ObjectiveTo compare the performance of different automatic evaluation methods for detecting pattern hallucinations generated by large language models （LLMs） in traditional Chinese medicine （TCM） syndrome differentiation and to identify a strategy with higher overall discriminative performance against expert manual judgment. MethodsA standardized TCM syndrome-differentiation dataset containing 598 cases was constructed from case reports published in Chinese core journals indexed by Peking University Core Journals or Chinese Science Citation Database. Each of the 598 cases was submitted to five Chinese LLMs， with each model generating one syndrome-pattern output per case， yielding 2990 outputs in total. The 598 outputs generated by Qwen3-Next-80B-A3B-Thinking were independently annotated for syndrome-pattern hallucinations by two licensed TCM physicians with intermediate or higher professional titles. Disagreements were adjudicated by a third licensed TCM physician with a senior associate professional title and more than 10 years of clinical experience. The resulting consensus annotations served as the reference labels for training and validating the automated evaluation method. Based on these reference labels， three categories of automated evaluation methods were developed and compared following a progressive strategy from text-level semantic similarity， to syndrome-element structural consistency， and finally multi-feature fusion. Method A employed sentence-embedding models based on semantic similarity between pattern texts. Method B adopted a rule-based threshold method using weighted Jaccard coefficients of disease-location and disease-nature syndrome elements. Method C utilized a machine-learning classifier integrating syndrome-element matching scores， missing and redundant syndrome-element counts， and multiple semantic-similarity features. Five-fold cross-validation was used to evaluate the discriminative performance of each method against manual judgment. The optimal method was then applied to uniformly assess the pattern hallucination rates of five LLMs. ResultsIn method A， text2vec-large-chinese showed best overall performance， with an area under the receiver operating characteristic curve （AUROC）， area under the precision-recall curve （PR-AUC）， F1-score， sensitivity， and specificity of 0.849， 0.884， 0.794， 0.801， and 0.691， respectively. In method B， the corresponding metrics of the rule-based syndrome-element Jaccard threshold method were 0.848， 0.851， 0.817， 0.845， and 0.684， respectively； those of the LLM-based syndrome-element Jaccard method were 0.872， 0.906， 0.795， 0.764， and 0.780， respectively. In method C， the multilayer perceptron （MLP） classifier showed the best overall performance， with AUROC， PR-AUC， F1-score， sensitivity， and specificity of 0.933， 0.951， 0.871， 0.857， and 0.846， respectively. Under the unified evaluation framework combining DeepSeek-R1 syndrome-element extraction and MLP classifier， the estimated pattern hallucination rates of the five LLMs ranged from 56.0% to 77.4%. ConclusionAmong the three automatic evaluation methods， Method C integrating syndrome-element discrepancy features and text semantic features using an MLP classifier showed the highest overall discriminative performance against manual judgment， and is more suitable for evaluating syndrome hallucinations in LLM-based TCM syndrome differentiation tasks.

