Liu-Fang Wang , Yu-Ni Huang , Richard Sze-Wei Wang , Xiao-Ping Qin , Zhi-Yuan Hu , Bing-Long Wang , Zhi-Min Hu
Objective
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.
目的：通过文献计量分析，探索医疗技术管理（MTM）领域的潜在关键词、研究集群、协同模式和研究趋势，为研究者、决策者和医院管理者提供参考。方法：采用检索公式对Web of Science （WoS）核心馆藏中的标题、摘要和关键词以及系统推荐的术语进行检索，识别MTM上的文章。1974年至2022年间发表的181篇文章被保留下来进行定量分析。全球研究产出趋势；总被引次数、平均被引次数、h指数；使用VOSviewer对文献耦合、合著、关键词共现进行分析。结果：MTM的文章数量逐年稳步增长。研究的重点已从解决基本医疗需求转向优先考虑应急响应和医疗信息安全。美国、意大利和英国成为主要贡献者，其中美国在出版物数量（60篇）和学术影响（h指数= 21）方面都处于领先地位。来自英国和美国的作者引领了跨境合作。根据跨机构作者之间的总联系强度排名，排名前五的大学主要位于加拿大和西班牙。结论：在过去三十年（1993-2022）中，MTM领域经历了稳定的增长。研究重点的转移促使人们更加重视保护患者隐私和确保医疗数据的安全。未来的研究应强调跨学科和专业合作，以及国际合作和知识的开放共享。
{"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":"10.24920/004456","url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 2","pages":"Pages 120-131"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","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}
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 any 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.
{"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":"10.24920/004436","url":null,"abstract":"<div><div>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 any 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.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 2","pages":"Pages 157-160"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","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}
With the development of education and technology, the construction of research public platforms has emerged as a critical initiative for many universities and top-tier public hospitals. The core and most fundamental function of a basic public platform is to aggregate large instruments and specific resources, providing open services for instrumental analysis and sample testing. Optimized management and high-quality, efficient services are essential for such platforms. This article elucidates the construction of a research public platform in West China Hospital, focusing on the adoption of hierarchical management and precise services. The core of the hierarchical management lies in building a multi-level service platform composed of routine support platforms, advanced technology platforms, and specially qualification platforms, while establishing a talent hierarchy that differentiates between core and routine positions. This structure is designed to accurately meet the diverse needs of users and enhance resource efficiency. By implementing user access control with differentiated permissions for internal and external users and a dynamic credit-based review system, the laboratory can ensure safe and efficient operations. The four service modes—instrument usage, in-lab experiments, sample testing, and collaborative projects—are precisely aligned with various research scenarios. Proactive engagement with grant-funded projects, customized services for research groups, and a multidimensional training system further strengthen the platform's support for major scientific research tasks. Through systematic management and service innovation, this model achieves efficient integration and sustainable development of platform resources, providing a valuable reference for the construction of public platforms in similar medical institutions.
{"title":"Construction of a Research Public Platform Based on Hierarchical Management and Precise Services: Experience of West China Hospital","authors":"Xue-Mei Chen, Yan-Jing Zhang, Jin-Kui Pi, Si-Si Wu","doi":"10.24920/004457","DOIUrl":"10.24920/004457","url":null,"abstract":"<div><div>With the development of education and technology, the construction of research public platforms has emerged as a critical initiative for many universities and top-tier public hospitals. The core and most fundamental function of a basic public platform is to aggregate large instruments and specific resources, providing open services for instrumental analysis and sample testing. Optimized management and high-quality, efficient services are essential for such platforms. This article elucidates the construction of a research public platform in West China Hospital, focusing on the adoption of hierarchical management and precise services. The core of the hierarchical management lies in building a multi-level service platform composed of routine support platforms, advanced technology platforms, and specially qualification platforms, while establishing a talent hierarchy that differentiates between core and routine positions. This structure is designed to accurately meet the diverse needs of users and enhance resource efficiency. By implementing user access control with differentiated permissions for internal and external users and a dynamic credit-based review system, the laboratory can ensure safe and efficient operations. The four service modes—instrument usage, in-lab experiments, sample testing, and collaborative projects—are precisely aligned with various research scenarios. Proactive engagement with grant-funded projects, customized services for research groups, and a multidimensional training system further strengthen the platform's support for major scientific research tasks. Through systematic management and service innovation, this model achieves efficient integration and sustainable development of platform resources, providing a valuable reference for the construction of public platforms in similar medical institutions.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 2","pages":"Pages 150-156"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679707","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}
To identify risk factors contributing to prolonged postoperative length of stay (LOS) in very elderly patients following hip fracture surgery, with a focus on postoperative complications and the impact of different anesthesia approaches.
