基于模型的Meta分析概况:文献计量学分析  

Review of model-based meta-analysis:bibliometric analysis

作　　者：王锐 何华 刘凤琪 杨智荣 夏琳 刘东阳 李戈[6] 孙凤[2] WANG Rui;HE Hua;LIU Fengqi;YANG Zhirong;XIA Lin;LIU Dongyang;LI Ge;SUN Feng(School of Chinese Materia Medica,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,P.R.China;Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing 100191,P.R.China;Faculty of Computer Science and Control Engineering,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,P.R.China;Research Center for Biomedical Information Technology,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,P.R.China;Drug Clinical Trial Center,Peking University Third Hospital,Beijing 100191,P.R.China;College of Public Health Science and Engineering,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,P.R.China)

机构地区：[1]天津中医药大学中药学院,天津301617 [2]北京大学公共卫生学院流行病与卫生统计学系,北京100191 [3]深圳理工大学计算机科学与控制工程学院,广东深圳518055 [4]中国科学院深圳先进技术研究院生物医学信息技术研究中心,广东深圳518055 [5]北京大学第三医院药学部药理基地,北京100191 [6]天津中医药大学公共卫生与健康科学学院,天津301617

出　　处：《中国循证医学杂志》2023年第11期1290-1298,共9页Chinese Journal of Evidence-based Medicine

基　　金：中国药品监管科学行动计划第二批重点项目(编号:No.[2021]37-10);中国中医药循证医学中心“业务研究室主任专项”(编号:2020YJSZX-2);国家自然科学基金项目(编号:72074011)。

摘　　要：目的对基于模型的Meta分析(Model-based Meta-analysis,MBMA)的数据集进行文献计量学分析,挖掘MBMA研究趋势。方法计算机检索Embase、MEDLINE、Cochrane Library、Web of Science、CNKI、VIP、WanFang Data和Sino Med,检索时限为建库至2023年2月28日,收集与MBMA相关研究,定性和定量分析作者贡献、时间趋势、国家分布及疾病分布。结果共纳入文献129篇,文献发表量前三国家为中国(n=48),美国(n=47)和英国(n=7),时间跨度为2005年―2023年;涉及531名研究者,第一作者分布在15个国家;关键词402个,出现前三的关键词为Meta-analysis(n=28)、Model-based meta-analysis(n=27)和Pharmacokinetics(n=14);涉及16种大类疾病,研究前三的疾病分别是肿瘤(n=16)、神经系统疾病(n=14)以及内分泌、营养代谢性疾病(n=13)。结论近三年来,以多种关键疾病为载体,MBMA研究的发表数量显著增加,但这种新型的定量研究尚未引起足够关注,研究力量仍集中于中国和美国;并且尚未形成核心作者群,需各国学者加强多学科广泛合作交流,促进高质量证据的生产及转化。Objective This study aims to conduct a bibliometric analysis of the dataset obtained from a systematic review of Model-Based Meta-Analysis(MBMA)studies to uncover research trends in MBMA.Methods We conducted a systematic search across databases including Embase,MEDLINE,Cochrane Library,Web of Science,CNKI,VIP,WanFang Data,and Sinomed.Relevant literature pertaining to MBMA was screened and included.Qualitative and quantitative analyses were performed to assess author contributions,temporal trends,national distribution,and disease prevalence.Results A total of 129 articles were included in the analysis,most published in being China(n=48),the United States(n=47),and the United Kingdom(n=7).The time span covered by these articles ranged from 2005 to 2023.A total of 531 researchers contributed to the included studies,with first authors from 15 different countries.The compilation encompassed 402 keywords,with the three most frequently used being“Meta-analysis”(n=28),“Modelbased meta-analysis”(n=27),and“Pharmacokinetics”(n=14).The study covered 16 distinct disease categories,with the top three neoplasms(n=16),neurological disorders(n=14),and endocrine and metabolic diseases(n=13).Conclusion Bibliometric analysis showed that the number of MBMA studies has increased significantly over the past three years,using a variety of key diseases as carriers.However,this new type of quantitative research has not yet attracted sufficient attention,and the research power is still concentrated in China and the United States;Moreover,a core group of authors has not yet been formed,it is necessary for scholars from various countries to strengthen multidisciplinary cooperation and communication to promote the production and translation of high-quality evidence.

关 键 词：基于模型的Meta分析 文献计量学 系统评价 Bibliometrix 

分 类 号：G353.1[文化科学—情报学] R-05[医药卫生]