eye AL (β=-0.05, 95%CI: -0.10 to 0, P<0.05). ConclusionIn this school in Shanghai, there are problems of insufficient and poor-quality sleep among young children. Sleep problems such as sleep resistance, delayed sleep onset, sleep anxiety, and daytime sleepiness among children may accelerate the risk of myopia progression, while longer sleep duration and higher sleep efficiency may serve as protective factors against the occurrence and development of myopia.

In recent years, the integration of radiomics and artificial intelligence has brought revolutionary breakthroughs to the precise diagnosis and treatment of kidney tumors. This article systematically reviews the latest advances of radiomics in preoperative diagnosis, surgical planning, evaluation of postoperative prognosis, and prediction of treatment responses. Our findings show that radiomics models based on machine learning and deep learning can effectively distinguish benign and malignant kidney tumors, predict pathological classifications and nuclear gradings, and provide anatomical basis for the development of surgical plans. In addition, the rise of radiogenomics has revealed the association between radiomics features and molecular markers, opening up a new direction for the development of non-invasive biomarkers. However, there are still challenges such as insufficient data standardization, small sample size and model interpretability. In the future, multi-center collaboration can be achieved through federated learning, combined with multimodal data to construct dynamic prediction systems and develop interpretable artificial intelligence technology. This will promote the transformation of radiomics from scientific research to clinical applications, thus achieving precision and individualization of the entire process of diagnosis and treatment of renal tumors.

PURPOSE: To evaluate the diagnostic accuracy of the observational chart for traumatic limb swelling (OCTLS) for osteofascial compartment syndrome (OCS). METHODS: This was a descriptive-longitudinal study. Data of 316 patients who underwent surgical treatment for tibial fractures in our department from January 2015 to December 2023 were collected. Patients with Gustilo type II or higher open fractures, vascular injury, or bilateral fractures were excluded from the study. Two groups of double-blinded investigators independently assessed patients for the presence of OCS using 2 distinct diagnostic methods. Three senior orthopedic trauma surgeons evaluated patients with post-fracture calf swelling for OCS and the need for fasciotomy based on clinical signs and their extensive clinical experience. Subsequently, fasciotomy was performed according to their judgment, followed by postoperative examination of muscle and soft tissue conditions. Additionally, a follow-up evaluation was conducted to assess for complications such as ischemic muscle contracture. Another 3 trained researchers used OCTLS to grade swelling severity and determine the need for fasciotomy. The final diagnostic gold standard of OCS was determined by referring to whether there was escape of muscles at fasciotomy and/or color change in the muscles or muscle necrosis intraoperatively, and neurological abnormality or contracture at the last follow-up. The results of the 2 diagnostic methods were compared with the final diagnostic result. Kappa consistency test, paired χ² test (McNemar test), and receiver operating characteristic curve were used to evaluate the diagnostic efficacy of the 2 diagnostic methods. RESULTS: Of the 316 patients, 211 were finally included in the study, including 160 males and 51 females, with an average follow-up time of (14.5 ± 2.7) months. Among the 211 patients with tibial fracture-associated swelling, 42 were definitively diagnosed with OCS. Based on clinical symptoms and signs judgment, among the 65 fasciotomy patients, 38 were confirmed as correct, while among the 146 non-fasciotomy patients, 4 developed ischemic muscle contractures. Based on the OCTLS for assessment, fasciotomy was correctly recommended in 36 out of 43 cases, while 6 out of 168 non-fasciotomy patients developed OCS. Compared to the use of the gold standard, clinical signs judgment showed moderate consistency (McNemar's test p < 0.001, Kappa = 0.618, p < 0.001), whereas OCTLS demonstrated strong agreement (McNemar's test p = 1.000, Kappa = 0.808, p < 0.001). Receiver operating characteristic analysis revealed higher diagnostic accuracy for OCTLS (area under curve = 0.908, 95% CI: 0.843 - 0.972) compared to clinical signs judgment (area under curve = 0.872, 95% CI: 0.812 - 0.933). OCTLS achieved superior accuracy (93.8% vs. 85.3%, χ² = 8.221, p < 0.001) and a lower fasciotomy rate (20.4% vs. 30.8%, χ² = 6.023, p = 0.014). CONCLUSION Compared to clinical signs judgment, OCTLS significantly reduces unnecessary fasciotomy, improves diagnostic accuracy for OCS, and enables non-invasive, dynamic, and quantitative assessment, making it a valuable tool for clinical practice.
Humans ; Compartment Syndromes/etiology* ; Male ; Female ; Adult ; Tibial Fractures/surgery* ; Middle Aged ; Fasciotomy ; Edema/etiology* ; Longitudinal Studies ; Aged ; Young Adult

