癌症预后预测模型研究趋势与前沿的可视化分析  

Visualization analysis of research trends and frontiers of cancer prognosis prediction models

作　　者：高梦瑶 刘涛 苏维强 丁淑婷 张震 杨彬 孔雨佳 Gao Mengyao;Liu Tao;Su Weiqiang;Ding Shuting;Zhang Zhen;Yang Bin;Kong Yujia(School of Public Health,Shandong Second Medical University,Weifang 261053,China;Weifang Binhai Middle School,Weifang 261108,China;Department of Ultrasound Medicine,Baoji Maternal and Child Health Hospital,Baoji 721004,China)

机构地区：[1]山东第二医科大学公共卫生学院,山东潍坊261053 [2]潍坊滨海中学,山东潍坊261108 [3]陕西宝鸡市妇幼保健院超声医学科,陕西宝鸡721004

出　　处：《中国医院统计》2024年第6期473-480,共8页Chinese Journal of Hospital Statistics

基　　金：国家自然科学基金项目(82003560);山东省自然科学基金项目(ZR2020MH340,ZR2023MH313);山东省本科高校教学改革研究项目(M2021174,M2021327);陕西省科技计划项目(2024SF-YBXM-256)。

摘　　要：目的通过对癌症预后预测模型相关研究进行计量学统计及可视化分析,梳理近10年该领域的研究热点与发展趋势,为癌症预后预测模型的研究提供参考和借鉴。方法以Web of Science、PubMed以及中国知网(CNKI)数据库为中英文检索源,基于CiteSpace、VOSviewer软件及R语言bibliometrix包对2013-01-01—2024-06-15期间中英文检索源中发表的关于癌症预后预:测模型的文献进行分析和可视化圈谱的绘制。结果通过CNKI数据库检索,共获取1341篇中文文献,经过去重后,保留1322篇有效文献。通过W0S和PubMed数据库检索,分别得到2069篇和3284篇英文文献。经合并与去重处理后,英文文献总计保留4908篇有效文献。2013—2024年总体发文趋势呈上升状态,英文文献发文量最多的国家为中国(2270篇),发文量最多的机构为复旦大学(268篇),而中文文献发文量最多的机构仅5篇。发表中文文献最多的作者是王德斌(5篇)、柴静(5篇)和刘洋(5篇),发表英文文献最多的作者是Wang Wei(24篇)。中英文文献高强度突现词均为乳腺癌(中文突现强度:8.95,英文突现强度:11.06),聚类结果显示结直肠癌、膀胱癌、前列腺癌、机器学习等的相关研究较为突出。结论癌症预后预测模型的研究受到越来越多专家学者的关注,涵盖更多的癌症类型和更丰富的研究方法,机器学习算法被更多的使用,而列线图将结果可视化来更好地指导临床实践。全基因组关联分析在癌症预后预测领域的应用有望成为具有潜在前景的研究方向。国家、机构和作者间的普遍合作关系尚未建立,有必要进一步加强合作以实现学术的深度交融。铁死亡和铜死亡的抑癌机制得到更多关注,具有广阔的临床研究前景。Objective The stady aimed to sort out the research hotspots and development trend in this field in the past 10 years,and to provide reference for the research of cancer prognosis prediction model,through the econometric statistics and visual analysis of the related research of cancer prognosis prediction model.Methods Web of Science,PubMed,and CNKI databases were used as the search sources,and the literature on cancer prognosis prediction model published in the Chinese and English search sources from Jan.1st,2013 to June 15th,2024 was analyzed and visualized based on CiteSpace,VOSviewer software,and the bibliometrix package of the R language.Results A total of 1341 Chinese articles were retrieved through the CNKI database,with 1322 valid articles remaining after deduplication.From the WOS and PubMed databases,2069 and 3284 English articles were retrieved,respectively.After merging and deduplication,4908 valid English articles were retained.The overall trend of publications from 2013 to 2024 was upward.The country with the most publications in English literature was China(2270 articles),the institution with the most publications was Fudan University(268 articles),and the institution with the most publications in Chinese literature had only five articles.The authors who have published the most Chinese literatures were Wang Debin(5 articles),Chai Jing(5 articles),and Liu Yang(5 articles),and the author who published the most English literature was Wang Wei(24 articles).The high-strength emergent words in both Chinese and English literature were breast cancer(Chinese emergent strength:8.95,English emergent strength:11.06),and the clustering results showed that the related studies of colorectal cancer,bladder cancer,prostate cancer,machine learning were more prominent.Conclusion Cancer prognostic prediction modeling is receiving more and more attention from experts and scholars,covering more cancer types and richer research methods.Machine learning algorithms are being used more often,and the nomogram visualizes the r

关 键 词：癌症 预后预测模型 可视化分析 CITESPACE VOSviewer bibliometrix包 

分 类 号：R73[医药卫生—肿瘤]