OBJECTIVE To screen a single matrix， prepare dissolving microneedles of Pterocarya hupehensis total flavonoids（PHTF-MN）， and characterize it while evaluating its analgesic effects.METHODS Using microneedle morphology and puncture rate as evaluation indicators， the matrix was screened from polyvinyl alcohol （PVA）， polyvinylpyrrolidone K30 （PVP K30）， PVP K90， and sodium hyaluronate with relative molecular weights of 15 000 and 60 000 （HA 1.5w and HA 6w ）. PHTF-MN was prepared by the layer-by-layer casting method with the selected matrix， and the appearance and morphology， total flavonoid content， mechanical properties， puncture performance， dissolution properties， and drug release behavior of the obtained PHTF-MN were characterized. Using male BALB/c mice as test subjects and aspirin （ASA） as a positive control， the analgesic effects of the microneedles were evaluated using a formalin-induced pain model.RESULTS Blank microneedles prepared with 30% HA 1.5w exhibited optimal surface flatness and the membrane puncture rate （through 4 layers of parafilm membrane） reaching 78%. The PHTF-MNs （with PHTF contents of 10， 20， 30， 40， and 50 mg/g in the matrix） exhibited uniform arrays and intact tips， with RSDs for total flavonoid contents all below 7% （ n ＝8）. The single-needle puncture forces were 1.46 and 1.07 N （with PHTF contents of 30 and 50 mg/g in the matrix， respectively）. The skin penetration rate approached 100%， with visible puncture marks in the stratum corneum and drug residue （with a PHTF content of 50 mg/g in the matrix）. After 30 min of fixation， the needles had almost completely dissolved， and the skin retention rates all exceeded 90% （with PHTF contents of 10， 30， and 50 mg/g in the matrix， respectively）. The cumulative release within 8 h was （134.64±2.03） μg/cm 2 ， and the fit to the first-order kinetic equation （ R 2 ＝0.950 1） was highest （with a PHTF content of 50 mg/g in the matrix）. Low- and high-dose PHTF-MN （containing 85.26 and 145.03 μg of total flavonoids per patch， respectively； 1 patch/day） significantly shortened the cumulative time of phase Ⅱ pain response in mice （ P ＜0.05）， with pain inhibition rates （43.67% and 59.78%） comparable to those of ASA （53.70%）.CONCLUSIONS PHTF-MN using HA 1.5w as a single matrix was successfully prepared. This formulation features a simplified preparation process， uniform drug loading， favorable mechanical properties， resistance to fracture， and rapid dissolution. Its drug release behavior conforms to a first-order kinetic model， and its analgesic effect is comparable to that of ASA.

Natural products (NPs) are an important source of new drugs for the treatment of stroke. Identifying cellular targets for bioactive molecules is a major challenge and critical issue in the development of new drugs for stroke. Small-molecule probes play a unique role in target discovery. However, drawbacks to these probes include non-specificity, unstable activity, and difficulty in synthesis. Small-molecule probes based on NPs at least partially compensate for these shortcomings. NPs feature rich chemical and structural diversity, biocompatibility, and unique biological activities. These features could be exploited to provide new ideas and tools for target discovery. Small-molecule probes based on NPs provide a precise and direct search for interacting protein targets of NPs-active small molecules. This review explores the properties of small-molecule probes based on NPs and their applications in mechanistic studies of stroke and other diseases. We hope that this review will bring new perspectives to the mechanistic study of NPs-active small molecules and accelerate the translation of these ingredients into drug candidates for the treatment of stroke.

Objective To investigate the value of early maternal serological indicators in predic-ting the delivery of full-term small-for-gestational-age(SGA)infants.Methods The clinical data of pregnant women who delivered at Beijing Tongzhou District Maternal and Child Health Hospital from August 2023 to August 2024 were analyzed.A total of 180 pregnant women who delivered full-term SGA infants were included in case group,and 180 pregnant women who delivered full-term appropri-ate-for-gestational-age(AGA)infants during the same period were included in control group.The levels of serum pregnancy-associated plasma protein A(PAPP-A),placenta growth factor(PLGF),and soluble fms-like tyrosine kinase-1(sFlt-1)in the first trimester(11 to 13 weeks+6 days of ges-tation)of the two groups were compared.Receiver operating characteristic(ROC)curves were used to analyze the predictive value of early maternal serological indicators for the delivery of full-term SGA infants.Results The levels of serum PAPP-A and PLGF in the first trimester of the case group were lower than those in the control group,while the level of sFlt-1 was higher(P＜0.05).The area un-der the ROC curve(AUC)for the combined detection of serum PAPP-A,PLGF,and sFlt-1 levels in the first trimester in predicting the delivery of full-term SGA infants was 0.823,which was higher than the AUCs for detection of each indicator(0.738,0.720,0.724)(P＜0.05).Conclusion The detection of early maternal PAPP-A,PLGF,and sFlt-1 levels can reflect the fetal growth status in utero.The combined detection of these three indicators has a higher predictive value for the delivery of full-term SGA infants by pregnant women,which is helpful for clinicians to take intervention measures in advance.

