ObjectiveThe development trend and knowledge structure of the research on human use experience （HUE） of traditional Chinese medicine （TCM） were systematically reviewed， and the core challenges and future directions were identified. This study aims to provide reference for the construction of a scientific and feasible research and development framework and evidence transformation system. MethodsLiterature related to "human use experience" published from January 1， 2019 to July 31， 2025 was retrieved from the China National Knowledge Infrastructure （CNKI）， Wanfang， China Science and Technology Journal Database （VIP）， and PubMed databases. Bibliometric visualization was conducted using Excel， VOSviewer， and CiteSpace， followed by in-depth reading and thematic summarization of core literature. ResultsA total of 181 papers were included for bibliometric analysis， with 45 articles used for in-depth thematic mining. The analysis showed that the number of publications on HUE research has increased in a stepwise manner over the past five years. Yang Zhongqi （24 times） was the core of the author network， the journal with the highest number of publications was China Journal of Chinese Materia Medica， the institutions publishing the most articles were mainly research institutions， regulatory agencies， hospitals， and universities， high-frequency keywords included "new TCM drugs"， "real-world studies"， and "clinical comprehensive evaluation"， keyword clustering analysis formed three major clusters： Policy orientation， application fields， and methodological approaches. Thematic analysis reveals that HUE-based evaluation should be integrated throughout the research and development process， encompassing three dimensions： TCM theory， clinical value， and pharmaceutical fundamentals， with toxic herbs and compatibility contraindications being key foci. Data collection primarily relies on empirical data， while real-world data constitute the primary source for clinical research， with efficacy and safety as the shared core. Data management emphasizes quality control and statistical analysis； however， the management of bias and confounding remains a critical bottleneck in evidence transformation. In practice， HUE-based approaches have successfully supported the registration and evaluation of multiple categories of new TCM drugs. ConclusionThe research on HUE of TCM has formed a policy-driven pattern characterized by， rapid development and close link with regulatory practice. A technical framework covering the whole chain of research and development has been constructed with clinical value as the core， which provides methodological basis and strategy reference for the scientific transformation of HUE of TCM from "experience" to "evidence".

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Pharmacotranscriptomic profiles, which capture drug-induced changes in gene expression, offer vast potential for computational drug discovery and are widely used in modern medicine. However, current computational approaches neglected the associations within gene‒gene functional networks and unrevealed the systematic relationship between drug efficacy and the reversal effect. Here, we developed a new genome-scale functional module (GSFM) transformation framework to quantitatively evaluate drug efficacy for in silico drug discovery. GSFM employs four biologically interpretable quantifiers: GSFM_Up, GSFM_Down, GSFM_ssGSEA, and GSFM_TF to comprehensively evaluate the multi-dimension activities of each functional module (FM) at gene-level, pathway-level, and transcriptional regulatory network-level. Through a data transformation strategy, GSFM effectively converts noisy and potentially unreliable gene expression data into a more dependable FM active matrix, significantly outperforming other methods in terms of both robustness and accuracy. Besides, we found a positive correlation between RS_GSFM and drug efficacy, suggesting that RS_GSFM could serve as representative measure of drug efficacy. Furthermore, we identified WYE-354, perhexiline, and NTNCB as candidate therapeutic agents for the treatment of breast-invasive carcinoma, lung adenocarcinoma, and castration-resistant prostate cancer, respectively. The results from in vitro and in vivo experiments have validated that all identified compounds exhibit potent anti-tumor effects, providing proof-of-concept for our computational approach.

