Chinese Medical Sciences Journal最新文献

{"title":"Global Research of Medical Technology Management: A Bibliometric Analysis.","authors":"Liu-Fang Wang, Yu-Ni Huang, Richard Sze-Wei Wang, Xiao-Ping Qin, Zhi-Yuan Hu, Bing-Long Wang, Zhi-Min Hu","doi":"10.24920/004456","DOIUrl":"https://doi.org/10.24920/004456","url":null,"abstract":"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":" ","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Initial Validation of the Multi-dimensional Attention Rating Scale in Highly Educated Adults.","authors":"Xin-Yang Zhang, Karen Spruyt, Jia-Yue Si, Lin-Lin Zhang, Ting-Ting Wu, Yan-Nan Liu, Di-Ga Gan, Yu-Xin Hu, Si-Yu Liu, Teng Gao, Yi Zhong, Yao Ge, Zhe Li, Zi-Yan Lin, Yan-Ping Bao, Xue-Qin Wang, Yu-Feng Wang, Lin Lu","doi":"10.24920/004481","DOIUrl":"https://doi.org/10.24920/004481","url":null,"abstract":"<p><strong>Objectives: </strong>To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels.</p><p><strong>Methods: </strong>The MARS was developed based on Classical Test Theory (CTT) , with initial item selection and content validation conducted by six experts in psychiatry and psychology using the Delphi method. Healthy adult participants were recruited to complete the MARS and related scales, along with on-site measures. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Networks Test (ANT).</p><p><strong>Results: </strong>The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition. Cronbach's alpha for the MARS was 0.78, with test-retest reliability of 0.81. Four factors were identified (cumulative variance 68.79%). The content validity was evaluated by six experts, yielding an average content validity index (CVI) of 0.95. The MARS was correlated positively with THAT (<i>r</i> = 0.60, <i>P</i> < 0.01) and ACS (<i>r</i> = 0.78, <i>P</i> < 0.01) and negatively with ANT's reaction time (RT) alerting measure (<i>r</i> = -0.31, <i>P</i> = 0.049).</p><p><strong>Conclusions: </strong>The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing various attention impairments in different mental disorders.</p>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":" ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chinese Expert Consensus on the Definitions of Palliative Care and Hospice Care (2025).","authors":"Ning Xiao-Hong","doi":"10.24920/004496","DOIUrl":"https://doi.org/10.24920/004496","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;BACKGROUND AND OBJECTIVE&lt;/b&gt;: The development of modern palliative care in China began in the 1980s and is currently in an accelerating phase. However, inconsistencies in terminology and concepts have hindered policy-making, clinical practice, and academic research. The Terminology of Clinical Medicine (2023 edition) has determined Huan-He-Yi-Liao () and An-Ning-Liao-Hu () as the formal terms of \"palliative care\" and \"hospice care\", respectively. To align with these terms, this study aims to establish expert consensus definitions tailored to the Chinese context. &lt;b&gt;METHODS&lt;/b&gt;: We systematically retrieved and collected domestic and international literature and policy documents related to the definition of palliative care, then deconstructed and analyzed the relevant conceptual elements of these definitions. Core expert panel built the initial recommended definition upon the conceptual elements and consensus definition of palliative care by the International Association for Hospice and Palliative Care (IAHPC) through two rounds of online discussions. After nomination and selection, 61 professionals in the field of palliative care in china were invited to participate in the consensus expert group. Two rounds of Delphi consultation were conducted among the consensus experts, who were asked to score their agreement using Likert scale to the items in the initial recommended definition and the definition statements of palliative care and hospice care. Agreement rate of over 80% was considered as reaching consensus for each items. The core expert panel revised the items and the statements of recommended definitions based on the results from two-round of Delphi surveys. The final recommended definitions were formulated after feedback from patient and public involvement (PPI) group members. &lt;b&gt;RESULTS&lt;/b&gt;: The response rates for the first and second rounds of Delphi survey were 83.6% and 100.0%, respectively. The agreement rate of the items and statements of the recommended definitions exceeded 90%. Accordingly, the definitions based on Chinese expert consensus are recommended. Palliative care is an active holistic approach aimed at patients of all ages suffering from life-threatening illness and their families and caregivers. It seeks to improve their quality of life by preventing, assessing, and relieving physical, psychological, social, and spiritual suffering. Hospice care is an integral part of palliative care, focusing on holistic care for patients at the end of life and their families and caregivers. Its goal is to help patients to maintain dignity and achieve a good death by alleviating physical, psychological, social, and spiritual distress without intentionally hastening or postponing death, meanwhile improve the quality of life for families and caregivers. &lt;b&gt;CONCLUSIONS&lt;/b&gt;: This study has established the Chinese expert