The innate immune sensor NLRP3 inflammasome overactivation is involved in the pathogenesis of ulcerative colitis. PGAM5 is a mitochondrial phosphatase involved in NLRP3 inflammasome activation in macrophages. However, the role of PGAM5 in ulcerative colitis and the mechanisms underlying PGAM5 regulating NLRP3 activity remain unknown. Here, we show that PGAM5 deficiency ameliorates dextran sodium sulfate (DSS)-induced colitis in mice via suppressing NLRP3 inflammasome activation. By combining APEX2-based proximity labeling focused on PGAM5 with quantitative proteomics, we identify NEK7 as the new binding partner of PGAM5 to promote NLRP3 inflammasome assembly and activation in a PGAM5 phosphatase activity-independent manner upon inflammasome induction. Interfering with PGAM5-NEK7 interaction by punicalagin inhibits the activation of the NLRP3 inflammasome in macrophages and ameliorates DSS-induced colitis in mice. Altogether, our data demonstrate the PGAM5-NEK7 interaction in macrophages for NLRP3 inflammasome activation and further provide a promising therapeutic strategy for ulcerative colitis by blocking the PGAM5-NEK7 interaction.

Obesity is a significant risk factor for cancer and is associated with breast cancer metastasis. Nevertheless, the mechanism by which alterations in systemic metabolism affect tumor microenvironment (TME) and consequently influence tumor metastasis remains inadequately understood. Herein, we found that perturbations in circulating metabolites induced by obesity promote metastasis-like phenotypes in breast cancer. Oleoylcarnitine (OLCarn) concentrations were elevated in the serum of obese mice and humans. Administration of exogenous OLCarn induces metastasis-like characteristics in breast cancer cells. Mechanistically, OLCarn directly interacts with the Arg176 site of adenylate cyclase 10 (ADCY10), leading to the activation of ADCY10 and enhancement of cAMP production. Mutations at Arg176 prevent OLCarn from binding to ADCY10, disrupting the ADCY10-mediated activation of cyclic adenosine monophosphate (cAMP) signaling pathway. This activation promotes transcription factor 4 (TCF4)-dependent kinesin family member C1 (KIFC1) transcription, thereby driving breast cancer metastasis. Conversely, the neutralization of both ADCY10 and KIFC1 through knockdown or pharmacological inhibition abrogates the oncogenic effects mediated by OLCarn. Hence, obesity-induced systemic environmental changes lead to the aberrant accumulation of OLCarn within the TME, making it a potential therapeutic target and biomarker for breast cancer.

Traditional funding allocation methods often only consider working hours or income ratios,making it difficult to fully measure the quality and technical complexity of medical work.Therefore,it first analyzed the difficulties in managing the cost of personnel expenses in public hospitals.Then,the limitations of two traditional allocation methods,namely the labor based econometric allocation model and the profit oriented allocation model,were analyzed.Subsequently,a work achievement sharing method based on performance bonuses in one hospital with multiple districts was proposed,which comprehensively integrates multidimensional factors such as workload,technical difficulty,surgical category,and personnel titles.The results indicate that for the allocation of personnel and hospitalization expenses,the econometric allocation model has the highest allocation ratio,which is 54.35%,Next is the profit oriented allocation model,with an allocation ratio of 30.64%.The proposed performance-based bonus based work achievement sharing method has the lowest sharing ratio of 20.55%and better reflects the quality and labor value of doctors'work.The research aims to provide reference for optimizing the cost accounting system and improving operational efficiency of public hospitals.

