Objective To comprehend the concept， pathology， molecular mechanisms， diagnosis， and treatmentof aggressive fibromatosis （AF）， and to find a novel way to cure aggressive fibromatosis. Method The literatures about the definition， molecular mechanisms， and clinical research of AF were reviewed and analized. Results AF is rare and benign fibromatous lesion that is the result of abnormal proliferation of myofibroblasts. The pathologic features of AF isa benign disease， but it has “malignant” biological behavior. The tumor often involved the surrounding organs and bloodvessels， and caused death of patients. For patients with clinical symptoms or complications， complete excision of thetumor is the treatment of choice. Even if the operation to ensure the negative margin also has a higher recurrence rate， soits treatment requires multidisciplinary treatment. Conclusions The mechanism of AF is very complex， and it’s mecha-nism is still unclear. Clinical management of patients with AF is difficult and controversial， at present， the most effective treatment for AF is operation resection. The effects of adjuvant radiotherapy， chemotherapy， and other treatment after operation for AF still need further study.
目的 以问卷调查形式了解患者对就医现状及医患关系的认知度，以期为医疗机构管理者完善医疗服务行为，构建和谐医患关系提供参考依据。 方法 2009年8月－11月，采用自制问卷对6所不同医院因伤/病住院治疗终结患者进行调查，并对调查结果进行统计分析。 结果 大多数被调查者认为目前“看病贵”，且收入水平对医疗服务的选择有影响；医患信任程度与医患沟通呈正相关；被调查者对医患纠纷的认知主要来自于媒体的报导，且认为媒体报导是公正的。 结论 医疗机构管理者应强化医护人员“以人为本”的理念，加强医患沟通，以防范服务性医患纠纷；政府应深化医药卫生体制改革，以解决“看病贵”问题；媒体应加大力度宣传普及医疗相关法律法规及知识，以引导人民群众尽可能正确客观看待医疗结果，摒除不切实际的医疗高期待。
Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.