• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

五种常见药物信息资源提供的药物基因组学信息评估。

An evaluation of pharmacogenomic information provided by five common drug information resources.

机构信息

(corresponding author),

出版信息

J Med Libr Assoc. 2014 Jan;102(1):47-51. doi: 10.3163/1536-5050.102.1.009.

DOI:10.3163/1536-5050.102.1.009
PMID:24415919
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3878935/
Abstract

INTRODUCTION

This study evaluated whether pharmacogenomic information contained in the Food and Drug Administration (FDA)-approved package inserts of sixty-five drugs was present in five drug information resources.

METHODS

The study searched for biomarkers from the FDA package inserts in 5 drug information sources: American Hospital Formulary Service Drug Information (AHFS), Facts & Comparisons 4.0 (Facts), ePocrates Online Free (ePocrates Free), Lexicomp Online (Lexicomp), and Micromedex 2.0. Each resource had the opportunity to present biomarker information for 65 drugs, a total of 325 opportunities. A binary system was used to indicate presence or absence of the biomarker information. A sub-analysis was performed on the 13 most frequently prescribed drugs in the United States.

RESULTS

Package insert biomarker information was available, on average, for 81.5% of the 65 FDA-listed drugs in 2011. Percent availability for the individual resources was: Lexicomp, 95.3%; Micromedex 2.0, 92.3%; Facts, 76.9%; AHFS, 75.3%; and ePocrates Free, 67.7%. The sub-analysis of the 13 top drugs showed Lexicomp and Micromedex 2.0 had the most mentions, 92.3%; ePocrates Free had the least, 53.8%.

CONCLUSION

The strongest resource for pharmacogenomic information was Lexicomp. The gap between Lexicomp and ePocrates Free is concerning. Clinicians would miss pharmacogenomic information 6.6 times more often in ePocrates Free than in Lexicomp.

IMPLICATIONS

Health sciences librarians should be aware of the variation in biomarker availability when recommending drug resources for licensing and use. Librarians can also use this study to encourage publishers to include pharmacogenomics information from the package insert as a minimum standard.

摘要

简介

本研究评估了在六十五种已获美国食品药品监督管理局(FDA)批准的药品说明书中包含的药物基因组学信息是否存在于五种药物信息资源中。

方法

研究在五个药物信息资源中搜索了 FDA 药品说明书中的生物标志物:美国医院处方集服务药物信息(AHFS)、事实与比较 4.0(Facts)、ePocrates Online Free(ePocrates Free)、Lexicomp Online(Lexicomp)和 Micromedex 2.0。每个资源都有机会为 65 种药物提供生物标志物信息,总共 325 个机会。采用二项制系统来表示生物标志物信息的存在或缺失。对美国 13 种最常开处方的药物进行了亚分析。

结果

在 2011 年,65 种 FDA 上市药品中,平均有 81.5%的药品说明书中有生物标志物信息。各个资源的可用性百分比为:Lexicomp,95.3%;Micromedex 2.0,92.3%;Facts,76.9%;AHFS,75.3%;ePocrates Free,67.7%。对 13 种最常用药物的亚分析显示,Lexicomp 和 Micromedex 2.0 的提及率最高,为 92.3%;ePocrates Free 的提及率最低,为 53.8%。

结论

药物基因组学信息最丰富的资源是 Lexicomp。Lexicomp 和 ePocrates Free 之间的差距令人担忧。在 ePocrates Free 中,临床医生错过药物基因组学信息的可能性是在 Lexicomp 中的 6.6 倍。

意义

卫生科学图书馆员应注意在推荐药物资源供许可和使用时,生物标志物可用性的差异。图书馆员还可以利用本研究鼓励出版商将来自药品说明书的药物基因组学信息作为最低标准包含在内。

相似文献

1
An evaluation of pharmacogenomic information provided by five common drug information resources.五种常见药物信息资源提供的药物基因组学信息评估。
J Med Libr Assoc. 2014 Jan;102(1):47-51. doi: 10.3163/1536-5050.102.1.009.
2
Evaluation of popular drug information resources on clinically useful and actionable pharmacogenomic information.评估关于临床有用且可操作的药物基因组学信息的常用药物信息资源。
J Med Libr Assoc. 2016 Jan;104(1):58-61. doi: 10.3163/1536-5050.104.1.009.
3
The Influence of the Food and Drug Administration Pregnancy and Lactation Labeling Rule on Drug Information Resources.《食品和药物管理局妊娠和哺乳期标签规则对药物信息资源的影响》。
Ann Pharmacother. 2021 Apr;55(4):459-465. doi: 10.1177/1060028020956658. Epub 2020 Sep 4.
4
Differences in pharmacogenomic biomarker information in package inserts from the United States, the United Kingdom and Japan.中、美、英、日四国药品说明书中药物基因组生物标志物信息的差异
J Clin Pharm Ther. 2013 Dec;38(6):468-75. doi: 10.1111/jcpt.12089. Epub 2013 Jul 29.
5
Evaluation of resources for analyzing drug interactions.分析药物相互作用的资源评估。
J Med Libr Assoc. 2016 Oct;104(4):290-295. doi: 10.3163/1536-5050.104.4.007.
6
Ability of online drug databases to assist in clinical decision-making with infectious disease therapies.在线药物数据库协助传染病治疗临床决策的能力。
BMC Infect Dis. 2008 Nov 6;8:153. doi: 10.1186/1471-2334-8-153.
7
Off-label use information in electronic drug information resources.电子药物信息资源中的标签外使用信息。
J Med Libr Assoc. 2022 Oct 1;110(4):471-477. doi: 10.5195/jmla.2022.1419.
8
Pharmacogenomic biomarker information in drug labels approved by the United States food and drug administration: prevalence of related drug use.美国食品药品监督管理局批准的药品标签中的药物基因组生物标志物信息:相关药物使用情况
Pharmacotherapy. 2008 Aug;28(8):992-8. doi: 10.1592/phco.28.8.992.
9
A comparison of the content and primary literature support for online medication information provided by Lexicomp and Wikipedia.Lexicomp和维基百科提供的在线药物信息的内容及原始文献支持的比较。
J Med Libr Assoc. 2018 Jul;106(3):352-360. doi: 10.5195/jmla.2018.256. Epub 2018 Jul 1.
10
Evaluation of five full-text drug databases by pharmacy students, faculty, and librarians: do the groups agree?药学专业学生、教师和图书馆员对五个全文药物数据库的评估:各群体的意见一致吗?
J Med Libr Assoc. 2004 Jan;92(1):66-71.