consensus definitions of palliative care and hospice care in China, as well as the relationship between the two. The","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 2","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acquired Anterior Urethral Diverticulum Resulting from Long-Term Use of a Penile Clamp for Incontinence Management Following Prostatectomy: A Case Report.","authors":"Xiao-Qin Jiang, Di Gu, Yin-Hui Yang","doi":"10.24920/004436","DOIUrl":"https://doi.org/10.24920/004436","url":null,"abstract":"<p><p>We report a case involving an 85-year-old man who underwent laparoscopic radical prostatectomy for prostate cancer in 2011. During follow-up, he required long-term use of a penile clamp to manage urination due to permanent severe stress incontinence. In February 2023, he presented with a painless cystic mass in the scrotum. Upon pressing the mass with hand, fluid drained from the external urethral orifice, causing the mass to shrink in size, although it returned to its original size a few hours later. Urography and cystoscopy showed a globular urethral diverticulum located anteriorly. The patient underwent surgical excision of the diverticulum along with urethroplasty. Postoperatively, the urinary stress incontinence persisted, but he declined further surgical intervention. An artificial urinary sphincter is currently the first-line treatment for male urinary incontinence. However, devices such as penile clamps can serve as an alternative when considering surgical suitability or cost. It is important to note that these devices can lead to serious complications such as urethral erosion, stricture, or diverticulum. Therefore, caution is advised when using such devices, and they should be removed periodically at short intervals.</p>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":" ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation and Regulation of Medical Artificial Intelligence Applications in China","authors":"Mao You ,&nbsp;Yue Xiao ,&nbsp;Han Yao ,&nbsp;Xue-Qing Tian ,&nbsp;Li-Wei Shi ,&nbsp;Ying-Peng Qiu","doi":"10.24920/004473","DOIUrl":"10.24920/004473","url":null,"abstract":"<div><div>Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a “regulatory sandbox” model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 1","pages":"Pages 3-8"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143753736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"scPANDA: PAN-Blood Data Annotator with a 10-Million Single-Cell Atlas","authors":"Chang-Xiao Li,&nbsp;Can Huang,&nbsp;Dong-Sheng Chen","doi":"10.24920/004472","DOIUrl":"10.24920/004472","url":null,"abstract":"<div><h3>Objective</h3><div>Recent advancements in single-cell RNA sequencing (scRNA-seq) have revolutionized the study of cellular heterogeneity, particularly within the hematological system. However, accurately annotating cell types remains challenging due to the complexity of immune cells. To address this challenge, we develop a PAN-blood single-cell Data Annotator (scPANDA), which leverages a comprehensive 10-million-cell atlas to provide precise cell type annotation.</div></div><div><h3>Methods</h3><div>The atlas, constructed from data collected in 16 studies, incorporated rigorous quality control, preprocessing, and integration steps to ensure a high-quality reference for annotation. scPANDA utilizes a three-layer inference approach, progressively refining cell types from broad compartments to specific clusters. Iterative clustering and harmonization processes were employed to maintain cell type purity throughout the analysis. Furthermore, the performance of scPANDA was evaluated in three external datasets.</div></div><div><h3>Results</h3><div>The atlas was structured hierarchically, consisting of 16 compartments, 54 classes, 4,460 low-level clusters (<em>pd_cc_cl_tfs</em>), and 611 high-level clusters (<em>pmid_cts</em>). Robust performance of the tool was demonstrated in annotating diverse immune scRNA-seq datasets, analyzing immune-tumor coexisting clusters in renal cell carcinoma, and identifying conserved cell clusters across species.</div></div><div><h3>Conclusion</h3><div>scPANDA exemplifies effective reference mapping with a large-scale atlas, enhancing the accuracy and reliability of blood cell type identification.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 1","pages":"Pages 68-87"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enrichment Analysis and Deep Learning in Biomedical Ontology: Applications and Advancements","authors":"Hong-Yu Fu,&nbsp;Yang-Yang Liu,&nbsp;Mei-Yi Zhang,&nbsp;Hai-Xiu Yang","doi":"10.24920/004464","DOIUrl":"10.24920/004464","url":null,"abstract":"<div><div>Biomedical big data, characterized by its massive scale, multi-dimensionality, and heterogeneity, offers novel perspectives for disease research, elucidates biological principles, and simultaneously prompts changes in related research methodologies. Biomedical ontology, as a shared formal conceptual system, not only offers standardized terms for multi-source biomedical data but also provides a solid data foundation and framework for biomedical research. In this review, we summarize enrichment analysis and deep learning for biomedical ontology based on its structure and semantic annotation properties, highlighting how technological advancements are enabling the more comprehensive use of ontology information. Enrichment analysis represents an important application of ontology to elucidate the potential biological significance for a particular molecular list. Deep learning, on the other hand, represents an increasingly powerful analytical tool that can be more widely combined with ontology for analysis and prediction. With the continuous evolution of big data technologies, the integration of these technologies with biomedical ontologies is opening up exciting new possibilities for advancing biomedical research.