Methods
This retrospective single-center cohort study enrolled patients aged 90 years or older who underwent hip fracture surgery at Peking Union Medical College Hospital between January 31, 2013 and December 31, 2023. Relevant perioperative data were collected. The primary outcome was postoperative LOS, and the study cohort was divided into two groups: postoperative LOS ≤ 7 days and LOS > 7 days. Logistic regression was performed to identify factors related to prolonged postoperative LOS.
Results
A total of 155 patients were included. The average age was 92.7 ± 2.6 years. There were 73 (47%) patients with postoperative LOS > 7 days. Postoperative pneumonia was the only factor associated with a prolonged postoperative LOS (OR = 2.12, 95% CI [1.09, 4.16], P = 0.028). Neither the type of anesthesia (regional vs. general anesthesia, OR = 1.00, 95% CI [0.53, 1.90], P = 0.993) nor the method of airway management (laryngeal mask ventilation vs. spontaneous breathing, OR = 1.46, 95% CI [0.58, 3.76], P = 0.424; endotracheal intubation vs. spontaneous breathing, OR = 0.82, 95% CI [0.39, 1.69], P = 0.592) showed a significant association with a prolonged postoperative LOS. Preoperative chronic obstructive pulmonary disease (OR = 2.78, 95% CI [1.05, 7.65], P = 0.040) and preoperative neutrophil count (OR = 1.13, 95% CI [1.01, 1.26], P = 0.029) were both significantly associated with the occurrence of postoperative pneumonia, while anesthesia type and airway management method were not.
Conclusions
Postoperative pneumonia was associated with prolonged postoperative LOS in very elderly patients undergoing hip fracture surgery, whereas anesthesia types and airway management methods show no association with prolonged postoperative LOS or postoperative pneumonia. Preoperative comorbidities, especially respiratory conditions and systemic inflammation, potentially play a substantial role in postoperative recovery.
目的探讨高龄髋部骨折术后患者术后住院时间（LOS）延长的危险因素，重点分析术后并发症及不同麻醉方式的影响。方法回顾性单中心队列研究纳入2013年1月31日至2023年12月31日在北京协和医院行髋部骨折手术的90岁及以上患者。收集围手术期相关资料。主要终点为术后LOS，研究队列分为两组：术后LOS≤7天和LOS >；7天。采用Logistic回归分析确定与术后LOS延长相关的因素。结果共纳入155例患者。平均年龄92.7±2.6岁。术后发生LOS >患者73例（47%）；7天。术后肺炎是与术后LOS延长相关的唯一因素（OR = 2.12, 95% CI [1.09, 4.16], P = 0.028）。麻醉类型（区域麻醉vs全麻，OR = 1.00, 95% CI [0.53, 1.90], P = 0.993）和气道管理方法(喉罩通气vs自主呼吸，OR = 1.46, 95% CI [0.58, 3.76], P = 0.424；气管插管与自主呼吸（OR = 0.82, 95% CI [0.39, 1.69], P = 0.592）显示与术后LOS延长有显著相关。术前慢性阻塞性肺疾病（OR = 2.78, 95% CI [1.05, 7.65], P = 0.040）和术前中性粒细胞计数（OR = 1.13, 95% CI [1.01, 1.26], P = 0.029）与术后肺炎的发生均有显著相关性，而麻醉类型和气道管理方式与术后肺炎的发生无显著相关性。结论高龄髋部骨折患者术后肺炎与术后LOS延长相关，而麻醉类型和气道管理方式与术后LOS延长或术后肺炎无关。术前合并症，特别是呼吸系统疾病和全身性炎症，可能在术后恢复中发挥重要作用。
{"title":"Risk Factors for Prolonged Postoperative Length of Stay After Hip Fracture Surgery in Very Elderly Patients","authors":"Bo-Wen Xu, Wei-Yun Chen, Chen Sun, Ling Lan, Lu-Lu Ma, Li-Jian Pei","doi":"10.24920/004465","DOIUrl":"10.24920/004465","url":null,"abstract":"<div><h3>Objective</h3><div>To identify risk factors contributing to prolonged postoperative length of stay (LOS) in very elderly patients following hip fracture surgery, with a focus on postoperative complications and the impact of different anesthesia approaches.