Objective: To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine (TCM) through quantitative topic evolution analysis, we addressed the fragmentation of existing research and clarified the long-term research structure and evolutionary patterns of the field. Methods: A topic evolution analysis was performed on Chinese-language literature pertaining to intelligent diagnosis in TCM. Publications were retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Data, and China Science and Technology Journal Database (VIP), covering the period from database inception to July 3, 2025. A hybrid segmentation approach, based on cumulative publication growth trends and inflection point detection, was applied to divide the research timeline into distinct stages. Subsequently, the latent Dirichlet allocation (LDA) model was used to extract research topics, followed by alignment and evolutionary analysis of topics across different stages. Results: A total of 3 919 publications published between 2003 and 2025 were included, and the research trajectory was divided into five stages based on data-driven breakpoint detection. The field exhibited a clear evolutionary shift from early rule-based systems and tongue-pulse image and signal analysis (2006 – 2010), to machine-learning-based syndrome and prescription modeling (2011 – 2015), followed by deep-learning-driven pattern recognition and formula association (2016 – 2020). Since 2021, research has increasingly emphasized knowledge-graph construction, multimodal integration, and intelligent clinical decision-support systems, with recent studies (2024 – 2025) showing the emergence of large language models and agent-based diagnostic frameworks. Topic evolution analysis further revealed sustained cross-stage continuity in syndrome modeling and prescription association analysis, alongside the progressive consolidation of integrated intelligent diagnostic platforms. Conclusion By identifying key technological transitions and persistent core research themes, our findings offer a structured reference framework for the design of intelligent diagnostic systems, the construction of knowledge-driven clinical decision-support tools, and the alignment of AI models with TCM diagnostic logic. Importantly, the stage-based evolutionary insights derived from this analysis can inform future methodological choices, improve model interpretability and clinical applicability, and support the translation of intelligent TCM diagnosis from experimental research to real-world clinical practice.

Purpose To explore the predictive value of fetal cardiothoracic ratio(CTR)and their Z-scores for homozygous α-thalassemia major in early pregnancy.Materials and Methods Retrospective analysis was conducted on fetuses at high risk of α-thalassemia major(at 11-13?? weeks of gestation)who received prenatal care at the Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region from June 2016 to December 2023.Ultrasound examinations were performed on these fetuses to measure the CTRs[including cardiothoracic diameter ratio(CTDR),cardiothoracic circumference ratio(CTCR)and cardiothoracic area ratio(CTAR)],which were simultaneously converted into Z-scores.The receiver operating characteristic curve was used to evaluate the predictive efficacy of each group of CTRs and their corresponding Z-scores for fetal α-thalassemia major.Results ①A total of 363 high-risk fetuses were included,including 91(25.1%)in the affected group and 272(74.9%)in the control group.②All the CTRs(including CTDR,CTCR and CTAR)and their corresponding Z-scores in the affected group were significantly higher than those in the control group(t=3.705-21.320,all P<0.001).③The area under the curve(AUC)analysis showed that the AUCs of cardiothoracic ratio Z-scores were higher than those of the corresponding cardiothoracic ratios.The AUCs were ranked from largest to smallest as CTDR Z-score,CTDR,CTAR Z-score,CTCR Z-score,CTAR,CTCR,and the CTDR Z-score had the highest predictive efficacy(when the optimal cut-off value was 1.10,AUC=0.959,with a sensitivity of 94.5%and a specificity of 90.4%).Conclusion The predictive efficacy of fetal CTR Z-scores is higher than that of the corresponding CTRs,which are new indicators for effectively predicting homozygous α-thalassemia major in early pregnancy.Among them,the CTDR Z-score has the highest predictive efficacy,which can improve the prenatal diagnosis rate of this disease and reduce some unnecessary invasive procedures.

