ObjectiveTo observe the short-term and long-term efficacy of traditional Chinese medicine （TCM） surgical operations in treating mixed hemorrhoids. MethodsA multi-center retrospective cohort study was conducted， collecting clinical data from 17，831 mixed hemorrhoid surgery patients in 8 top-tier TCM hospitals in Jiangsu Province. Standardized and structured datasets were obtained through artificial intelligence models. Patients who underwent western surgical treatment were categorized into the western surgery group （11,646 cases）， and those receiving TCM surgical operations were categorized into the TCM surgery group （6185 cases）. Propensity score matching （1∶1 matching） was used to balance baseline data between groups. The primary outcome was the one-year recurrence rate， and secondary outcomes included the main symptoms （rectal bleeding， degree of prolapse） and secondary symptoms （anal distension， anal edema， wound secretion and exudation， anal stenosis， residual skin tags， perianal itching， and anal pain） measured on days 7， 28， and 60 after discharge. ResultsAfter matching， 2194 patients were included in each group. Symptom scores showed that at 28 days after discharge， the TCM surgical group had superior improvement in rectal bleeding ［OR=5.786， 95%CI （3.092，10.827）］， degree of prolapse ［OR=4.510， 95%CI （1.649，12.333）］， and anal edema ［OR=3.188， 95%CI （1.295，7.845）］ compared to the western surgical group. At 60 days post-discharge， the TCM group still showed advantages in improving rectal bleeding ［OR=5.237， 95%CI （1.077，25.464）］ and anal pain ［OR=11.697， 95%CI （1.186，115.336）］ （P＜0.05）. Long-term follow-up showed that the one-year recurrence rate in the TCM surgery group was 1.1% （8/726）， while that in the western surgery group was 2.3% （10/444）， with no statistically significant difference between the two groups （P＞0.05）. ConclusionBased on real-world data， TCM surgical treatment for mixed hemorrhoids shows significant short-term symptom improvement， particularly in terms of hemostasis， reducing swelling， and alleviating prolapse of anal masses.

ObjectiveTo develop a standardized classification model for traditional Chinese medicine （TCM） syndrome patterns of mixed hemorrhoids using multi-center real-world data， and unveil their distribution patterns and core risk factors， thereby providing evidence-based support for standardizing TCM syndrome differentiation and implementing precision interventions. MethodsA multi-center cross-sectional study was conducted， enrolling 13 283 mixed hemorrhoid patients from eight hospitals in Jiangsu Province between September 1st， 2023 and December 31st， 2024. DeepSeek-R1-Distill-Qwen-7B and LLaMA-3.3 large language models （LLM） were integrated with latent class analysis （LCA） to perform unsupervised learning and latent class modeling of TCM symptomatology. Potential risk factors were screened via univariate analysis， followed by logistic regression to identify independent risk factors for each syndrome pattern. ResultsThe model's performance indicators were stable and reliable across different clinical data types，i.e. in the outpatient records， past medical history （F1=99.7%）， current medical history （F1=94.9%）， and specialist examination （F1=90.7%）； in inpatient records， past medical history （F1=98.2%）， current medical history （F1=91.2%）， specialist examination （F1=90.3%）， and discharge status （F1=90.6%）. Latent class mode-ling identified four core TCM syndrome patterns including spleen deficiency and qi sinking syndrome （915 cases， 6.89%）， damp-heat pouring downward syndrome （10 820 cases， 81.46%）， qi stagnation and blood stasis syndrome （1252 cases， 9.43%）， and wind injuring intestinal collaterals syndrome （296 cases， 2.22%）， with respective latent class probabilities of 0.069， 0.815， 0.094， and 0.022. Logistic regression demonstrated that gender， age， disease duration， hypertension， diabetes， hyperlipidemia， constipation， smoking history， and alcohol consumption were independent risk factors for pattern differentiation （P＜0.05）. The efficacy validation evaluation revealed that the cure rates for patients with spleen deficiency and qi sinking syndrome and qi stagnation and blood stasis syndrome were higher than those for patients with damp-heat pouring downward syndrome （adjusted P＜0.05）， with no statistically significant differences among other syndrome patterns. ConclusionDamp-heat pouring downward syndrome is the predominant syndrome in mixed hemorrhoids. Gender， age， disease duration， hypertension， diabetes， hyperlipi-demia， constipation， smoking history， and alcohol consumption are independent risk factors for the differentiation of syndrome types.

