OBJECTIVES: To explore potential keywords, research clusters, collaborative pattern, and research trends in the field of medical technology management (MTM) through bibliometric analysis, providing insights for researchers, policy makers, and hospital administrators. METHODS: A retrieval formula was applied to the title, abstract, and keywords in the Web of Science (WoS) Core Collection, along with system-recommended terms, to identify articles on MTM. A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis. The global trend of research output; total citations, average citations, and H-index; and bibliographic coupling, co-authorship, and keyword co-occurrence were analyzed using VOSviewer. RESULTS: The number of articles on MTM has been steadily increasing year by year. The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security. The United States, Italy, and the United Kingdom emerged as the main contributors, with the United States leading in both volume of publications (60 articles) and academic impact (H-index = 21). Authors from the United Kingdom and the United States led the way in cross-border cooperation. The top five institutions, ranked by total link strength among cross-institutional authors, were primarily located in Canada and Spain. CONCLUSIONS The field of MTM has experienced stable growth over the past three decades (1993-2022). The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data. Future research should emphasize interdisciplinary and professional collaboration, as well as international cooperation and open sharing of knowledge.
Bibliometrics ; Humans ; Biomedical Technology

OBJECTIVE: To investigate the clinical characteristics, treatment and prognosis of adult AML patients with NUP98::HOXA9 fusion gene. METHODS: From May 2017 to October 2023， among 2 113 AML patients who visited the Hematology Department of our hospital, patients with NUP98 rearrangements were screened. The clinical characteristics, chromosome karyotypes, immunophenotypes, gene mutations, treatment efficacy and prognosis of the patients with NUP98::HOXA9 positive were analyzed. RESULTS: Among the 2 113 AML patients, there were 18 cases with NUP98 rearrangement, including 14 NUP98::HOXA9 positive cases, with a detection rate of 0.66% (14/2 113). The median age of the NUP98::HOXA9 positive patients was 42.5 (23-64) years old. The most common chromosome karyotype was t(7; 11)(p15; p15). The immunophenotypes of all patients expressed CD13, CD33, CD117 and CD38, and most patients expressed CD34 and cMPO, while only a few expressed HLA-DR. Second-generation sequencing (NGS) was performed to detect genetic mutations associated with leukemia in all 14 patients, and the genes exhibiting a high frequency of mutation were WT1 (10/14), TET2 (7/14), and FLT3-ITD (6/14). Additionally, mutations were also observed in KRAS/NRAS, IDH1, and KIT. Of the 13 patients who received treatment, 9 achieved complete remission (CR), and all 3 patients who received azacytidine(AZA)+ venetoclax (VEN) regimen achieved CR after the first course of treatment. Within this cohort, 6 patients were classified as relapsed/refractory (6/13). 4 patients underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT), of which two achieved long-term survival. The median follow-up time was 12 (2.1-65.0) months, while the median overall survival (OS) and relapse-free survival (RFS) were recorded as 11.4 months and 9.6 months, respectively. CONCLUSION The most common type of NUP98 rearrangement in adults AML patients is NUP98::HOXA9 , which is often accompanied by somatic mutations in WT1, TET2, and FLT3-ITD. These patients are prone to relapse, have short survival time, and generally face poor prognoses. Hopefully, utilization of the AZA+VEN regimen is anticipated to enhance the rate of induced remission in the patients, and some patients may prolong their survival through allo-HSCT. However, more effective treatment methods are still needed to improve the overall prognosis of these patients.
Humans ; Adult ; Leukemia, Myeloid, Acute/genetics* ; Middle Aged ; Prognosis ; Nuclear Pore Complex Proteins/genetics* ; Oncogene Proteins, Fusion/genetics* ; Mutation ; Male ; Female ; Young Adult ; Homeodomain Proteins/genetics*

This study explores how the robotic arm in a dual-arm surgical robot-assisted system stretches soft tissue,and specifically discusses the issue of force control optimization during the stretching.To address the force error challenges posed by non-linear stiffness changes in soft tissue contact,adaptive impedance control scheme is adopted,which combines with an online adaptive strategy to adjust impedance parameters and reference trajectories.The trajectory accuracy improvement through an estimator based on Lyapunov function and impedance parameter adjustment through model predictive control enable the robot to void real-time force overshoot and improve the force convergence speed during the stretching.Experimental results show that the proposed control strategy successfully avoids force overshoot and accelerates force convergence during real-time contact.The proposed approach supports precise force control during soft tissue surgery and lays a foundation for future clinical applications.