AIM:The aim of this study was to explore the effects of Yiqi-Yangyin-Quyu prescription(YP)on skeletal muscle injury and related metabolic disorders in mice with Sj?gren syndrome(SS),and to clarify the role of hy-droxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit beta(Hadhb)in mediating the effect of YP on skeletal muscle in SS.METHODS:The SS mice underwent YP treatment for 8 weeks.The morphological changes of the submandibular gland and muscle tissue were examined using hematoxylin-eosin staining.The mitochondrial status in mus-cle tissue was assessed through transmission electron microscopy.Additionally,combined transcriptome and proteome se-quencing was conducted on skeletal muscle samples.The omics sequencing results were validated by RT-qPCR.Immuno-fluorescence was used to confirm the levels of key proteins involved in the P53/peroxisome proliferator-activated receptor gamma(PPARG)signaling pathway.Immunohistochemistry and Western blot were employed to determine the levels of Hadhb key targets.RESULTS:Combined transcriptome and proteome analysis identified 1 523 differentially expressed genes(DEGs)and 182 differentially expressed proteins(DEPs)between the muscle tissue of SS mice(model group)and that of control animals(ICR group),12 of which showed co-differential expression at both transcriptomic and proteomic levels.Compared with model group,1 232 genes and 432 proteins were found to be differentially expressed in the muscle tissue of the mice in YP group.Among these,23 exhibited co-differential expression at both mRNA and protein levels.Gene Ontology(GO)analysis showed that the DEGs and DEPs between ICR and model groups were mainly involved in ener-gy metabolism and fatty acid oxidation,while the DEGs and DEPs between YP and model groups were primarily associated with sarcomere tissue and actin structure.Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis indi-cated that the DEGs and DEPs between ICR and model groups and between model and YP groups were enriched in the com-plement and coagulation cascade and lipid and pyruvate metabolism.The RT-qPCR validation results were consistent with those of the transcriptome analysis.Furthermore,the protein expression of the tumor suppressor P53 was significantly de-creased in YP group compared with model group,whereas that of PPARG was significantly increased.Western blot analy-sis showed that compared with ICR group,Hadhb protein expression was significantly decreased in model group,whereas the opposite trend was detected in YP group.CONCLUSION:The SS-related skeletal muscle damage is closely related to amino acid metabolism disorder and fatty acid degradation.Treatment with YP modulates innate immune defenses,lipid metabolism and energy metabolism in SS,and Hadhb is the key target of YP in SS-related skeletal muscle.

Objective To explore the influencing factors of immune-associated thyroid dysfunction caused by sintilimab treatment in solid tumors and construct a prediction model.Methods Medical records of patients diagnosed with solid tumors and treated with sintilimab at Peking University People's Hospital(Xizhimen Campus,Tongzhou Campus,Shijiazhuang Campus)from January 2023 to September 2024 were collected to explore the influencing factors that caused immune-related thyroid dysfunction using univariate and multifactorial binary logistic regression analyses and to establish a prediction model.The predictive effect of the model was assessed using the receiver operating characteristic(ROC)curve.Results A total of 120 patients were included,and 33 presented with immune-related thyroid dysfunction.Multifactorial logistic regression analysis revealed that thyroid-stimulating hormone(TSH)[OR=2.470,95%CI=(1.279,4.771)]and treatment cycles[OR=1.298,95%CI=(1.117,1.509)]were independent risk factors for the occurrence of immune-associated thyroid dysfunction,and the difference was statistically significant(P＜0.05).The area under the ROC curve was(0.897±0.043)[95%CI=(0.813,0.981)],the Yoden index was 0.703,and the model prediction accuracy was 86.5%.Conclusion The risk of immune-related thyroid dysfunction caused by sintilimab is high,and TSH and treatment cycle are the influencing factors,and the constructed model has certain predictive value and is of reference significance.