Objective:To understand the current research status, hot issues, and development trends of Taohong Siwu Decoction.Methods:Research literature about Taohong Siwu Decoction was retrieved from Wanfang Data, CBM, CNKI, and Chongqing VIP from January 1, 2014, to August 13, 2024. Excel 2024 software was used to analyze the annual number of publications, the source journals, literature types and the distribution of diseases and syndromes. CiteSpace 6.3.R3 software was used for visualization analysis on the authors, research institutions and key words.Results:A total of 2 519 articles were included, and the annual publication volume showed a fluctuating growth trend. There were 396 source journals, of which Medicine and Health published the most (80 articles); 208 authors were involved, and the core authors included Peng Daiyin of Anhui University of Chinese Medicine, Zhu Fuping of the First Affiliated Hospital of Hunan University of Chinese Medicine, Sun Shaoqiu of the Second Affiliated Hospital of Hunan University of Chinese Medicine and so on. The main research institutions in this field included Hunan University of Chinese Medicine and its affiliated hospitals. The high-frequency keywords included fracture, irregular menstruation, clinical efficacy, chloasma, Wuling Powder, experience of famous doctors, elderly, etc. Keywords could be clustered into 11 modules.Conclusions:The current research hotspots of Taohong Siwu Decoction mainly focus on the exploration of multi-system disease treatment, individualized syndrome differentiation and treatment, pharmacology and metabolic mechanism of Chinese materia medica, etc. Among them, the in-depth study of drug composition and metabolism, network pharmacology and mechanism is the research frontier in this field.

Objective To investigate the differences in personality traits between the patients with anx-ious depression(AND)and non-anxious depression(NAD)in order to provide the possible basis for early find of the patients with AND.Methods A total of 572 adult patients with depression visiting in the psychiatric outpatient department of the First Affiliated Hospital of Chongqing Medical University from January 2022 to December 2022 were selected to conduct the questionnaire survey.General demographic questionnaire,Self-rating Depression Scale(SDS),Generalized Anxiety Disorder Scale(GAD-7)and Minnesota Multiphasic Per-sonality Inventory(MMPI)were collected and analyzed.The patients with GAD-7 total score ≥5 points served as the AND group(n=499)and those with GAD total score＜5 points served as the NAD group(n=73).The correlation between the general demographic questionnaire,SDS and GAD-7 with MMPI was ana-lyzed.Results There were statistically significant differences in the place of residence,number of children in a family,education years,MMPI total score and high score proportions of psychopathy,athopia,hysteria,depres-sion,hypochondriasis,paranoea,schizophrenia,social introversion and hypomania dimensions between the two groups(P＜0.05).The SDS and GAD-7 scores in the AND group were higher than those in the NAD group(P＜0.05).The MMPI total score,athopia,hysteria,depression,hypochondriasis,paranoea,schizophrenia,so-cial introversion and hypomania were positively correlated with SDS and GAD-7(P＜0.05).Conclusion The patients with depression accompanied by anxiety symptom could be early identified by the MMPI testing results.

Objective:To explore the adaptability of health resources allocation and the economic development level in Sichuan Province and its influencing factors,so as to provide reference and suggestions for optimizing health resources allocation.Methods:Based on the panel data of 21 cities(states)in Sichuan Province,it analyzes the adaptability of health resources allocation and economic development in Sichuan Province from 2017 to 2021 and its influencing factors through entropy method,coupling coordination model and grey relational model.Results:From 2017 to 2021,the allocation level of health resources in most areas of Sichuan Province showed a gradual upward trend,but the rising speed was obviously lower than the growth rate of economic development;In 2021,the adaptability between the allocation of health resources and the level of economic development in most parts of Sichuan Province is still in a low coordination stage.Conclusion:Different regions should adopt differentiated development strategies based on their actual geographical conditions,optimize the allocation of health resources according to local conditions,and promote the coordinated development of health resource allocation and economic level.