ObjectiveBased on analytic hierarchy process（AHP）-criteria importance through intercriteria correlation（CRITIC） hybrid weighting method， grey relational analysis and backpropagation artificial neural network（BP-ANN）， to optimize the water extraction process of Qizhi prescription， so as to provide an experimental basis for optimization of the preparation process of this prescription and the establishment of quality standards. MethodsL₉（3⁴） orthogonal test was employed， and the AHP-CRITIC hybrid weighting method was utilized to determine the weight coefficients of the quality fractions of various components， including astragaloside Ⅳ， polygalaxanthone Ⅲ， calycosin-7-O-β-D-glucoside， tenuifolin， and 3，6′-disinapoylsucrose， as well as the dry extract yield. The comprehensive score of each factor level combination in the orthogonal test were calculated as evaluation indicator to select the optimal extraction process parameters. The effects of extraction times， extraction time， and solvent dosage on the aqueous extraction process of the formula were investigated through intuitive analysis， variance analysis， and grey relational analysis. Meanwhile， a BP-ANN model was established to reverse-predict the optimal extraction process parameters of Qizhi prescription， and the optimized process parameters were validated. ResultsThe weight coefficients of the five index components（astragaloside Ⅳ， tenuifolin， calycosin-7-O-β-D-glucoside， polygalaxanthone Ⅲ， and 3，6′-disinapoylsucrose） and dry extract yield were 25.7%， 20.82%， 16.41%， 12.45%， 15.96% and 8.67%， respectively. The optimized extraction process parameters were extracted 3 times with 8， 6， 6 times the amount of water， each time for 1 h. The network prediction results of BP-ANN test samples were consistent with the orthogonal test results， and the mean square error（MSE） of the predicted and measured values of the network was <1%. The water extraction process of Qizhi prescription analyzed and predicted by relevant mathematical models was stable and feasible， which could effectively improve the extraction efficiency of the active ingredients of Astragali Radix and Polygalae Radix， and the average comprehensive score of the validation test was 90.85 with the relative standard deviation（RSD） of 1.55%. ConclusionThis study establishes a water extraction process for compound Qizhi granules， and the optimized extraction process can effectively improve the extraction efficiency of active ingredients， which provides useful references for the optimization of preparation process and the establishment of quality standards for other clinical experience formulas.

Objective:To evaluate the long-term efficacy and safety of recombinant coagulation factor Ⅷ (Octocog alfa) in Chinese patients with hemophilia A (HA) enrolled in the International Antihemophilic Factor Hemophilia A Outcome Database (AHEAD) study (NCT02078427) .Methods:Enrollment of Chinese patients in the AHEAD study was completed by January 2021, and data were collected up to July 15, 2022. This study primarily assessed patients in terms of the Gilbert score, global gait score within the Hemophilia Joint Health Score (HJHS), annualized bleeding rate (ABR), annualized joint bleeding rate, and adverse events.Results:A total of 168 male patients were included in this study, of which 113 received prophylactic treatment and 53 received on-demand treatment. The average age of the patients was 21.4±13.37 years. Compared with baseline, the global gait score within HJHS significantly decreased during the 1-year follow-up in patients with moderately severe HA in the prophylactic treatment group ( P=0.01) and on-demand treatment group ( P=0.008). The mean reduction in Gilbert score was greater in the prophylactic treatment group than in the on-demand treatment group (28.6% vs 8.2%). The average ABR decreased significantly during the 1-year follow-up (3.70 vs 7.78, P=0.01) in the prophylactic treatment group, particularly in patients with severe HA (2.14 vs 8.98, P=0.006) and pediatric patients (2.1 vs 4.73, P=0.03). The ABR score also decreased significantly in the moderate-dose prophylactic treatment group ( P=0.015). During the 1-year follow-up, 25 patients (14.9%) reported 39 adverse events, with only one patient developing treatment-related F Ⅷ inhibitor. Conclusion:Joint mobility improved in patients receiving either prophylactic or on-demand Octocog alfa. Bleeding episodes significantly reduced in patients receiving prophylactic treatment, particularly in pediatric patients and those with severe HA.

Objective:To explore the application effect of nursing coordination process based on healthcare failure mode and effect analysis (HFMEA) management in the treatment of patients with acute ST-segment elevation myocardial infarction (STEMI), so as to improve clinical treatment efficiency.Methods:In this prospective cohort study, STEMI patients requiring emergency percutaneous coronary intervention (PCI) admitted to the Department of Emergency, Subei People′s Hospital of Jiangsu Province from January to May 2024 were selected by random sampling method. According to the admission time, patients were divided into control group (from January to February 2024, received routine emergency process) and experimental group (from April to May 2024, received nursing coordination process based on HFMEA management). The triage evaluation time, reception time, reporting time of the first electrocardiogram, coming out time of troponin T results, improvement time of preoperative preparation, treatment effect (length of hospital stay, success rate of treatment, nosocomial mortality) and emergency physicians′ satisfaction with nursing work in the two groups were compared.Results:In the 100 STEMI patients, there were 48 cases in the control group, with 23 males and 25 females, aged (61.64 ± 4.37) years old. There were 52 cases in the experimental group, with 26 males and 26 females, aged (62.11 ± 4.61) years old. The triage evaluation time, reception time, reporting time of the first electrocardiogram, coming out time of troponin T results and improvement time of preoperative preparation in the experimental group were (1.65 ± 0.57), (2.46 ± 0.57), (7.58 ± 1.32), (16.43 ± 2.16), (46.18 ± 3.94) min, shorter than (2.48 ± 0.69), (3.41 ± 0.63), (10.69 ± 1.24), (18.66 ± 2.37), (54.37 ± 4.11) min in the control group, the differences were statistically significant ( t values were 4.92-12.12, all P<0.05). The length of hospital stay and nosocomial mortality in the experimental group were (10.16 ± 2.34) d, 3.85% (2/52), lower than (12.38 ± 2.09) d, 16.67% (8/48) in the control group, and success rate of treatment was 90.38% (47/52), higher than 75.00% (36/48) in the control group, the differences were statistically significant ( t=4.99, χ2=4.56, 4.19, all P<0.05). The emergency physicians′ satisfaction with nursing work in the experimental group was (79.43 ± 6.00) points, higher than (64.44 ± 6.54) points in the control group, the difference was statistically significant ( t=11.95, P<0.05). Conclusions:Nursing coordination process based on HFMEA management can effectively improve emergency efficiency in STEMI patients, shorten emergency time and reduce nosocomial mortality.