Immune thrombocytopenia(ITP)is an autoimmune disease characterized primarily by bleeding and fatigue.ITP-related fatigue can substantially affect health-related quality of life and has been recognized as a treatment indication in the latest guidelines.However,its pathogenesis remains unclear,and targeted therapies are lacking.This paper explores the theoretical foundation of the"excessive fire consuming healthy qi"theory,linking two key conceptual pairs:"excessive fire"with inflammation and"healthy qi consumption"with mitochondrial dysfunction.Chronic inflammation leads to continuous"qi consumption"and damage to mitochondrial structure and function,ultimately resulting in symptoms of qi deficiency such as tiredness and fatigue.The imbalance between qi and fire,leading to imbalance of yin and yang,is the primary pathogenesis of ITP-related fatigue,with the disease mainly affecting the spleen.Considering the etiology and pathogenesis of ITP,and relative equilibrium of yin-yang,the therapeutic approach of invigorating spleen and benefiting qi to promote the production of blood serves as a core treatment strategy.Previous research has demonstrated the clinical efficacy of Jianpi Yiqi Shexue Formula,consisting of milkvetch root,tangshen,Indian bread,largehead atractylodes rhizome,India madder root,and ass hide glue in treating patients with ITP-related fatigue.Designed to invigorate the spleen and regulate qi and blood,this formula aligns with the pathogenesis of ITP-related fatigue characterized by deficiency of spleen qi and stomach qi.The formula also modulates the expression levels of key proteins and genes involved in mitochondrial energy metabolism and alleviates the immune dysfunction.These findings highlight the potential for further research into the mechanism of ITP-related fatigue,particularly by using inflammation-mediated mitochondrial energy metabolism as a promising entry point.

Coronary heart disease with angina pectoris,characterized by myocardial ischemic injury as its fundamental pathological mechanism,represents a prevalent cardiovascular condition.The"State-Target Differential Diagnosis and Treatment"presents a holistic regulatory framework,integrating macroscopic state regulation with microscopic targeting.Guided by this approach,the pathological evolution of coronary heart disease is examined through four dimensions:"state-target-cause-effect."The"cause"encompasses both the pathogenesis and etiological factors of traditional Chinese and Western medicine.The"effect"manifests as adverse cardiovascular events,including myocardial infarction and heart failure.The"state"delineates the progressive development pattern of qi to blood to deficiency,beginning with qi stagnation and cold congealment in the initial stage,followed by blood stasis and phlegm obstruction in the intermediate stage,and culminating in qi-blood deficiency in the advanced stage.The"target"encompasses multi-level therapeutic interventions addressing both symptomatic manifestations and clinical indicators.Building on this theoretical foundation,this research focuses on the pattern of qi sinking and blood stasis commonly observed in late-stage angina,systematically elucidating its state regulation and targeting therapeutic strategies.Using the clinical empirical formula Shengxian Quyu Decoction as the baseline state prescription,an in-depth investigation was conducted to determine optimal combination patterns of symptom-and biomarker-targeted medications.This study aims to establish a modernized differential treatment system for angina pectoris with the pattern of qi sinking and blood stasis,providing novel research perspectives and theoretical foundations for enhancing clinical efficacy and reducing the risk of cardiovascular events.

Objective To investigate the potential role of plasma adiponectin concentration in predicting the response of patients with depression to electroconvulsive therapy(ECT).Methods This study enrolled depressive patients scheduled for ECT at the First Hospital of Shanxi Medical University between January 2022 and March 2024.Patients were categorized as either ECT responders(>50%reduction)or non-responders(≤50%reduction)based on post-ECT reduction rate of the 24-item Hamilton depression scale(HAMD)scores from baseline.Plasma adiponectin levels were measured in all patients before their first ECT treatment.To identify predictors of ECT response in patients with depression,the predictive value of plasma adiponectin was evaluated using receiver operating characteristic(ROC)curve analysis.Results A total of 80 patients with depression were enrolled including 44 in the ECT-responsive group and 36 in the non-responsive group.The plasma adiponectin level was significantly higher in the responsive group than in the non-responsive group[5.67(3.64,10.55)μg/mL vs.4.01(2.59,5.04)μg/mL,P=0.002].Pearson correlation analysis revealed a significant positive correlation between plasma adiponectin levels and the HAMD reduction rate(r=0.300,P=0.007).Multivariate logistic regression analysis showed that plasma adiponectin was independently associated with the response to ECT in patients with depression(OR=1.218,95%CI:1.009-1.470,P=0.040).Furthermore,ROC curve analysis demonstrated that the area under the curve(AUC)for adiponectin in predicting ECT response was 0.748(95%CI:0.583-0.813).Conclusion Pretreatment plasma adiponectin may serve as a potential biomarker for predicting response to ECT in patients with depression.

