BACKGROUND:H-type vessels(CD31hiEmcnhi)possess unique functionalities that offer new perspectives and entry points for comprehensively understanding the mechanisms of vascular-mediated bone metabolism regulation.This has triggered a significant paradigm shift in bone science research from a"bone-centric"approach to an"integrative bone-vascular"framework.OBJECTIVE:To perform a visual analysis based on literature data in the field of H-type vessels,aiming to identify research hotspots and emerging trends.METHODS:A systematic search was conducted in the CNKI and Web of Science databases for English and Chinese publications related to H-type vessels,covering the period from 2014 to 2024.The CiteSpace 6.2.R4 information visualization software was utilized to analyze and visualize data on publication countries,authors,institutions,keywords,and timeline views.RESULTS AND CONCLUSION:(1)A total of 59 Chinese and 185 English publications were included in the analysis.Since the introduction of the H-type vessel concept in 2014,the number of related research publications has been steadily increasing,accompanied by a significant growth in academic output.China leads the research in this domain,with major institutions including Southern Medical University,Sichuan University,and Shanghai Jiao Tong University.Keyword analysis indicated that current research hotspots primarily focus on the generation and regulatory mechanisms of H-type vessels,their roles in bone formation and remodeling,and their associations with bone metabolic diseases.Additionally,emerging keywords such as"induced membrane,""cartilage repair,"and"traditional Chinese medicine"suggest that research is progressively moving towards diversification and multidisciplinary integration.(2)H-type vessels play a crucial role in the development and progression of bone diseases,and relevant studies are pivotal for a deeper understanding of the physiological and pathological processes of bone tissue.Future research should further elucidate the specific mechanisms of H-type vessels in various disease contexts and promote the clinical translation of basic research findings.These efforts will provide innovative ideas and strategies for the prevention and treatment of bone-related diseases.

BACKGROUND:H-type vessels(CD31hiEmcnhi)possess unique functionalities that offer new perspectives and entry points for comprehensively understanding the mechanisms of vascular-mediated bone metabolism regulation.This has triggered a significant paradigm shift in bone science research from a"bone-centric"approach to an"integrative bone-vascular"framework.OBJECTIVE:To perform a visual analysis based on literature data in the field of H-type vessels,aiming to identify research hotspots and emerging trends.METHODS:A systematic search was conducted in the CNKI and Web of Science databases for English and Chinese publications related to H-type vessels,covering the period from 2014 to 2024.The CiteSpace 6.2.R4 information visualization software was utilized to analyze and visualize data on publication countries,authors,institutions,keywords,and timeline views.RESULTS AND CONCLUSION:(1)A total of 59 Chinese and 185 English publications were included in the analysis.Since the introduction of the H-type vessel concept in 2014,the number of related research publications has been steadily increasing,accompanied by a significant growth in academic output.China leads the research in this domain,with major institutions including Southern Medical University,Sichuan University,and Shanghai Jiao Tong University.Keyword analysis indicated that current research hotspots primarily focus on the generation and regulatory mechanisms of H-type vessels,their roles in bone formation and remodeling,and their associations with bone metabolic diseases.Additionally,emerging keywords such as"induced membrane,""cartilage repair,"and"traditional Chinese medicine"suggest that research is progressively moving towards diversification and multidisciplinary integration.(2)H-type vessels play a crucial role in the development and progression of bone diseases,and relevant studies are pivotal for a deeper understanding of the physiological and pathological processes of bone tissue.Future research should further elucidate the specific mechanisms of H-type vessels in various disease contexts and promote the clinical translation of basic research findings.These efforts will provide innovative ideas and strategies for the prevention and treatment of bone-related diseases.

ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine （TCM） clinical scenarios， and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior （AP） and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st， 2023， and September 1st， 2024， via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed， combined with anatomical knowledge specific to TCM orthopedics， to optimize the feature extraction strategy of an artificial intelligence （AI） model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated， and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected， and were divided into a training set （11,144 images， 5066 AP and 6078 lateral）， a validation set （3700 images， 1840 AP and 1860 lateral）， and an independent test set （600 images， 300 AP and 300 lateral） after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination， when the degree error between AI measurement and manual measurement was ＜3° and ＜5°， AI measurement accuracy was 83% and 93%， respectively. In 300 lateral X-rays in the test set for palmar tilt， when AI measurements had an error of ＜3° and ＜5° compared to manual measurements， corresponding accuracy rate was 78% and 90%， respectively. For 50 X-ray images， AI measurement time was （1.37±0.05） min for radial inclination while manual measurement time was （22.57±2.52） min （P＜0.001）； in terms of palmar tilt， the AI measurement time was （1.33±0.14） min， shorter than （23.70±2.80） min for manual measurement time （P＜0.001）. Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established， enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.