</div></div><div><h3>Methods</h3><div>This retrospective single-center cohort study enrolled patients aged 90 years or older who underwent hip fracture surgery at Peking Union Medical College Hospital between January 31, 2013 and December 31, 2023. Relevant perioperative data were collected. The primary outcome was postoperative LOS, and the study cohort was divided into two groups: postoperative LOS ≤ 7 days and LOS > 7 days. Logistic regression was performed to identify factors related to prolonged postoperative LOS.</div></div><div><h3>Results</h3><div>A total of 155 patients were included. The average age was 92.7 ± 2.6 years. There were 73 (47%) patients with postoperative LOS > 7 days. Postoperative pneumonia was the only factor associated with a prolonged postoperative LOS (<em>OR</em> = 2.12, 95% <em>CI</em> [1.09, 4.16], <em>P</em> = 0.028). Neither the type of anesthesia (regional vs. general anesthesia, <em>OR =</em> 1.00, 95% <em>CI</em> [0.53, 1.90], <em>P</em> = 0.993) nor the method of airway management (laryngeal mask ventilation vs. spontaneous breathing, <em>OR</em> = 1.46, 95% <em>CI</em> [0.58, 3.76], <em>P</em> = 0.424; endotracheal intubation vs. spontaneous breathing, <em>OR =</em> 0.82, 95% <em>CI</em> [0.39, 1.69], <em>P</em> = 0.592) showed a significant association with a prolonged postoperative LOS. Preoperative chronic obstructive pulmonary disease (<em>OR</em> = 2.78, 95% <em>CI</em> [1.05, 7.65], <em>P</em> = 0.040) and preoperative neutrophil count (<em>OR</em> = 1.13, 95% <em>CI</em> [1.01, 1.26], <em>P</em> = 0.029) were both significantly associated with the occurrence of postoperative pneumonia, while anesthesia type and airway management method were not.</div></div><div><h3>Conclusions</h3><div>Postoperative pneumonia was associated with prolonged postoperative LOS in very elderly patients undergoing hip fracture surgery, whereas anesthesia types and airway management methods show no association with prolonged postoperative LOS or postoperative pneumonia. Preoperative comorbidities, especially respiratory conditions and systemic inflammation, potentially play a substantial role in postoperative recovery.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 2","pages":"Pages 111-119"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679705","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}
To clarify the causal relationship between the level of cytoplasmic unactivated mineralocorticoid receptor (MR) and the development of tubulointerstitial nephritis (TIN), and to evaluate the impact of MR on dyslipidemia, particularly secondary hyperlipemia, in patients with diabetic kidney disease.
Methods
We conducted a two-sample Mendelian randomization study using genome-wide association study (GWAS) summary data. Genetic variants associated with MR levels were selected as exposures, with TIN and lipid profiles [including low-density lipoprotein cholesterol (LDL-C), triglyceride, and high-density lipoprotein cholesterol] as outcomes. A two-step Mendelian randomization approach was used to assess TIN as a mediator, employing inverse variance weighted regression as the primary analysis, supplemented by Mendelian randomization-Egger, weighted median, and sensitivity analyses.