To explore the value of general information and rapid laboratory tests obtained from the emergency department in the early diagnosis and prevention of young patients with acute myocardial infarction and acute myocarditis, in order to prevent the disease from progressing to a critical stage. This study employs a retrospective observational study, compiling clinical data from young patients diagnosed with acute myocardial infarction or acute myocarditis who were admitted to the Department of Cardiology or Emergency Department of the Second Affiliated Hospital of Soochow University from January 2015 to September 2024. Demographic information and laboratory test results from both the outpatient and emergency departments were retrieved. The acute myocardial infarction group comprised 267 patients (257 males, 10 females) aged 23-44 ys, while the acute myocarditis group included 134 patients (93 males, 41 females) aged 18-44 ys. A comparative analysis of the clinical data between the two groups was conducted, encompassing variables such as age, gender, comorbidities, high-risk factors, emergency blood routine tests, high-sensitivity C-reactive protein levels, coagulation profiles, renal function tests, NT-proBNP levels, myocardial injury markers, electrocardiogram readings, blood pressure, and heart rate. The results showed that:Compared with the young myocarditis group, the myocardial infarction group was older (ys)[38(35, 42) vs 30(25, 37), U=7 893, P<0.001], more male [257(96.3%) vs 93(69.4%), χ2=57.95, P<0.001], more smoking [211(79.0%) vs 38(28.4%), χ2=97.32, P<0.001], drinking history [125(46.8%) vs 22(16.4%), χ2=35.51, P<0.001], family history of coronary heart disease [45(16.9%) vs 3(2.2%), χ2=18.09, P<0.001], hypertension [100(37.5%) vs 12(9.0%), χ2=36, P<0.001] and diabetes [42(15.7%) vs 4(3.0%), χ2=14.27, P<0.001]. Systolic blood pressure (mmHg)[126(114, 144) vs 119(101, 126), U=11 389.50, P<0.001], diastolic blood pressure (mmHg)[80(70, 93) vs 72(62, 81), U=12 220.50, P<0.001], total white blood cell count (10 9/L)[11.3(9.2, 14.1) vs 8.5(6.6, 11.2), U=10 825.50, P<0.001], hemoglobin (g/L)[157(147, 166) vs 143(129, 154), U=9 404.50, P<0.001], platelet count (10 9/L)[244(206, 297) vs 207(173, 253), U=11 680, P<0.001], uric acid (μmol/L)[380(315, 446) vs 347(265, 412), U=14 805.50, P=0.005], ST segment elevation [204(76.4%) vs 57(42.5%), χ2=73.03, P<0.001] and Q wave formation [76(28.5%) vs 17(12.7%), χ2=12.47, P<0.001] in ECG were higher than those in myocarditis group. The duration of onset (hs) [6(3, 25) vs 48(24, 73), U=27911, P<0.001], heart rate (beats/min)[82(74, 92) vs 92(78, 103), U=22 347, P<0.001], D-dimer (μg/ml)[0.23(0.17, 0.51) vs 0.61(0.30, 1.38), U=25 806, P<0.001], High-sensitivity troponin T/99th percentile upper reference limit [5(1, 36) vs 16(8, 39), U=22 577, P<0.001], NT-proBNP (pg/ml) [204(64, 644) vs 824(189, 4 043), U=25 134, P<0.001], C-reactive protein (mg/L)[6(3, 9) vs 24(6, 55), U=26 349.50, P<0.001] and body temperature (℃) [36.50(36.30, 36.60) vs 37.35(36.50, 38.50), U=26 961, P<0.001] were significantly lower than those in myocarditis group, the symptoms of chest pain in myocardial infarction group was significantly higher than those in myocarditis group [262(98.1%) vs 83(61.9%), χ2=97.24, P<0.001], and the history of prodromal infection [12(4.5%) vs 112(83.6%), χ2=261.26, P<0.001], syncope [11(4.1%) vs 18(13.4%), χ2=11.53, P<0.001] and shock [6(2.2%) vs 22(16.4%), χ2=27.59, P<0.001] in myocardial infarction group were significantly lower than those in myocarditis group. With acute myocardial infarction as the target outcome, 8 influencing factors selected by LASSO regression, and 5 independent influencing factors were found after multiple Logistic regression, those were age ( OR=1.21, 95% CI: 1.12-1.31; P<0.001), pre-infection ( OR=0.02, 95% CI: 0.01-0.06; P<0.001), body temperature ( OR=0.37, 95% CI: 0.18-0.77; P=0.008), chest pain ( OR=26.75, 95% CI: 5.87-121.81; P<0.001) and white blood cell count ( OR=1.27, 95% CI: 1.12-1.44; P<0.001). Younger age, high body temperature and pre-infection are independent predictors for acute myocarditis, while chest pain and elevated white blood cell count are independent predictors for acute myocardial infarction. The five influencing factors selected by multivariate logistic regression and their combined diagnostic model were subjected to ROC analysis. The AUC reached 0.969, sensitivity reached 0.940 and specificity reached 0.925. Calibration curve and decision curve analysis(DCA) demonstrate that the model possesses excellent clinical application value. In conclusion, age, chest pain, pre-infection, body temperature and white blood cell count were independent factors in distinguishing acute myocardial infarction and acute myocarditis in young people. The clinical differential diagnosis model based on 5 independent factors may has high efficiency and good clinical practicability.