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 1","pages":"Pages 45-56"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diversity, Complexity, and Challenges of Viral Infectious Disease Data in the Big Data Era: A Comprehensive Review","authors":"Yun Ma ,&nbsp;Lu-Yao Qin ,&nbsp;Xiao Ding ,&nbsp;Ai-Ping Wu","doi":"10.24920/004461","DOIUrl":"10.24920/004461","url":null,"abstract":"<div><div>Viral infectious diseases, characterized by their intricate nature and wide-ranging diversity, pose substantial challenges in the domain of data management. The vast volume of data generated by these diseases, spanning from the molecular mechanisms within cells to large-scale epidemiological patterns, has surpassed the capabilities of traditional analytical methods. In the era of artificial intelligence (AI) and big data, there is an urgent necessity for the optimization of these analytical methods to more effectively handle and utilize the information. Despite the rapid accumulation of data associated with viral infections, the lack of a comprehensive framework for integrating, selecting, and analyzing these datasets has left numerous researchers uncertain about which data to select, how to access it, and how to utilize it most effectively in their research. This review endeavors to fill these gaps by exploring the multifaceted nature of viral infectious diseases and summarizing relevant data across multiple levels, from the molecular details of pathogens to broad epidemiological trends. The scope extends from the micro-scale to the macro-scale, encompassing pathogens, hosts, and vectors. In addition to data summarization, this review thoroughly investigates various dataset sources. It also traces the historical evolution of data collection in the field of viral infectious diseases, highlighting the progress achieved over time. Simultaneously, it evaluates the current limitations that impede data utilization. Furthermore, we propose strategies to surmount these challenges, focusing on the development and application of advanced computational techniques, AI-driven models, and enhanced data integration practices. By providing a comprehensive synthesis of existing knowledge, this review is designed to guide future research and contribute to more informed approaches in the surveillance, prevention, and control of viral infectious diseases, particularly within the context of the expanding big-data landscape.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 1","pages":"Pages 29-44"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strengthening Biomedical Big Data Management and Unleashing the Value of Data Elements","authors":"Wei Zhou,&nbsp;Jing-Chen Zhang,&nbsp;De-Pei Liu","doi":"10.24920/004471","DOIUrl":"10.24920/004471","url":null,"abstract":"","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 1","pages":"Pages 1-2"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Spaces in Medicine and Health: Technologies, Applications, and Challenges","authors":"Wan-Fei Hu,&nbsp;Si-Zhu Wu,&nbsp;Qing Qian","doi":"10.24920/004466","DOIUrl":"10.24920/004466","url":null,"abstract":"<div><div>Data space, as an innovative data management and sharing model, is emerging in the medical and health sectors. This study expounds on the conceptual connotation of data space and delineates its key technologies, including distributed data storage, standardization and interoperability of data sharing, data security and privacy protection, data analysis and mining, and data space assessment. By analyzing the real-world cases of data spaces within medicine and health, this study compares the similarities and differences across various dimensions such as purpose, architecture, data interoperability, and privacy protection. Meanwhile, data spaces in these fields are challenged by the limited computing resources, the complexities of data integration, and the need for optimized algorithms. Additionally, legal and ethical issues such as unclear data ownership, undefined usage rights, risks associated with privacy protection need to be addressed. The study notes organizational and management difficulties, calling for enhancements in governance framework, data sharing mechanisms, and value assessment systems. In the future, technological innovation, sound regulations, and optimized management will help the development of the medical and health data space. These developments will enable the secure and efficient utilization of data, propelling the medical industry into an era characterized by precision, intelligence, and personalization.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 1","pages":"Pages 18-28"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143754904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}