ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

Objective:To investigate whether malignant tumors affect the laboratory outcomes of patients in their first controlled ovarian hyperstimulation (COH) cycle.Methods:This study was a retrospective case-control study that analyzed the clinical and laboratory data of patients who underwent fertility preservation before chemotherapy and radiotherapy due to malignant tumors, as well as patients with infertility caused by tubal factors who first underwent in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) at the Reproductive Health Hospital of the Third Affiliated Hospital of Zhengzhou University from January 2020 to May 2024. Patients who underwent fertility preservation were designated as the research group, while patients who underwent assisted reproduction due to tubal factors during the same period were designated as control group. After 1∶3 propensity score matching (PSM), 40 patients were included in the research group and 118 patients were included in control group. The ovarian response, oocyte retrieval outcomes, and embryonic development after fertilization in the first COH cycle were compared between the two groups. Results:After PSM, the research group and control group showed statistically significant differences in the gonadotropin (Gn) starting dosage [225.00 (162.50, 300.00) U vs. 193.75 (150.00, 225.00) U, P=0.002], duration of Gn used [10.00 (8.00, 11.00) d vs. 12.00 (10.00, 13.00) d, P<0.001], and average estradiol levels on human chorionic gonadotropin trigger day [2 487.00 (1 461.25, 4 090.25) pmol/L vs. 10 738.50 (8 400.00, 16 507.25) pmol/L, P<0.001]. However, no statistically significant difference was found in the total dosages of Gn used between the two groups ( P>0.05). There were no significant differences between the groups in terms of the number of oocytes retrieved, the number of metaphase Ⅱ oocytes, two pronuclei (2PN) rate, 2PN cleavage rate, available embryo rate, high-quality embryo rate, blastocyst formation rate, and available blastocyst formation rate (all P>0.05). Conclusion:Compared with infertility patients with tubal factors, there is no significant difference in the laboratory outcomes of malignant tumor patients undergoing COH for fertility preservation prior to chemotherapy and radiation.

Objective:To investigate the pregnancy outcomes in patients ≤35 years old with diminished ovarian reserve (DOR) undergoing intrauterine insemination (IUI).Methods:A retrospective cohort study was conducted by analyzing the clinical data of 6 229 IUI cycles performed in patients aged ≤35 years at the Reproductive Health Hospital of the Third Affiliated Hospital of Zhengzhou University between June 2016 and March 2024. Based on serum anti-Müllerian hormone (AMH) levels, the subjects were divided into two groups: patients with AMH <1.1 μg/L were classified as the DOR group (489 cycles), and patients with AMH ≥1.1 μg/L were classified as the normal ovarian reserve (NOR) group (5 740 cycles). Propensity score matching (PSM) was applied to control for confounding factors, after 1∶1 PSM matching, 486 cycles were included in each group. Clinical pregnancy rate, miscarriage rate, live birth rate, biochemical pregnancy rate, and ectopic pregnancy rate were compared between the two groups by generalized estimating equations.Results:The clinical pregnancy rate was 21.19% (103/486) in DOR group and 24.07% (117/486) in NOR group, with no statistically significant difference ( P=0.294). The live birth rate was 18.31% (89/486) in DOR group and 20.16% (98/486) in NOR group, also without significant difference ( P=0.469). Additionally, no significant differences were observed in miscarriage rate, biochemical pregnancy rate, or ectopic pregnancy rate between the two groups (all P>0.05). Conclusion:In patients aged ≤35 years with DOR, pregnancy outcomes from IUI are comparable to those in young patients with NOR.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

Objective To exploring the effect of inflammatory indicators on the outcome of assisted conception of in vitro fertilization/intracytoplasmic sperm injection(IVF/ICSI)in patients with ovarian endometriosis(OEM).Methods The study subjects were selected as the patients with OEM who received IVF/ICSI treatment at the Third Affiliated Hospital of Zhengzhou University from January 2019 to February 2024.Based on whether previous surgery for uterine endometriosis cyst removal had been performed,they were divided into non-surgery group(n=73)and surgery group(n=112).To explore the differences in inflammatory markers between two groups and to determine whether they have an impact on the outcome of assisted reproduction.Results The lymphocytes(L)and blastocyst formation rates of patients in surgery group were significantly higher than those in non-surgery group,platelet to lymphocyte ratio(PLR)and carbohydrate antigen 125(CA125)were significantly lower than those in non-surgery group(P＜0.05).There were no statistically significant differences in the clinical pregnancy rate and live birth rate between two groups of patients(P＞0.05).After adjusting for confounding factors,the results of multivariate Logistic regression analysis showed that L,PLR,and CA125 had no statistically significant impact on the clinical pregnancy rate and live birth rate(P＞0.05).Both maternal age and the number of embryos transferred exerted a certain influence on clinical pregnancy rates and live birth rates(P＜0.05),furthermore,the type of embryo transferred had a significant effect on clinical pregnancy rates(P＜0.05).Conclusion Compared with non-surgery group,surgery group had higher L level and lower PRL and CA125 levels,but these changes did not significantly affect clinical pregnancy or live birth outcomes in OEM patients undergoing IVF/ICSI assisted reproduction.

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.