Objective:To explore the adaptability of health resources allocation and the economic development level in Sichuan Province and its influencing factors,so as to provide reference and suggestions for optimizing health resources allocation.Methods:Based on the panel data of 21 cities(states)in Sichuan Province,it analyzes the adaptability of health resources allocation and economic development in Sichuan Province from 2017 to 2021 and its influencing factors through entropy method,coupling coordination model and grey relational model.Results:From 2017 to 2021,the allocation level of health resources in most areas of Sichuan Province showed a gradual upward trend,but the rising speed was obviously lower than the growth rate of economic development;In 2021,the adaptability between the allocation of health resources and the level of economic development in most parts of Sichuan Province is still in a low coordination stage.Conclusion:Different regions should adopt differentiated development strategies based on their actual geographical conditions,optimize the allocation of health resources according to local conditions,and promote the coordinated development of health resource allocation and economic level.

Objective To investigate the acupoint selection law in acupuncture therapy for post-stroke respiratory dysfunction through data mining techniques with R language;To provide references for acupoint selection of clinical acupuncture practice for this disease.Methods Clinical research literature about acupuncture therapy for post-stroke respiratory dysfunction was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Cochrane Library,Web of Science and Embase from the establishment of the databases to February 20,2025.An acupuncture prescription database was established using Excel 2021.R 4.4.3 was used to analyze acupoint application frequency,meridian tropism,regional distribution and specific acupoints,and clustering analysis and association rule analysis were performed.Results Totally 123 articles were obtained,including 123 acupuncture prescriptions,involving 110 acupoints with a total application frequency of 723 times.High-frequency acupoints included Feishu(BL13),Hegu(LI4),Zusanli(ST36)and Fengchi(GB20),etc.The most frequently used meridians were the Bladder Meridian,Ren Meridian,Lung Meridian and Stomach Meridian.Acupoints were predominantly distributed in the head,neck and back regions,with crossing acupoints being the most commonly employed specific acupoints.Clustering analysis identified five meaningful acupoint combinations.The acupoint pair"Feishu(BL13)-Pishu(BL20)"demonstrated the strongest association.Conclusion Acupuncture treatment for post-stroke respiratory dysfunction follows the principle of strengthening the spleen to resolve phlegm and ventilating lung qi.The core acupoint combination is Feishu(BL13)-Pishu(BL20),with additional a acupoints adjusted based on syndrome differentiation to optimize therapeutic efficacy.

Objective:To construct a scientific, systematic, and clinically applicable evaluation system of quality-sensitive indicators for nursing care of patients with tracheostomy and swallowing disorders following brain injury, providing a basis for evaluating nursing care quality in this patient population.Methods:By reviewing the literature and qualitative studies, a draft evaluation indicator was formed based on nursing issues related to patients with swallowing disorders during their hospital stay, employing the "structure-process-outcome" three-dimensional quality management model as the theoretical foundation. Between July and September 2023, two rounds of Delphi method expert consultations were conducted to add, delete, and modify indicators, and the analytic hierarchy process was used to determine indicator weights.Results:A total of 18 experts participated in two rounds of consultations, with a questionnaire return rate of 18/18. All 18 experts were female, with an average age of (47.61 ± 8.17) years. The expert authority coefficients were 0.895 and 0.910, while the Kendall concordance coefficients were 0.304 and 0.138 (all P<0.001). The average importance values assigned to each level of indicators ranged from 4.28 to 5.00. The final nursing evaluation indicators for patients with tracheostomy and swallowing disorders following brain injury included 4 first-level indicators, 21 second-level indicators, and 45 third-level indicators. Conclusions:By combining evidence-based research, current situation surveys, qualitative studies, and the Delphi method, a successful nursing quality evaluation indicator system was established for patients with tracheostomy and swallowing disorders following brain injury. These indicators are scientific, systematic, and clinically operable, playing an important role in improving the quality of nursing care for patients with tracheostomy and swallowing disorders following brain injury.