Objective To explore the influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial internal carotid artery(ICA)stenosis and to construct a nomogram prediction model.Methods This study retrospectively and consecutively enrolled patients diagnosed with unilateral moderate-to-severe extracranial ICA stenosis and exhibited indications for carotid endarterectomy(CEA)hospitalized in the Department of Neurosurgery at the First Affiliated Hospital of Soochow University,between August 2019 and September 2024.The patients were divided into a stroke group and a non-stroke group,based on their clinical presentation and head MRI results.Baseline characteristics and clinical data including age,sex,body mass index,blood pressure(systolic and diastolic pressure[＜140 mmHg,140-＜160 mmHg,≥160 mmHg]),hypertension,diabetes,smoking and alcohol consumption history,use of statin and antiplatelet medication,fasting blood glucose,high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),triglycerides(TG),total cholesterol(TC)were collected and ratios between LDL-C/HDL-C,TG/HDL-C,non-HDL-C(calculated according to equation:non-HDL-C=TC-HDL-C),and non-HDL-C/HDL-C(nHHR)were calculated based on aforementioned data.The clinical and baseline data were then compared between two groups.Imaging data included side of carotid artery stenosis(identified through neck vascular ultrasound,CT angiography and/or DSA),degree of carotid stenosis(with 50％-69％categorized as moderate stenosis,and,70％-99％as severe stenosis),plaque echogenicity(predominantly low,medium or high),plaque calcification(surface and basal calcification),plaque ulceration(exists or not),bilateral middle cerebral artery(MCA)hemodynamic parameters measured by transcranial Doppler ultrasound(including,mean flow velocity[Vm],peak systolic velocity[Vs],end-diastolic velocity[Vd]),and the pulsatility index(PI,calculated via formula:PI=[Vs-Vd]/Vm).The hemodynamic parameter differences(△Vm,△Vs,△Vd,△PI)between the healthy and affected MCA were calculated.The baseline,clinical and imaging data with P＜0.05 in univariate analysis were included in multivariate Logistic regression analysis using forward stepwise selection to identify influencing factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis,and a nomogram prediction model was then constructed base on the analyzed results.Receiver operating characteristic curves were plotted,and the area under the curve(AUC)was calculated to evaluate the predictive performance of the nomogram.Delong's test was used to compare AUC differences between single indicators and the combined model.Results A total of 166 patients with unilateral moderate-to-severe extracranial ICA stenosis and CEA indication were included.In which,99 patients were in the stroke group and 67 patients were in the non-stroke group.The stroke group had a significantly higher proportion of hypertension patients(78.8％[78/99]vs.59.7％[40/67],P=0.008),higher systolic blood pressure([152±15]mmHg vs.[137±18]mmHg,P＜0.01),higher diastolic blood pressure([84±10]mmHg vs.[80±10]mmHg,P=0.042),higher TG(1.33[0.95,1.77]mmol/L vs.1.10[0.87,1.48]mmol/L,P=0.019),higher TG/HDL-C(1.35[0.97,2.08]vs.1.07[0.81,1.52],P=0.003),and higher nHHR(2.89[2.25,3.61]vs.2.48[1.93,3.27],P=0.027)than the non-stroke group.The HDL-C was significantly lower in the stroke group(0.96[0.80,1.15]mmol/L vs.1.03[0.91,1.16]mmol/L,P=0.014).Statistically significant differences were also observed in the distribution of systolic blood pressure between the groups(P＜0.01).No significant differences were found in other clinical data(all P＞0.05).The proportion of patients with carotid plaque ulceration was higher in the stroke group(35.4％[35/99]vs.16.4％[11/67],P=0.007),while stenosis side,stenosis degree,plaque echogenicity,and plaque calcification type showed no significant differences between the groups(all P＞0.05).