循证泌尿外科学方法——证据的分类与检索  

Methodology for evidence-based urology--evidence classification and retrieval

作　　者：王云云 秦长江 童铁军 马彬[5,6] 曹世义 张超[8] 任学群[2,3] 李晓东[2,9] 张苗 翁鸿[1,10] 汪洋 靳英辉 杨璐 曾宪涛[1,2,12] WANG Yunyun;QIN Changjiang;TONG Tiejun;MA Bin;CAO Shiyi;ZHANG Chao;REN Xuequn;LI Xiaodong;ZHANG Miao;WENG Hong;WANG Yang;JIN Yinghui;YANG Lu;ZENG Xiantao(Center for Evidence-Based and Translational Medicine,Zhongnan Hospital of Wuhan University,Wuhan 430071,China;Institutes of Evidence-Based Medicine and Knowledge Translation,Henan University,Kaifeng 475001,Henan Province,China;Department of General Surgery,Huaihe Hospital of Henan University,Kaifeng 475001,Henan Province,China;Department of Mathematics,Hong Kong Baptist University,Hong Kong 999077,China;Evidence-Based Medicine Centre,School of Basic Medical Sciences,Lanzhou University,Lanzhou 730000,China;Key Laboratory of Evidence-Based Medicine of Gansu Province,Lanzhou 730000,China;School of Public Health,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China;Center for Evidence-Based Medicine and Clinical Research,Affilated Hospital of Taihe Hospital,Hubei University of Medicine,Shiyan 442000,Hubei Province,China;Department of Urology,The First Affiliated Hospital of Henan University,Kaifeng 475004,Henan Province,China;Zhongnan Medical Journal Press,Zhongnan Hospital of Wuhan University,Wuhan 430071,China;Department of Urology,West China Hospital of Sichuan University,Chengdu 610041,China;Hubei Key Laboratory of Urinary System Diseases,Wuhan 430071,China)

机构地区：[1]武汉大学中南医院循证与转化医学中心,武汉430071 [2]河南大学循证医学与临床转化研究院,河南开封475001 [3]河南大学淮河医院普外科,河南开封475001 [4]香港浸会大学数学系,中国香港999077 [5]兰州大学基础医学院循证医学中心,兰州730000 [6]甘肃省循证医学与临床转化重点实验室,兰州730000 [7]华中科技大学同济医学院公共卫生学院,武汉430030 [8]湖北医药学院附属太和医院循证医学中心,湖北十堰442000 [9]河南大学第一附属医院泌尿外科,河南开封475004 [10]武汉大学中南医院中南医学期刊社,武汉430071 [11]四川大学华西医院泌尿外科,成都610041 [12]泌尿系统疾病湖北省重点实验室,武汉430071

出　　处：《医学新知》2025年第1期2-13,共12页New Medicine

基　　金：国家重点研发计划“主动健康和老龄化科技应对”重点专项(2022YFC3602900,2022YFC3600700);国家自然科学基金面上项目(81873184,82174230);国家自然科学基金青年项目(71603091);湖北省青年拔尖人才培养计划项目;河南省医学科技攻关计划项目。

摘　　要：证据是循证医学的核心要素,其分类多样、来源广泛,大多以学术期刊为载体,收录于PubMed、Web of Science、中国知网等各类数据库或网站平台,载体繁多且数量庞大,给科研工作者查阅文献、阅读文献带来了较大的负担,泌尿外科领域循证证据更是如此。本文从分析泌尿外科领域常见临床问题特征入手,介绍了其筛选的4项标准、2类结构化模板,阐明了4种证据分类方法的含义、类别、标识及其方法应用的3项要求,并以生产证据和使用证据为目的的检索思路分别讲解了检索资源的选择、检索策略的构建、检索过程实现的具体操作步骤及其注意事项,另结合人工智能技术,明确了循证泌尿外科领域证据分类和检索的未来发展动向,为进一步推动循证泌尿外科学的发展提供参考依据。Evidence is a core element of evidence-based medicine,with diverse classifications and extensive sources.Most of it is based on journals and is commonly found in databases or websites such as PubMed,Web of Science,and CNKI.The number of literatures is countless,which also puts enormous pressure on researchers to consult and read literature.The field of urology is no exception.This article started with analyzing the characteristics of common clinical questions in the field,introduced the four criteria for their screening and two types of structured templates,clarified the definition,categories,identification,and three requirements for the application of the four evidence classification methods,and explained the selection of retrieval resources,construction of retrieval strategies,specific operational steps,and precautions for the retrieval process to develop and use evidence.In addition,combined with artificial intelligence technology,the future development trend of evidence classification and retrieval in the field of evidence-based urology has been clarified,which provided reference for further promoting the development of evidence-based urology.

关 键 词：循证泌尿外科学 循证医学 方法 证据 证据分类 证据检索 

分 类 号：R69[医药卫生—泌尿科学]