This paper has constructed a traditional Chinese medicine （TCM） specialized disease dataset platform for mixed hemorrhoids based on a multimodal large model， and the preliminary application has been validated. The platform uses StarRocks to establish a four-level data warehouse system， enabling the aggregation， cleaning， and standardization of multi-source heterogeneous data. Using DeepSeek-R1-Distill-Qwen-7B as the base model， domain fine-tuning is performed through low-rank adaptation （LoRA） technology. Combined with LLaMA-3.3 natural language processing and reasoning chain techniques， the platform enables intelligent parsing and structured extraction of unstructured TCM medical records. It accurately identifies six major categories and 28 subcategories of entities， including symptoms and syndromes， with a fine-tuned model F1 score of 93.8%. The platform has established a high-quality specialized disease dataset containing more than 50,000 medical records and has been applied in a real-world study involving 17,831 patients， preliminarily verifying the efficacy of TCM heritage surgery.

Objective To investigate the influencing factors for hemorrhagic transformation （HT） after intravenous thrombolysis （IVT） in patients with acute ischemic stroke （AIS） in plateau areas. Methods A retrospective analysis was performed for AIS patients who were admitted to our hospital from February 2019 to April 2024 and received IVT with urokinase or recombinant tissue plasminogen activator， and according to the presence or absence of HT after IVT， they were divided into HT group and non-HT group. The multivariate Logistic regression analysis was used to investigate the independent risk factors for HT after IVT in AIS patients. Results A total of 437 AIS patients who underwent IVT were included in this study， among whom 45 （10.3%） experienced HT. There were significant differences between the HT group and the non-HT group in the proportion of patients with a past history of atrial fibrillation， systolic blood pressure on admission， NIHSS score before thrombolysis， neutrophil-to-lymphocyte ratio （NLR）， and blood glucose before thrombolysis （all P<0.05）. The above factors were included in a multivariate logistic regression model， and the results showed that blood glucose on admission（OR=1.122，95%CI 1.007~1.251，P<0.05） and history of atrial fibrillation （OR=3.896，95%CI 1.632~9.303，P<0.05）were independent risk factors for HT after IVT. Conclusion History of atrial fibrillation， systolic blood pressure on admission， NIHSS score before thrombolysis， blood glucose level on admission， and NLR level before treatment are influencing factors for HT after IVT in AIS patients in plateau areas， among which history of atrial fibrillation and blood glucose level before thrombolysis are independent risk factors.

Animal experiments are an essential component of life sciences and medical research. However, the external validity and reliability of individual animal studies are frequently challenged by inherent limitations such as small sample sizes, high design heterogeneity, and poor reproducibility, which impede the effective translation of research findings into clinical practice. Systematic reviews and meta-analysis represent a key methodology for integrating existing evidence and enhancing the robustness of conclusions. Currently, however, the application of systematic reviews and meta-analysis in the field of animal experiments lacks standardized guidelines for their conduct and reporting, resulting in inconsistent quality and, to some extent, diminishing their evidence value. To address this issue, this paper aims to systematically delineate the reporting process for systematic reviews and meta-analysis of animal experiments and to propose a set of standardized recommendations that are both scientific and practical. The article's scope encompasses the entire process, from the preliminary preparatory phase [including formulating the population， intervention， comparison and outcome （PICO） question, assessing feasibility, and protocol pre-registration] to the key writing points for each section of the main report. In the core methods section, the paper elaborates on how to implement literature searches, establish eligibility criteria, perform data extraction, and assess the risk of bias, based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis （PRISMA) statement, in conjunction with relevant guidelines and tools such as Animal Research： Reporting of in Vivo Experiments （ARRIVE) and a risk of bias assessment tool developed by the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE). For the presentation of results, strategies are proposed for clear and transparent display using flow diagrams and tables of characteristics. The discussion section places particular emphasis on how to scientifically interpret pooled effects, thoroughly analyze sources of heterogeneity, evaluate the impact of publication bias, and cautiously discuss the validity and limitations of extrapolating findings from animal studies to clinical settings. Furthermore, this paper recommends adopting the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to comprehensively grade the quality of evidence. Through a modular analysis of the entire reporting process, this paper aims to provide researchers in the field with a clear and practical guide, thereby promoting the standardized development of systematic reviews and meta-analysis of animal experiments and enhancing their application value in scientific decision-making and translational medicine.