Results
Cytoplasmic unactivated MR level exhibited a significant causal association with a decreased risk of TIN (OR = 0.8598, 95% CI [0.7775 – 0.9508], P < 0.001). Although no significant causal relationship was identified between MR level and secondary hyperlipemia, a potential association of cytoplasmic unactivated MR level with lower LDL-C levels was observed (OR = 0.9901, 95% CI [0.9821–0.9983], P = 0.018). Additionally, TIN exhibited causal links with secondary hyperlipemia (OR = 1.0016, 95% CI [1.0002–1.0029], P = 0.020) and elevated LDL-C (OR = 1.0111, 95% CI [1.0024–1.0199], P = 0.012), particularly LDL-C in European males (OR = 1.0230, 95% CI [1.0103–1.0358], P < 0.001). Inverse Mendelian randomization analysis revealed causal relationships between TIN and genetically predicted triglyceride (OR = 0.7027, 95% CI [0.6189–0.7978], P < 0.001), high-density lipoprotein cholesterol (OR = 1.1247, 95% CI [1.0019–1.2626], P = 0.046), and LDL-C (OR = 0.8423, 95% CI [0.7220–0.9827], P = 0.029). Notably, TIN mediated 16.7% of the causal association between MR and LDL-C levels.
Conclusions
MR plays a critical role in the development of TIN and lipid metabolism, highlighting the potential of MR-antagonists in reducing renal damage and lipid metabolism-associated complications.
目的探讨胞质未激活矿皮质激素受体（MR）水平与肾小管间质性肾炎（TIN）发生的因果关系，评价MR对糖尿病肾病患者血脂异常特别是继发性高脂血症的影响。方法采用全基因组关联研究（GWAS）汇总数据进行双样本孟德尔随机化研究。选择与MR水平相关的遗传变异作为暴露，以TIN和脂质谱（包括低密度脂蛋白胆固醇（LDL-C）、甘油三酯和高密度脂蛋白胆固醇）作为结果。采用两步孟德尔随机化方法评估TIN作为中介的作用，采用反方差加权回归作为主要分析，辅以孟德尔随机化- egger、加权中位数和敏感性分析。结果胞浆非活化MR水平与TIN风险降低有显著的因果关系(OR = 0.8598, 95% CI [0.7775 ~ 0.9508], P <；0.001)。虽然没有发现MR水平与继发性高脂血症之间存在显著的因果关系，但我们观察到细胞质未激活MR水平与较低的LDL-C水平之间存在潜在的关联（OR = 0.9901, 95% CI [0.9821-0.9983], P = 0.018）。此外，TIN与继发性高脂血症（OR = 1.0016, 95% CI [1.0002-1.0029], P = 0.020）和LDL-C升高（OR = 1.0111, 95% CI [1.0024-1.0199], P = 0.012），尤其是欧洲男性LDL-C升高(OR = 1.0230, 95% CI [1.0103-1.0358], P <；0.001)。反孟德尔随机化分析显示，TIN与遗传预测的甘油三酯之间存在因果关系(OR = 0.7027, 95% CI [0.6189-0.7978], P <；0.001)、高密度脂蛋白胆固醇（OR = 1.1247, 95% CI [1.0019-1.2626], P = 0.046）和LDL-C （OR = 0.8423, 95% CI [0.720 - 0.9827], P = 0.029）。值得注意的是，TIN介导了MR和LDL-C水平之间16.7%的因果关系。结论smr在TIN和脂质代谢的发展中起关键作用，强调mr拮抗剂在减少肾损害和脂质代谢相关并发症方面的潜力。
{"title":"Causal Relationships Between Mineralocorticoid Receptor Activation and Tubulointerstitial Nephritis and Lipid Metabolism Dysregulation: A Mendelian Randomization Study","authors":"Min He , Xiao-Ping Yang","doi":"10.24920/004447","DOIUrl":"10.24920/004447","url":null,"abstract":"<div><h3>Objective</h3><div>To clarify the causal relationship between the level of cytoplasmic unactivated mineralocorticoid receptor (MR) and the development of tubulointerstitial nephritis (TIN), and to evaluate the impact of MR on dyslipidemia, particularly secondary hyperlipemia, in patients with diabetic kidney disease.</div></div><div><h3>Methods</h3><div>We conducted a two-sample Mendelian randomization study using genome-wide association study (GWAS) summary data. Genetic variants associated with MR levels were selected as exposures, with TIN and lipid profiles [including low-density lipoprotein cholesterol (LDL-C), triglyceride, and high-density lipoprotein cholesterol] as outcomes. A two-step Mendelian randomization approach was used to assess TIN as a mediator, employing inverse variance weighted regression as the primary analysis, supplemented by Mendelian randomization-Egger, weighted median, and sensitivity analyses.