引用本文的文献

1
Tertiary drug information sources for treatment and prevention of COVID-19.COVID-19 的治疗和预防的三级药物信息来源。
J Med Libr Assoc. 2023 Oct 2;111(4):783-791. doi: 10.5195/jmla.2023.1662.
2
A Blockchain-Based Notarization Service for Biomedical Knowledge Retrieval.一种用于生物医学知识检索的基于区块链的公证服务。
Comput Struct Biotechnol J. 2018 Aug 17;16:288-297. doi: 10.1016/j.csbj.2018.08.002. eCollection 2018.
3
The Gap in Electronic Drug Information Resources: A Systematic Review.电子药品信息资源的差距:一项系统综述
Cureus. 2018 Jun 22;10(6):e2860. doi: 10.7759/cureus.2860.
4
Disease-drug database for pharmacogenomic-based prescribing.基于药物基因组学的处方用药疾病-药物数据库。
Clin Pharmacol Ther. 2016 Aug;100(2):179-90. doi: 10.1002/cpt.364. Epub 2016 Jun 8.
5
A Collaborative Assessment Among 11 Pharmaceutical Companies of Misinformation in Commonly Used Online Drug Information Compendia.11家制药公司对常用在线药品信息汇编中的错误信息进行的联合评估。
Ann Pharmacother. 2016 May;50(5):352-9. doi: 10.1177/1060028016635196. Epub 2016 Feb 25.
6
Evaluation of popular drug information resources on clinically useful and actionable pharmacogenomic information.评估关于临床有用且可操作的药物基因组学信息的常用药物信息资源。
J Med Libr Assoc. 2016 Jan;104(1):58-61. doi: 10.3163/1536-5050.104.1.009.
7
Bringing clinical pharmacogenomics information to pharmacists: A qualitative study of information needs and resource requirements.将临床药物基因组学信息带给药剂师:一项关于信息需求和资源要求的定性研究。
Int J Med Inform. 2016 Feb;86:54-61. doi: 10.1016/j.ijmedinf.2015.11.015. Epub 2015 Nov 30.

本文引用的文献

1
Knowledge, attitudes and education of pharmacists regarding pharmacogenetic testing.药剂师对药物基因检测的知识、态度和教育情况。
Per Med. 2012 Jan;9(1):19-27. doi: 10.2217/pme.11.87.
2
Adoption of pharmacogenomic testing by US physicians: results of a nationwide survey.美国医生采用药物基因组学检测的情况:全国性调查结果。
Clin Pharmacol Ther. 2012 Mar;91(3):450-8. doi: 10.1038/clpt.2011.306. Epub 2012 Jan 25.
3
Accuracy of the pharmacogenetic dosing table in the warfarin label in predicting initial therapeutic warfarin doses in a large, racially diverse cohort.华法林标签中药物基因组学剂量表预测大型、种族多样化队列初始治疗华法林剂量的准确性。
Pharmacotherapy. 2011 Sep;31(9):863-70. doi: 10.1592/phco.31.9.863.
4
Assessment of the pharmacogenomics educational needs of pharmacists.评估药师对药物基因组学教育的需求。
Am J Pharm Educ. 2011 Apr 11;75(3):51. doi: 10.5688/ajpe75351.
5
Survey of US public attitudes toward pharmacogenetic testing.美国公众对药物遗传学检测的态度调查。
Pharmacogenomics J. 2012 Jun;12(3):197-204. doi: 10.1038/tpj.2011.1. Epub 2011 Feb 15.
6
Warfarin genotyping reduces hospitalization rates results from the MM-WES (Medco-Mayo Warfarin Effectiveness study).华法林基因分型降低了住院率,这是 MM-WES(美科梅奥华法林有效性研究)的结果。
J Am Coll Cardiol. 2010 Jun 22;55(25):2804-12. doi: 10.1016/j.jacc.2010.03.009. Epub 2010 Apr 8.
7
Pharmacogenomics in the curricula of colleges and schools of pharmacy in the United States.美国药学院校课程中的药物基因组学。
Am J Pharm Educ. 2010 Feb 10;74(1):7. doi: 10.5688/aj740107.
8
Black box warning contraindicated comedications: concordance among three major drug interaction screening programs.黑框警告禁忌合并用药:三种主要药物相互作用筛选程序的一致性。
Ann Pharmacother. 2010 Jan;44(1):28-34. doi: 10.1345/aph.1M475. Epub 2009 Dec 29.
9
Pharmacogenetics education in British medical schools.英国医学院校的药物遗传学教育
Genomic Med. 2008 Dec;2(3-4):101-5. doi: 10.1007/s11568-009-9032-6. Epub 2009 Apr 12.
10
Estimation of the warfarin dose with clinical and pharmacogenetic data.利用临床和药物遗传学数据估算华法林剂量。
N Engl J Med. 2009 Feb 19;360(8):753-64. doi: 10.1056/NEJMoa0809329.