Objective To systematically evaluate the effect of early rehabilitation activities on diaphragm function in patients with mechanical ventilation.Methods Computerized system search databases included PubMed,Embase,Web of Science,Cochrane Library,China Biology Medicine disc,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and VIP on the effects of early rehabilitation activities on diaphragm function in patients with mechanical ventilation.The search period was from the creation of the database to March 2025.Two researchers independently performed literature screening,literature quality evaluation,and data extraction.Results 9 papers,including 902 patients,were finally included.Meta-analysis showed that early rehabilitation activities improved diaphragm inspiratory thickness[standard mean difference(SMD)=0.67,95％CI:0.39-0.95,P＜0.000 01],diaphragm expiratory thickness(SMD=0.39,95％CI:0.16-0.63,P=0.0001),diaphragm thickness fraction(SMD=0.76,95％CI:0.58-0.94,P＜0.000 01)and diaphragm excursion(SMD=0.49,95％CI:0.27-0.72,P＜0.000 01),and reduced the incidence of patient failure to withdraw from the machine(relative risk=0.45,95％CI:0.31-0.65,P＜0.0001).Conclusion Early rehabilitation activities can improve diaphragm function in patients with mechanical ventilation,which has good clinical value and is worth standardized promotion and application in intensive care unit;The intervention strategy should be further refined in the future to improve the prevention and treatment strategy of diaphragm dysfunction.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To verify the efficacy of a domestic human DNA quantification kit based on real-time fluorescence quantitative PCR in detecting the total human DNA concentration,male DNA concen-tration in mixed male/female DNA samples,the degree of DNA degradation and inhibitor tolerance.Methods Samples with different concentrations,different male/female ratios,different concentrations of inhibitors,and different degradation degrees were tested using the domestic human DNA quantification kit based on real-time fluorescence quantitative PCR.This kit was compared with a similar product on the market and was applied to the detection of DNA from real cases.Results This human DNA quan-tification kit can effectively detect human DNA as low as 0.001 65 ng/μL,and 6.25 pg/μL of male DNA in mixed samples with a male-to-female ratio of 1∶15 000.Even when the sample contains as high as 400 ng/μL of humic acid or 1 000 μmol/L of hemin alone,the DNA concentration can still be accurately detected.The degradation index can effectively characterize the degradation degree of the sample.This kit has been successfully applied in forensic practice.Conclusion This human DNA quan-tification kit is accurate and reliable in detection.It can accurately reflect the degradation of DNA and inhibitor tolerance.It has good performance in quantitative accuracy,determination of the male/female ratio in mixed samples,and inhibitor tolerance.It has application potential in forensic case examination.

Glutamine provides carbon and nitrogen to support the proliferation of cancer cells. However, the precise reason why cancer cells are particularly dependent on glutamine remains unclear. In this study, we report that glutamine modulates the tumor suppressor F-box and WD repeat domain-containing 7 (FBW7) to promote cancer cell proliferation and survival. Specifically, lysine 604 (K604) in the sixth of the 7 substrate-recruiting WD repeats of FBW7 undergoes glutaminylation (Gln-K604) by glutaminyl tRNA synthetase. Gln-K604 inhibits SCFFBW7-mediated degradation of c-Myc and Mcl-1, enhances glutamine utilization, and stimulates nucleotide and DNA biosynthesis through the activation of c-Myc. Additionally, Gln-K604 promotes resistance to apoptosis by activating Mcl-1. In contrast, SIRT1 deglutaminylates Gln-K604, thereby reversing its effects. Cancer cells lacking Gln-K604 exhibit overexpression of c-Myc and Mcl-1 and display resistance to chemotherapy-induced apoptosis. Silencing both c-MYC and MCL-1 in these cells sensitizes them to chemotherapy. These findings indicate that the glutamine-mediated signal via Gln-K604 is a key driver of cancer progression and suggest potential strategies for targeted cancer therapies based on varying Gln-K604 status.
Glutamine/metabolism* ; Myeloid Cell Leukemia Sequence 1 Protein/genetics* ; Humans ; Proto-Oncogene Proteins c-myc/genetics* ; Cell Proliferation ; Signal Transduction ; Neoplasms/pathology* ; F-Box-WD Repeat-Containing Protein 7/genetics* ; Cell Survival ; Cell Line, Tumor ; Apoptosis

Objective:The study aimed to validate the Neuroception of Psychological Safety Scale (NPSS) in terms of reliability and validity among individuals with mental disorders in China.Methods:The Study followed Brislin′s translation principles to adapt the scale into Chinese. From February to June 2023, a total of 638 hospitalized patients with mental disorders (477 with schizophrenia and 161 with mood disorders) were selected through gender-stratified simple random sampling from the Shanghai Pudong New Area Mental Health Center and the Shanghai Baoshan Mental Health Center. The Chinese version of the NPSS and the Security Questionnaire (SQ) were administered. The reliability of the scale was measured using split-half reliability and test-retest reliability. Validity was assessed through content validity, structural validity, convergent validity, and discriminative validity analyses. In addition, SQ was used as a criterion tool to test the validity of the criterion through Pearson correlation analysis.Results:The Chinese version of the NPSS contained 29 items, with total scores ranging from 29 to 145. Higher total scores indicated greater psychological safety. Item analysis showed a decider value of 10.58 to 20.80 (>3), and the correlation between items and total scores ranged from 0.579 to 0.749 (all P<0.05). The item-level content validity index (I-CVI) for the items ranged from 0.86 to 1.00, while the average scale-level content validity index (S-CVI/Ave) was 0.99. Exploratory factor analysis extracted three common factors: social participation, empathy, and bodily sensations, which is consistent with the structure of the original scale, explaining a cumulative variance contribution rate of 62.551%. Confirmatory analysis revealed a satisfactory model fit, with average variance extracted (AVE) values for the three dimensions ranging from 0.523 to 0.645, and composite reliability(CR) ranging from 0.905 to 0.938. The standard loading coefficients for the items ranged from 0.608 to 0.859, and inter-factor correlation coefficients were all smaller than the square roots of their respective AVE values. Pearson correlation analysis indicated significant positive relationships between the Chinese NPSS and SQ ( r=0.822-0.846, P<0.01). Reliability analysis showed Cronbach′s alpha coefficients of 0.903-0.959 for the total scale and subscales. After a 3-week interval, test-retest reliability (70 patients) ranged from 0.874 to 0.983, and split-half reliability was 0.869-0.969. All model fit indices met established criteria. Conclusions:The Chinese version of the NPSS demonstrates good reliability and validity, making it suitable for both research and clinical applications in assessing psychological security among individuals with schizophrenia and mood disorders.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.