</div></div><div><h3>Results</h3><div>Cytoplasmic unactivated MR level exhibited a significant causal association with a decreased risk of TIN (<em>OR</em> = 0.8598, 95% <em>CI</em> [0.7775 – 0.9508], <em>P</em> < 0.001). Although no significant causal relationship was identified between MR level and secondary hyperlipemia, a potential association of cytoplasmic unactivated MR level with lower LDL-C levels was observed (<em>OR =</em> 0.9901, 95% <em>CI</em> [0.9821–0.9983], <em>P</em> = 0.018). Additionally, TIN exhibited causal links with secondary hyperlipemia (<em>OR =</em> 1.0016, 95% <em>CI</em> [1.0002–1.0029], <em>P</em> = 0.020) and elevated LDL-C (<em>OR =</em> 1.0111, 95% <em>CI</em> [1.0024–1.0199], <em>P</em> = 0.012), particularly LDL-C in European males (<em>OR =</em> 1.0230, 95% <em>CI</em> [1.0103–1.0358], <em>P</em> < 0.001). Inverse Mendelian randomization analysis revealed causal relationships between TIN and genetically predicted triglyceride (<em>OR =</em> 0.7027, 95% <em>CI</em> [0.6189–0.7978], <em>P</em> < 0.001), high-density lipoprotein cholesterol (<em>OR =</em> 1.1247, 95% <em>CI</em> [1.0019–1.2626], <em>P</em> = 0.046), and LDL-C (<em>OR =</em> 0.8423, 95% <em>CI</em> [0.7220–0.9827], <em>P</em> = 0.029). Notably, TIN mediated 16.7% of the causal association between MR and LDL-C levels.</div></div><div><h3>Conclusions</h3><div>MR plays a critical role in the development of TIN and lipid metabolism, highlighting the potential of MR-antagonists in reducing renal damage and lipid metabolism-associated complications.</div></div>","PeriodicalId":35615,"journal":{"name":"Chinese Medical Sciences Journal","volume":"40 2","pages":"Pages 132-143"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679706","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}
Mao You , Yue Xiao , Han Yao , Xue-Qing Tian , Li-Wei Shi , Ying-Peng Qiu
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.
{"title":"Evaluation and Regulation of Medical Artificial Intelligence Applications in China","authors":"Mao You , Yue Xiao , Han Yao , Xue-Qing Tian , Li-Wei Shi , 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}
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.
Methods
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.
Results
The atlas was structured hierarchically, consisting of 16 compartments, 54 classes, 4,460 low-level clusters (pd_cc_cl_tfs), and 611 high-level clusters (pmid_cts). 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.
Conclusion
scPANDA exemplifies effective reference mapping with a large-scale atlas, enhancing the accuracy and reliability of blood cell type identification.
{"title":"scPANDA: PAN-Blood Data Annotator with a 10-Million Single-Cell Atlas","authors":"Chang-Xiao Li, Can Huang, 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}
Hong-Yu Fu, Yang-Yang Liu, Mei-Yi Zhang, Hai-Xiu Yang
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.
{"title":"Enrichment Analysis and Deep Learning in Biomedical Ontology: Applications and Advancements","authors":"Hong-Yu Fu, Yang-Yang Liu, Mei-Yi Zhang, 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}
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.
{"title":"Diversity, Complexity, and Challenges of Viral Infectious Disease Data in the Big Data Era: A Comprehensive Review","authors":"Yun Ma , Lu-Yao Qin , Xiao Ding , 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, Jing-Chen Zhang, 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}
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