ObjectiveTo systematically quantify the multidimensional effect of virtual reality-based exergaming (VREG) on health outcomes among individuals with cognitive impairment under the framework of the International Classification of Functioning, Disability and Health (ICF). MethodsMeta-analysis was conducted in accordance with the PRISMA statement. PubMed, Cochrane Library, Embase, Scopus, Web of Science, CNKI, Wanfang Data and VIP were researched for randomized controlled trials (RCTs) investigating VREG for cognitive impairment, with the search deadline set on February 1, 2026. The Cochrane Risk of Bias 2.0 tool was adopted to evaluate the methodological quality of included studies. A three-level meta-analytic model was implemented with R 4.4.2. The GRADE framework was further used to rate the certainty of pooled evidence. ResultsA total of 22 RCTs were included. VREG might improve global cognitive function (SMD = 0.69, 95%CI 0.11 to 1.28, P = 0.022), memory (SMD = 0.47, 95%CI 0.07 to 0.87, P = 0.023), attention (SMD = 0.62, 95%CI 0.23 to 1.01, P = 0.004), executive function (SMD = 0.42, 95%CI 0.09 to 0.75, P = 0.013), balance (SMD = 0.54, 95%CI 0.07 to 1.00, P = 0.027), muscle strength (SMD = 0.63, 95%CI 0.37 to 0.88, P = 0.001), mobility (SMD = 0.29, 95%CI 0.04 to 0.54, P = 0.024) and quality of life (SMD = 0.29, 95%CI 0.03 to 0.56, P = 0.029). No significant effect was observed for depressive symptoms, comprehensive physical fitness and fall risk (all P > 0.05). Subgroup and meta-regression analyses indicated that session duration < 45 minutes produced the largest improvement in attention (SMD = 0.95, 95%CI 0.55 to 1.34, P < 0.001); intervention cycles of twelve to 24 weeks were optimal for mobility (SMD = 0.85, 95%CI 0.44 to 1.25, P < 0.001); age negatively correlated to balance improvement (β = -0.11, 95%CI -0.20 to -0.02, P = 0.020), suggesting less intervention benefits among older participants. ConclusionVREG is an effective non-pharmacological intervention to improve multidimensional physical and mental health in people with cognitive impairment. Protocols featuring short single sessions with long-term duration should be prioritized.

Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Practice Guidelines as Topic ; Drugs, Chinese Herbal/therapeutic use*

Background Industrial emissions are a well-established major source of urban fine particulate matter (PM_2.5) and associated heavy metals. To improve local air quality, Shanghai No. 1 Iron and Steel Plant in Baoshan District was entirely relocated, with all production lines successively shut down in 2018. Objective To evaluate the trends in PM_2.5 and three heavy metal concentrations - chromium (Cr), mercury (Hg), and thallium (Tl) —in the local atmosphere pre- and post- relocation of the steel plant. Methods Taking the steel plant relocation in 2019 as the intervention cutoff point, this study was divided into two phases: pre-intervention (January 2017 to December 2018) and post-intervention (January 2019 to December 2021). Monthly mean pollutant concentrations were used to construct an interrupted time series (ITS) model, followed by segmented linear regression to assess the pre- and post-intervention trends in ambient PM_2.5 and three heavy metals surrounding thesteel plant. Results The ITS regression analysis revealed that the change in PM_2.5 concentration (b₂) after the intervention was −7.16 μg·m⁻³, while the changes in Cr, Hg, and Tl concentrations (b₂) were −0.46, −0.03, and −0.06 ng·m⁻³, respectively. Prior to the intervention, PM_2.5 mass concentrations exhibited a temporal decline with a slope of b₁ = –0.69 (P<0.05); seasonal adjustment further strengthened the overall significance of the model. Before the intervention, the concentration of Cr increased over time, with a slope of b₁=0.12 (P<0.05). After the intervention, the concentration of Cr showed a gradual downward trend over time, with a slope (b₁ + b₃) of −0.04, and significant seasonal variations were observed. The concentration of Hg decreased over time before the intervention, with a slope of b₁=−0.0029 (P<0.05). After the intervention, the slope was −0.0003, showing a further slow decline in Hg concentration over time. However, no significant seasonal trend was observed for Hg. The mass concentration of Tl decreased after the intervention, and the difference before and after the intervention was statistically significant (P<0.05). PM_2.5, Cr, and Tl better fit to the seasonal model, whereas Hg showed a better fit to the non-seasonal model. Conclusion The steel plant relocation intervention has markedly improved local air quality.