△Vm(19[4,32]cm/s vs.10[-3,21]cm/s,P=0.001),△Vs(32[9,55]cm/s vs.24[3,40]cm/s,P=0.005),and △Vd(10[-1,19]cm/s vs.6[-3,12]cm/s,P=0.006)were significantly higher in the stroke group.No significant difference was found in △PI(P=0.076).Multivariate Logistic regression analysis identified high systolic blood pressure(OR,1.063,95％CI 1.036-1.090,P＜0.01),high TG/HDL-C(OR,2.802,95％CI 1.551-5.061,P=0.001),high △Vm(OR,1.032,95％CI 1.010-1.055,P=0.004),and plaque ulceration(OR,2.777,95％CI 1.123-6.871,P=0.027)as independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.Systolic blood pressure,TG/HDL-C,△Vm and plaque ulceration were involved in the construction of a combined predictive model for ischemic stroke in the targeted patient group(with unilateral moderate-to-severe extracranial ICA stenosis).The AUC of the combined prediction model was 0.828(95％CI 0.765-0.892,P＜0.01),which was significantly higher than the predictive efficacy of any single factor(all P＜0.01).Conclusions High systolic blood pressure,high TG/HDL-C ratio,high △Vm,and plaque ulceration are independent risk factors for ischemic stroke in patients with unilateral moderate-to-severe extracranial ICA stenosis.The nomogram prediction model based on these factors demonstrates good predictive value for assessing ischemic stroke risk in this patient population.

Objective:To present an evaluation indicator system for access to cancer screening services.Methods:The evaluation indicator pool was constructed through a scoping review. The theoretical framework was constructed based on the multi-source indicators, and the qualitative expert consultation method was employed to form the initial version of the three-level evaluation indicator system. Delphi expert consultation method was conducted in two rounds to evaluate the relevance, importance, and availability of the proposed evaluation indicator system. The expert positive coefficient, authority coefficient, coordination degree of expert opinions, and concentration of expert opinions were subjected to analysis. Subsequently, the three-level evaluation indicator system for access to cancer screening services was adjusted and determined based on the boundary value method and the open opinions of experts. Finally, the combination weight method was employed to determine the weight.Results:The initial version of the indicator system comprised 3 primary (first-level) indicators, 11 secondary (second-level) indicators, and 46 tertiary (third-level) indicators. Delphi expert consultation was conducted for the initial version, and 17 experts ultimately completed it, exhibiting a positive coefficient of 100% and an authority coefficient of 0.87. In comparison to the initial round of consultation, Kendall's W coefficient ranges (0.15-0.43, all P<0.05) of relevance, importance, and availability scores for each tertiary indicator in the second round exhibited an improvement. The analysis of the importance dimension indicates that expert opinions are also more concentrated, as evidenced by an increase of 8.5% and 7.0% in the proportion of the tertiary indicators with an arithmetic mean above 8 and a full mark ratio above 0.5, respectively. The final evaluation indicator system comprises three primary indicators, with the weights of structure evaluation, process evaluation, and outcome evaluation being 0.338, 0.378, and 0.285, respectively. It also comprises 11 secondary indicators and 45 tertiary indicators. Conclusions:The evaluation indicator system developed in this article can be an effective evaluation tool for quantitative comparison of access to cancer screening services across different populations, cancer types, and before and after intervention. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.