期刊文献+

国内药物不良反应信号检测文献研究设计问题的调查和分析 被引量:3

Investigation and analysis on research design problems in adverse drug reaction signal detection study in China
原文传递
导出
摘要 目的了解我国当前药物不良反应(ADR)信号检测研究设计的现状及相关问题。方法检索中国生物医学文献服务系统、中国知网、万方医学和维普网关于ADR信号检测类研究的文献(截至2022年5月30日)。对文献的研究目的、研究方向(目标药物、目标ADR)、信号来源数据库、目标药物角色及对照药物、信号检测算法和偏倚控制等问题逐条进行描述性分析。结果共纳入165篇文献,146篇(88.5%)文献发表在核心期刊;2013至2022年(2022年1~5月)分别发表4、3、2、7、8、11、20、29、55和26篇。6.7%(11/165)的文献研究目的不明确,80.6%(133/165)目标ADR选择为非针对性,国内数据库利用较少[9.7%(16/165)],33.9%(56/165)未提及目标药物角色的选择范围,36.4%(60/165)仅采用单一算法进行信号检测,85.5%(141/165)未进行偏倚分析。结论国内已发表的ADR信号检测文献在研究设计方面存在研究目的和方向不明确、研究项目不全面等规范性欠佳问题。我国学者应在加强ADR信号检测研究的同时,进一步提高研究设计的质量。 Objective To understand the current situation and problems of research design in adverse drug reaction(ADR)signal detection study in China.Methods The literature on ADR signal detection study in SinoMed,CNKI,WanFang Data and VIP databases were retrieved(up to May 30,2022).The research purpose,research direction(target drug,target ADR),source database of signals,target drug role,reference drug,signal detection algorithm,and bias control of the literature were analyzed descriptively one by one.Results A total of 165 articles were included,of which 146(88.5%)were published in core journals.From 2013 to 2022(January to May,2022),there were 4,3,2,7,8,11,20,29,55,and 26 rele⁃vant articles,respectively.Problems in these studies were as follows:research purposes were not clear in 6.7%(11/165)of the literature;target ADRs were selected as non targeted in 80.6%(133/165)of the literature;the domestic database was less utilized[only 9.7%(16/165)];did the selection range of the target drug role were not mentioned in 33.9%(56/165)of the literature;only a single algorithm for signal detection was used in 36.4%(60/165)of the literature;bias analysis was not conducted in 85.5%(141/165)of the litera⁃ture.Conclusions The domestic literature on ADR signal detection has problems of poor standardiza⁃tion in research design,such as unclear research purpose and direction,incomplete research items,etc.Chinese scholars should further improve the quality of research design while strengthening the research on ADR signal detection.
作者 戴睿 张青霞 胡扬 王焕玲 赵彬 合理用药国际网络中国中心组临床安全用药组 Dai Rui;Zhang Qingxia;Hu Yang;Wang Huanling;Zhao Bin;Medication Safety Panel in China Core Group of International Network for the Rational Use of Drugs(Department of Pharmacy,Peking Union Medical College Hospital,Peking Union Medical College,Chinese Academy of Medical Sciences,Beijing 100730,China;Clinical Pharmacology Research Center,Peking Union Medical College Hospital,Peking Union Medical College,Chinese Academy of Medical Sciences,Beijing 100730,China;Department of Pharmacy,Xuanwu Hospital,Capital Medical University,National Clinical Research Center for Geriatric Disease,Beijing 100053,China;不详)
出处 《药物不良反应杂志》 CSCD 2023年第8期475-481,共7页 Adverse Drug Reactions Journal
基金 北京协和医院中央高水平医院临床科研专项(2022⁃PUMCH⁃B⁃058) 中国药学会医院药学专业委员会人才专项资助项目(CPA⁃Z05⁃ZC⁃2022⁃003)。
关键词 药物警戒 药物相关副作用和不良反应 药物不良反应报告系统 信号检测 评价性研究 研究设计 Pharmacovigilance Drug⁃related side effects and adverse reaction Adverse drug reaction reporting systems Signal detection Evaluation studies Research design
  • 相关文献

参考文献7

二级参考文献46

  • 1陈冠初.文献计量学与非文献计量学在期刊评价中的应用[J].编辑学报,2006,18(6):472-474. 被引量:20
  • 2Hauben M, Bate A. Decision support methods for the detection of adverse events in post-marketing data[J]. Drug Discovery Today, 2009, 14:343-357.
  • 3Almenoff J S, LaCroix K K, Yuen N A, et al. Comparative Performance of Two Quantitative Safety Signalling Methods: Implications for Use in a Pharmacovigilance Department[J]. Drug Saf, 2006, 29 (10): 875-887.
  • 4Woo E J, Ball R. Burwen D R, et al. Effects of stratification on data mining in the US Vaccine Adverse Event Reporting System (VAERS)[J]. Drug Saf, 2008, 31 (8): 667-674.
  • 5Evans S J. Stratification for spontaneous report databases[J]. Drug Saf, 2008;31(11):1049-1052.
  • 6Hopstadius J, Nor e n G N, Bate A, et al. Impact of stratification in adverse drug reaction surveillance[J]. Drug Saf, 2008, 31 (11): 1035- 1048.
  • 7Hauben M, Madigan D, Gerrits C M, et al. The role of data mining in pharmacovigilance[J]. Expert Opinion Drug Safe, 2005, 4(5): 929-948.
  • 8Almenoff J S, Pattishall E N, Gibbs T G, et al. Novel statistical tools for monitoring the safety of marketed drugs[J]. Clin Pharmacol Ther, 2007, 82 (2): 157-166.
  • 9Genkin A, Lewis DD & Madigan D. BBR: Bayesian Logistic Regression Software[EB/OL]. [2009-12-20] .http://www.stat.rutgers. edu/Bmadigan/BBR/(accessed 23 April 2007).
  • 10van Puijenbroek E P, Egberts A C, Heerdink E R, et al. Detecting drug-drug interactions using a database for spontaneous adverse drug reactions: an example with diuretics and non-steroidal antiinflammatory drugs[J]. European Journal of Clinical Pharmacology, 2000, 56: 733-738.

共引文献70

同被引文献12

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部