Zirconium dioxide(ZrO2)is a suitable solid phase microextraction(SPME)fiber coating due to its high thermal and chemical stability and excellent adsorption.Similarly,polydopamine(PDA)can also be utilized as SPME fiber coating because of its strong oxidation resistance and stability,desired adsorption as well as environmental friendliness.In this work,a novel zirconium dioxide-doped polydopamine(ZrO2@PDA)SPME fiber coating was quickly fabricated on the stainless steel(SS)by cyclic voltammetry(CV)using the etched SS wire as working electrode,a Pt rod as counter electrode and a saturated calomel electrode as reference electrode.Coupled with high performance liquid chromatography-ultraviolet detection(HPLC-UV),the extraction performance of the fabricated SS@ZrO2@PDA fiber was evaluated using typical aromatic compounds of polycyclic aromatic hydrocarbons(PAHs),ultraviolet filters(UvFs),phthalate acid esters(PAEs)and chlorophenols(CPs).The SS@ZrO2@PDA fiber showed excellent extraction capability for PAHs and PAEs,however,poor extraction capability for UvFs and no extraction capability for CPs.Therefore,PAHs were selected as target analytes and the key experimental factors on extraction efficiency were optimized.Under the optimized conditions,good linearity was obtained for the developed SPME-HPLC-UV method with the SS@ZrO2@PDA fiber.The limits of detection(LODs,S/N=3)were 0.018-0.082 μg/L.The developed method was successfully applied to determination of trace PAHs in different actual water samples with recoveries of 86.7%-102.4%and RSDs less than 8.2%.In addition,the fabricated novel fiber was simple to prepare and exhibited high stability,good reproducibility and long service life.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective To explore the factors for chemotherapy-induced nausea and vomiting(CINV)in patients with advanced colorectal cancer receiving moderately emetic chemotherapy regimens.Methods 296 patients with colorectal cancer treated with oxaliplatin/irinotecan combination therapy and standard antiemetic prophylaxis regimen at the First Hospital of Jiaxing from July 1,2022 to June 30,2024 were selected,including 164 patients in oxaliplatin combination therapy group and 132 patients in irinotecan combination therapy group.Evaluated the nausea and vomiting status of patients within 5 days after the start of chemotherapy.Analyzed demographic data,medical history data,follow-up data.Results The incidence of CINV in oxaliplatin combination therapy group was 61.59％,and that in irinotecan combination therapy group was 53.79％.The incidence of delayed CINV and severe acute CINV in oxaliplatin combination therapy group were significantly higher than those in irinotecan combination therapy group(P＜0.05).Multivariate analysis showed that the risk factors for acute CINV in the oxaliplatin-based combination regimen were smoking history and CINV history.The risk factors for delayed CINV were age,no history of drinking,history of pregnancy-induced vomiting,motion sickness history,CINV history,and first use of the regimen.For the irinotecan-based combination regimen,the risk factors for acute CINV were motion sickness history and CINV history.The risk factors for delayed CINV were CINV history and anxious emotions.Conclusion When useing standard anti-emetic prophylaxis that still have a high incidence of CINV by moderate emetic chemotherapy drugs in advanced colorectal cancer patients.Patients with high risk factors should actively take preventive measures to control CINV.

Objective:To investigate the biomechanical correlation between ankle instability and osteochondral lesions of the talus (OLT) under loading conditionsMethods:A healthy 29-year-old male volunteer was selected for the study. A 64-slice spiral CT scan of the right lower limb was performed to construct a detailed finite element model of the ankle joint, including ligaments and cartilage. Three injury models were created: models of distal tibiofibular syndesmosis injury, lateral collateral ligament injury, and a combined injury of the distal tibiofibular syndesmosis and lateral collateral ligament. Differences in stress distribution on the tibiotalar joint surface, talus stress, and talus displacement were analyzed through anterior drawer test, inversion stress test, and external rotation stress test.Results:In the anterior drawer test, as the forward traction force increased (40, 60, 80, 100, 120, 140, and 150 N), all the injury models showed a progressive increase in tibiotalar joint surface stress, talus stress, and talus displacement. The combined injury model showed the highest tibiotalar joint surface stress (32.6 MPa), while the lateral collateral ligament injury model demonstrated the highest talus stress (56.5 MPa). Talus displacement increased significantly with traction, reaching the maximum (4.88 mm) in the combined injury model under 150 N. In the inversion stress test, stress on the tibiotalar joint surface in the lateral collateral ligament injury model was concentrated on the posterior-lateral and posterior-medial regions, whereas in the combined injury model, stress on the tibiotalar joint surface was predominantly concentrated in the posterior-medial region. Talus stress was localized to the talus neck and body in all the models, with the combined injury model showing the largest talus displacement (8.46 mm). In the external rotation stress test, stress on the tibiotalar joint surface was mainly distributed in the posterior-medial, posterior-lateral, and anterior-lateral regions in all the models. Talus stress was concentrated at the talus neck and body. The combined injury model exhibited the greatest talus displacement (12.50 mm).Conclusion:Ankle instability, particularly from combined injuries of the distal tibiofibular syndesmosis and lateral collateral ligament, significantly increases the stress concentration and talus displacement under loading conditions, thus elevating the risk of OLT.