Objective:To analyze the clinical features and genetic sequencing results of a patient with Kallmann syndrome(KS) carrying digenic mutations who initially presented with osteoporosis, and to enhance awareness of this disease phenotype.Methods:Clinical data were collected, and peripheral blood DNA was extracted for whole-exome sequencing. Relevant literature was reviewed to summarize phenotypes associated with digenic/oligogenic variants involving CHD7.Results:The patient exhibited back pain, delayed development of secondary sexual characteristics, and hyposmia. Laboratory tests revealed reduced sex hormones and gonadotropin levels, while pituitary imaging was unremarkable. Bone mineral density imaging confirmed osteoporosis, and thoracolumbar X-rays showed multiple vertebral compression fractures. Genetic analysis identified a heterozygous splice-site mutation in CHD7(c.2698-1G>T) and a heterozygous missense mutation in WDR11(c.439G>A: p.D147N). According to ACMG criteria, the CHD7 mutation was classified as pathogenic, while the WDR11 variant was defined as a variant of uncertain significance(VUS). Literature review indicated that 40% of KS patients with digenic/oligogenic variants involving CHD7 presented with hearing or ocular abnormalities.Conclusion:This study reports a novel CHD7 mutation and a previously undescribed digenic combination of CHD7 and WDR11 variants in a KS patient. CHD7 variants may be implicated in auditory or ocular involvement in KS cases with digenic/oligogenic inheritances. KS patients may also manifest skeletal abnormalities in addition to hypogonadotropic hypogonadism. Tailored management of sex hormones and osteoporosis therapies across life stages is essential for optimizing bone health in KS.

Objective:To evaluate the preservation efficacy of 7 non-inactivating virus preservation solutions.Methods:Equal amounts of H1N1 virus were added to 7 commercially available non-inactivating virus preservation solutions, and the samples were stored at -20 ℃, 4 ℃, 25 ℃ and 37 ℃ for 1 hour, 6 hours, 1 day, 3 days, and 5 days. The viral nucleic acid in each simulated sample under different storage conditions was measured using real-time quantitative PCR. The hemagglutination (HA) titer was determined through viral isolation culture and hemagglutination assay, comparing the differences in viral growth activity across different storage solutions and conditions.Results:Except for solution E, the other solutions effectively protected viral nucleic acid at the 4 storage temperatures. In terms of viral activity, solutions A, B, C, and D effectively maintained viral viability. A and B showing the best performance, E and F showed poorer performance, and G performed the worst.Conclusions:Most non-inactivating virus preservation solutions effectively protect viral nucleic acid, but there are significant differences in their ability to maintain viral viability. To ensure optimal virus preservation, it is recommended that medical institutions evaluate the effectiveness of preservation solutions before use.

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Retrieving keyframes most relevant to text from small intestine videos with given labels can efficiently and accurately locate pathological regions. However, training directly on raw video data is extremely slow, while learning visual representations from image-text datasets leads to computational inconsistency. To tackle this challenge, a small bowel video keyframe retrieval based on multi-modal contrastive learning (KRCL) is proposed. This framework fully utilizes textual information from video category labels to learn video features closely related to text, while modeling temporal information within a pretrained image-text model. It transfers knowledge learned from image-text multimodal models to the video domain, enabling interaction among medical videos, images, and text data. Experimental results on the hyper-spectral and Kvasir dataset for gastrointestinal disease detection (Hyper-Kvasir) and the Microsoft Research video-to-text (MSR-VTT) retrieval dataset demonstrate the effectiveness and robustness of KRCL, with the proposed method achieving state-of-the-art performance across nearly all evaluation metrics.
Humans ; Video Recording ; Intestine, Small/diagnostic imaging* ; Machine Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms