Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

OBJECTIVE To investigate the clinical efficacy and mechanism of Gongliuxiao capsule combined with dienogest （DNG） in the treatment of refractory/recurrent endometriosis （EMT）. METHODS A retrospective analysis was conducted on the clinical data of 94 patients with refractory/recurrent EMT admitted to Qingdao TCM Hospital from January 2022 to January 2025. According to different treatment methods， they were divided into a monotherapy group （47 cases， receiving DNG monotherapy） and a combination group （47 cases， receiving Gongliuxiao capsule combined with DNG）. The cl inical efficacy， symptom and sign scores [Visual Analog Scale （VAS） and Pictorial Blood Loss Assessment Chart （PBAC） scores ] ， vascular endothelial function indicators [serum transforming growth factor-β 1 （TGF-β 1 ）， vascular endothelial growth factor （VEGF）， matrix metalloproteinase-2 （MMP-2）， MMP-9， basic fibroblast growth factor （bFGF） ] ， serum pathological factors [carbohydrate antigen 125 （CA125）， CA199， anti-endometrial antibody （EMAb） ] ， and Th1/Th2 drift indicators [interferon-γ （IFN-γ）， interleukin-4 （IL-4） ] were compared between the two groups before and after 6 months of treatment. RESULTS After treatment， the VAS and PBAC scores， serum levels of TGF-β 1 ， VEGF， MMP-2， MMP-9， bFGF， CA125， CA199， EMAb， and IL-4 in both groups were significantly lower than those before treatment， while IFN-γ levels were significantly higher than those before treatment （ P ＜0.05）. Moreover， the magnitude of increase or decrease in the combination group was significantly greater than that in the monotherapy group （ P ＜0.05）. The total effective rate in the combination group was significantly higher than that in the monotherapy group （93.62% vs. 76.60%， P ＜0.05）. CONCLUSIONS The combination of Gongliuxiao capsule and DNG is effective in treating refractory/recurrent EMT， and can effectively improve the degree of dysmenorrhea and abnormal menstrual volume in patients. The mechanism may be related to improving vascular endothelial function， inhibiting the expression of tumor pathological factors， and correcting Th1/Th2 drift.

Purpose: Maintaining the quality of Single Best Answer (SBA) questions remains a challenge in medical education, especially as artificial intelligence (AI)-generated items become more common. While considerable attention has been paid to AI question generation, the vetting process is under-explored and difficult to scale. Methods: This study investigates the feasibility and reliability of using a large language model to support the vetting of SBA questions. An AI-based reviewer, QA-bot, was developed using custom GPT and embedded with 25 criteria aligned with Bloom’s taxonomy (Levels 1–3). QA-bot and two experienced educators independently evaluated 32 AI-generated SBA questions using the shared evaluation rubric. Results: The rubric showed high internal consistency (Cronbach’s alpha=0.878), and strong inter-rater reliability between human reviewers (intraclass correlation coefficient [ICC]=0.893). QA-bot demonstrated good alignment with human raters (ICC=0.861 and 0.840). While the AI performed well on objective, rule-based criteria, it was less consistent in detecting irrelevant complexity and accurately judging difficulty. Conclusion These findings suggest that AI can function as an efficient first-pass reviewer, improving consistency and reducing workload, with human oversight remaining essential for educational and clinical relevance.

Introduction: Prediabetes or intermediate hyperglycemia (IH) represents a critical phase in the trajectory toward type 2 diabetes mellitus (T2DM). Recent evidence from the International Diabetes Federation (IDF) suggests that 1-hour OGTT (1HOGTT) ≥8.6 mmol/L is a more sensitive biomarker for early beta-cell dysfunction, with enhanced detection of IH and future T2DM risk. Conventional screening using hemoglobin A1c (HbA1c) or 2-Hour OGTT (2HOGTT) may delay identification of prediabetes, narrowing the window for early intervention. This study evaluates 1HOGTT as a screening tool for prediabetes among Malaysians. Methodology: This cross-sectional study enrolled adults without prior T2DM or prediabetes. Participants underwent 1HOGTT, 2HOGTT, and HbA1c, classified as per the Malaysian Clinical Practice Guideline for T2DM (6th Edition) and IDF 2024 criteria. Agreement between tests was assessed using McNemar’s test and Cohen’s kappa. Diagnostic accuracy was evaluated via receiver operating characteristic (ROC) curve analysis. Cost-effectiveness was determined using reagent cost only. Results: The majority of the 310 participants were female (71.6%), Malay (87.1%), with average age of 40. The 1HOGTT identified prediabetes in 21.6% (n = 67) compared to 17.1% (n = 53) by HbA1c and 2.6% (n = 8) by 2HOGTT. McNemar’s test confirmed statistically significant discordance between 1HOGTT and 2HOGTT (chi-square = 53.397, p <0.001): 61 participants were prediabetic by 1HOGTT but normal by 2HOGTT, versus only 2 in the reverse direction. No significant discordance was found between 1HOGTT and HbA1c (chi-square = 2.817, p = 0.093). 1HOGTT demonstrated excellent discriminatory ability against 2HOGTT (AUC = 0.908; 95% CI: 0.837–0.978), significantly outperforming HbA1c (AUC = 0.664; CI: 0.462– 0.867; DeLong p = 0.012). In a population-level cost analysis, 1HOGTT achieved lowest cost per prediabetes case detected (RM 5.79) – approximately 8.3 times and 8.1 times more cost-effective than 2HOGTT (RM 48.08) and HbA1c (RM 46.78) respectively. Conclusion 1HOGTT identifies a significant proportion of individuals with prediabetes missed by 2HOGTT and HbA1c. Incorporating 1HOGTT enhances the detection of prediabetes, is cost-effective, and enables timely preventive measures in our population with high diabetes burden.
Glucose Tolerance Test ; Glycated Hemoglobin ; Prediabetic State

Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

Objective: To analyze the demographic evolution of China over the forthcoming decade (2026-2035) and to systematically evaluate its potential implications for voluntary blood donation practices and the equilibrium of clinical blood supply and demand. Methods: Leveraging comprehensive blood collection and utilization data from 2021 to 2025 at the national, provincial (Shandong), and municipal (Zibo) levels, we identified and examined critical determinants influencing blood management systems. The DeepSeek-V3.2 large language model was deployed to project future population age structures, and to generate quantitative estimates for hospitalization volumes, clinical blood requirements, available blood supply, and donation frequencies for the target years 2030 and 2035, thereby furnishing an evidence base for strategic planning and priority-setting. Results: DeepSeek-derived projections indicate that the proportion of China's population aged 60 years and above will surpass 27% (370 million/1 380 million) by 2030 and exceed 30% (400 million/1 350 million) by 2035, signaling a marked acceleration in population aging. This demographic shift is projected to reduce the proportion of the national population eligible to donate blood from 59.2% (835 million out of 1.41 billion) to 52% (710 million out of 1.36 billion), while the demand for blood is expected to increase by 87.8% relative to 2024, rising from 26.927 million units to 50.56 million units. Sustaining blood supply-demand balance will necessitate progressive annual increases in donation rates. Under prevailing policy frameworks, the required blood donation rate among the eligible population in Shandong Province would need to rise by 122.57% by 2035 [from 20.07‰ (1.1641 million person-times/58 million people) to 44.67‰ (2.189 million person-times/49 million people)] to potentially satisfy projected clinical requirements. Conclusion: By integrating DeepSeek-V3.2, AI predictive models, and blood donation incentive measures, it is possible to monitor population demographics, forecast clinical blood demand, manage blood supplies, and ensure the long-term sustainability of clinical blood availability. It must be acknowledged, however, that the present analysis is constrained by a limited data foundation (comprising only five annual observation points); accordingly, the projections should be interpreted as directional trend indicators or methodological illustrations rather than definitive quantitative forecasts.

Acute lung injury （ALI） is one of the most common and critical diseases in clinical practice， with extremely high morbidity and mortality， seriously threatening human life and health. The pathogenesis of ALI is complex， in which the inflammatory response is a key factor. Studies have shown that NOD-like receptor protein 3 （NLRP3） inflammasomes are involved in ALI through mechanisms such as inflammation induction， increased microvascular permeability， recruitment of neutrophils， oxidative stress， and pyroptosis， playing a key role in the occurrence and progression of ALI. Therefore， regulating NLRP3 inflammasomes and inhibiting the release of inflammatory factors can alleviate the damage in ALI. At present， ALI is mainly treated by mechanical ventilation and oxygen therapy， which have problems such as high costs and poor prognosis. In recent years， studies have shown that traditional Chinese medicine （TCM） can reduce the inflammatory response and the occurrence of oxidative stress and pyroptosis by regulating the NLRP3 inflammasome， thus alleviating the damage and decreasing the mortality of ALI. Based on the relevant literature in recent years， this article reviews the research progress in TCM treatment of ALI by regulating NLRP3 inflammasomes， discusses how NLRP3 inflammasomes participate in ALI， and summarizes the active ingredients， extracts， and compound prescriptions of TCM that regulate NLRP3 inflammasomes， aiming to provide new ideas for the clinical treatment of ALI and the development of relevant drugs.

Objective·To investigate the longitudinal changes in amygdala and hippocampal subfield volumes before and after transcranial magnetic stimulation(TMS)treatment in patients with major depressive disorder(MDD)and explore their correlation with the antidepressant and anxiolytic efficacy of TMS.Methods·A total of 58 patients diagnosed with MDD at Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,were included in this study between January 2018 and August 2023.Clinical depressive and anxiety symptoms were assessed by using the Hamilton Depression Scale(HAMD),Montgomery-Asberg Depression Rating Scale(MADRS),and Hamilton Anxiety Scale(HAMA)at baseline and post-TMS treatment.Patients underwent a baseline magnetic resonance imaging(MRI)scan followed by TMS treatment targeting the left dorsolateral prefrontal cortex(DLPFC)at a frequency of 10 Hz,totaling 20 sessions.A follow-up MRI scan was conducted on the same day the TMS treatment concluded.Amygdala and hippocampal subfield volumes were segmented and calculated by using FreeSurfer v6.0.0 software.Longitudinal changes in the subfield volumes were analyzed with two-way analysis of variance.Controlling for age,sex,and intracranial volume,partial correlation analysis was conducted between subfield volumes and baseline clinical scores.The association between the rate of volume change in brain regions with significant volume changes and symptom improvement(reduction in HAMD,MADRS,and HAMA scores)was evaluated.Results·Following TMS treatment,a significant increase in the volume of the right amygdala central nucleus was observed(t=-2.441,P=0.018).While the volumes of bilateral hippocampal fimbria decreased,the volumes of most hippocampal subfield and the total hippocampus increased(P<0.05).No significant correlations were found between baseline amygdala or hippocampal subfield volumes and clinical depressive and anxiety symptoms.However,only in patients who responded effectively to TMS treatment,a positive correlation was found between the volume change rate of the left hippocampal tail and reductions in anxiety symptoms(HAMA:r=0.334,P=0.044).Conclusion·High-frequency TMS targeting the left DLPFC may induce volume increases in the right amygdala central nucleus and specific hippocampal subfields.Additionally,the volume change rate of the left hippocampal tail is associated with anti-anxiety effects in TMS responders,suggesting that high-frequency TMS targeting the left DLPFC may induce neuroplastic changes in the central nucleus of the right amygdala and key subfields of the hippocampus.

BACKGROUND:Long non-coding RNA(LncRNA)plays an important role in nervous system development and neurological diseases.Previous studies by the research team have demonstrated that human umbilical cord mesenchymal stem cells overexpressing erythropoietin(EPO-MSCs)under ischemic and hypoxic conditions have better neuroprotective functions and significantly activate the expression of LncRNA XIST.Research suggests that XIST is related to the pathogenesis of hypoxic-ischemic encephalopathy,but the role and mechanism of its regulation by EPO-MSCs in protecting ischemic-hypoxic neurons remain unclear.OBJECTIVE:To explore the new mechanism by which LncRNA XIST,in response to EPO-MSC signaling,affects the apoptosis of ischemic-hypoxic SH-SY5Y cells.METHODS:(1)SH-SY5Y cell lines with knockdown of LncRNA XIST(sh-XIST)and negative control(NC-XIST)were constructed through lentiviral transfection.Oxygen-glucose deprivation was used to induce ischemic-hypoxic injury in the cells.Transwell chambers were used to create a non-contact co-culture system with EPO-MSCs,sh-XIST,and NC-XIST ischemic-hypoxic SH-SY5Y cells.Cell proliferation ability was detected using the CCK-8 assay.Cell migration ability was assessed using the scratch assay,and cell apoptosis was measured by flow cytometry.(2)RNA-seq bioinformatics analysis was performed to screen for differentially expressed genes and pathways between sh-XIST and NC-XIST cell lines.Dual-luciferase experiments were used to verify the relationship between miR-124-3p and the target genes XIST and GRIN1.qRT-PCR was conducted to validate the expression levels of downstream miR-124-3p and GRIN1 genes.(3)miR-124-3p inhibitors and mimics were added to verify phenotypic changes in SH-SY5Y cells after ischemic-hypoxic injury and co-culture with EPO-MSCs.RESULTS AND CONCLUSION:(1)Compared with the NC-XIST group,SH-SY5Y cells in the sh-XIST group showed reduced proliferation and migration abilities and increased apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs.(2)Dual-luciferase experiments showed that miR-124-3p interacted with the target gene XIST.SH-SY5Y cells transfected with miR-124-3p mimics and co-cultured with EPO-MSCs showed decreased apoptosis after ischemic-hypoxic injury,while SH-SY5Y cells transfected with miR-124-3p inhibitors showed increased apoptosis after co-culture with EPO-MSCs.(3)Transcriptomic sequencing and bioinformatics analysis of sh-XIST revealed significant downregulation of the neuroactive ligand-receptor pathway and the key receptor gene GRIN1 for central nervous system development.(4)Dual-luciferase experiments showed that miR-124-3p interacted with GRIN1.GRIN1 expression was significantly downregulated in the sh-XIST group after ischemic-hypoxic injury compared with the NC-XIST group.These findings indicate that LncRNA XIST promotes GRIN1 expression by upregulating miR-124-3p,thereby reducing cell apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs and enhancing proliferation and migration.sh-XIST can block this protective function.

Innovative drugs are defined as new chemical entities that play a vital role in the treatment and maintenance of human health. While single-target innovative drugs have achieved notable success, they face limitations in addressing the increasingly complex and precise spectra of diseases. The advent of multi-target innovative drugs offers new opportunities, supported by a growing body of pharmacological evidence. Herbal medicines are recognized as valuable sources of multi-target therapeutics due to their proven efficacy in treating complex diseases. However, the identification and validation of such drugs from herbal sources continue to pose significant challenges. This paper presents a comprehensive review of the literature on traditional Chinese medicine, integrated medicine, chemistry, and biology from 2015 to 2025. It summarizes the strategies employed in integrating traditional Chinese and Western medicine for innovative drug development, along with successful application cases. We believe these efforts will deepen understanding of the current landscape, accelerate the discovery of multi-target innovative drugs from herbal medicine, and contribute to addressing major human health challenges.