Malignant tumor is a serious and difficult disease threatening human health， which has a high morbidity and mortality rate worldwide. Traditional Chinese medicine has unique advantages in improving the therapeutic effect of malignant tumors and alleviating adverse reactions. Traditional Chinese medicine believes that Qi deficiency and blood stasis are important pathogeneses in the development of malignant tumors， and the method of supplementing Qi and activating blood is an effective strategy for treating malignant tumors. Astragali Radix， sweet in taste and warm in nature， has effects of tonifying Qi and rising Yang， strengthening the exterior and reducing sweat， promoting fluid and nourishing blood. Curcumae Rhizoma， acrid and bitter in taste and warm in nature， has the effects of promoting Qi and breaking blood stasis， eliminating mass， and relieving pain. Astragali Radix-Curcumae Rhizoma， as the classic herb pair of invigorating Qi and activating blood， has a clear effect on inhibiting tumor growth and metastasis. Studies have shown that Astragali Radix-Curcumae Rhizoma contains astragalus polysaccharide， astragaloside， calycosin， formononetin， curcumin， β-elemene， curcumenol， curcumenone， curcumendione， gemacrone， and other anti-tumor active ingredients. It can significantly inhibit the occurrence and development of liver cancer， colorectal cancer， gastric cancer， lung cancer， ovarian cancer， cervical cancer， breast cancer， and other cancers and has the advantages of superposition effect， synergistic complementarity， and increased dissolution compared with single herb and monomer of Chinese traditional herbs and has been widely valued in the field of TCM anti-cancer. Its anti-tumor mechanism includes inhibition of tumor cell proliferation， promotion of tumor cell apoptosis and autophagy， anti-invasion and metastasis， regulation of immune function， and enhancement of anti-tumor drug sensitivity. By combining Chinese and foreign literature， the compatibility effect and anti-tumor mechanism of Astragali Radix-Curcumae Rhizoma were summarized， and then scientific compatibility of these two herbs was expounded， in order to provide a useful reference for clinical application and future research of Astragali Radix-Curcumae Rhizoma.

Cell salvage (CS) is an important perioperative blood management technique that involves the real-time collection of shed blood from the surgical field, followed by washing and reinfusion into the patient. This approach effectively alleviates blood shortages and reduces the risks associated with allogeneic transfusion. With the widespread adoption of CS, its potential risks have drawn increasing attention. Mechanical shear stress during processing may impair the morphology and function of blood cells, while the centrifugation and washing steps can lead to substantial loss of coagulation components such as clotting factors and platelets. Additionally, transient leukocyte activation and suppression of immune cell function may contribute to perioperative immune dysregulation. Of particular concern is the limited capacity of current CS systems to eliminate pathogens and tumor cells, which may increase the risk of postoperative infection and tumor recurrence. Therefore, advancing CS technology by enhancing centrifugation performance, integrating efficient filtration systems to remove activated leukocytes, and enabling specific elimination of pathogens and malignant cells is essential for improving its safety profile. This review systematically summarizes the major challenges associated with clinical application of CS and aims to provide a reference for its standardized use, as well as a theoretical and practical foundation for future technological innovation and optimization.

Objective To explore the characteristics of the cross-sectional area(CSA)of the vagus nerve in a healthy population in Qujing,Yunnan,and its correlation with demographic characteristics.Methods High-resolution nerve ultrasound examinations were conducted on the vagus nerve of 201 healthy volunteers from a hospital in Qujing,Yunnan from September 2022 to March 2023.The CSA was measured through transverse scans of the vagus nerve.The correlation of vagus nerve CSA with age,body mass index(BMI),and gender was assessed.Results The mean CSA of the bilateral VN were 1.9 mm2(right)and 1.3 mm2(left),respectively.The average CSA of the right vagus nerve was significantly greater than that of the left(P<0.001).In the high-age group(>50 years),the average CSA of the right vagus nerve was significantly higher than that of the low-age group(≤50 years)(P=0.0142).However,there was no statistically significant difference in the average CSA of the right vagus nerve between the BMI>24 kg/m2 group and the≤24 kg/m2 group(P=0.0852).The average CSA of the left vagus nerve showed no statistically significant differences across different age groups and BMI groups(P>0.05),but the average CSA of the bilateral vagus nerve in the male group was greater than that in the female group,with a statistically significant difference(P<0.05).Correlation analysis further confirmed a negative correlation between the average CSA of the right vagus nerve and age(r=-0.17,P=0.0139).Multiple linear regression models indicated that age(P=0.007)and gender(P=0.001)were independent influencing factors for the average CSA of the right vagus nerve.Conclusion In the healthy population of Qujing,Yunnan,the CSA of the right vagus nerve is significantly greater than that of the left,and males also exhibit a significantly greater CSA than females.With increasing age,the vagus nerve gradually becomes thinner.

The interest in covalent drugs has resurged in recent decades, spurring the development of numerous specialized computational docking tools to facilitate covalent ligand design and screening. Herein, we present CarsiDock-Cov, a new paradigm distinguishing itself as the first deep learning (DL)-guided approach for covalent docking. CarsiDock-Cov retains the core components of its non-covalent predecessor, leveraging a DL model pretrained on millions of docking complexes to predict protein-ligand distance matrices, along with a dedicated-designed geometric optimization procedure to convert these distances into refined binding poses. Additionally, it incorporates several key enhancements specifically tailored to optimize the protocol for covalent docking applications. Our approach has been extensively validated on multiple public datasets regarding the docking and screening of covalent ligands, and the results indicate that our approach not only achieves comparably improved applicability compared to its non-covalent predecessor, but also exhibits competitive performance against various state-of-the-art covalent docking tools. Collectively, our approach represents a significant advance in covalent docking methodology, offering an automated and efficient solution that shows considerable promise for accelerating covalent drug discovery and design.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*