Objective:To analyze research hotspots and current trends in the field of general practitioner (GP) training in China through a visual analysis of relevant literature.Methods:Publications related to GP training were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biology Medicine (CBM) Database, and Chinese Medical Association Journal Database from database inception to December 31, 2024. VOSviewer and CiteSpace were used to perform co-occurrence analysis of authors and institutions, as well as co-occurrence, clustering, and burst detection analysis of keywords, with corresponding visual maps generated.Results:A total of 4 131 publications were included, with the highest annual output occurring in 2019 (305 publications). There were 259 core authors (each with ≥7 publications). A total of 3 093 institutions participated in related research, with leading institutions including Capital Medical University (140 publications), Zhongshan Hospital Affiliated with Fudan University (108 publications), Guangzhou Medical University (65 publications), and Shanghai Jiao Tong University (53 publications). Keyword co-occurrence analysis identified 189 keywords with frequency ≥10; high-frequency terms included "general practice","general practitioners","education" and "community health services". Keyword clustering revealed current research hotspots mainly focus on training models, educational reform, and training outcome evaluation. Timeline and burst detection analyses indicate that medical education and post-placement training have long been key research themes, while recent emerging topics are closely aligned with national policy initiatives related to GP training.Conclusion:Publications in the field of GP training in China have shown fluctuations, with a concentration of authors and institutions. Reforms in educational systems and policy responsiveness remain core research focuses.

Detrusor-sphincter dyssynergia (DSD) is a lower urinary tract dysfunction syndrome caused by disorders of the neural regulatory pathways for micturition. Its core feature is that the urethral sphincter fails to relax coordinately during detrusor contraction; instead, the persistent abnormal contraction leads to a series of severe complications such as dysuria, elevated intravesical pressure, and upper urinary tract damage.DSD is common in patients with central nervous system lesions, such as spinal cord injury and multiple sclerosis. This paper systematically reviews the latest research progress on the neural mechanisms of DSD, including ① loss of central regulation and excessive excitation of the spinal cord center, i.e., the loss of supraspinal inhibition leading to sacral spinal reflex hyperactivity; ② imbalance of key neurotransmitters and receptors, involving excessive glutamatergic excitation, weakened gamma-aminobutyric acid ergic/glycinergic inhibition, and the involvement of purinergic and endocannabinoid systems; ③ neuroimmunity and inflammatory response, where the activation of microglia and astrocytes after spinal cord injury releases pro-inflammatory factors, exacerbating neuronal excitability and circuit remodeling; ④ peripheral nerve and gut-bladder axis mechanisms, where sphincter structural remodeling and the gut microbiota-neuroimmunity crosstalk form a vicious cycle. The paper focuses on the sacral Onuf's nucleus as the“core hub”and key therapeutic target of DSD, discussing the central role of its dysfunction in the occurrence of synergistic disorders. In terms of therapeutic strategies, the paper summarizes existing traditional methods, such as drugs, botulinum toxin injection and neuromodulation, and envisions the cutting-edge directions of targeted intervention, such as precise strategies including gene therapy and neurotrophic support, as well as the challenges faced in clinical translation. Finally, the paper discusses the application prospects of precision medicine and artificial intelligence in the diagnosis and treatment of DSD, including precise classification based on multi-omics data, artificial intelligence-assisted recommendation of individualized treatment plans, and the development of dynamic closed-loop regulation systems. This paper aims to provide a theoretical basis and research direction for in-depth understanding of the neural mechanisms of DSD, and to promote the precise diagnosis, treatment and neural function remodeling.