对《关于A型肉毒毒素过量：美国食品药品监督管理局不良事件报告系统数据库分析》评论的回应 - Suppr

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超能文献

Response to "Comment on: Botulinum Toxin Type A Overdoses: Analysis of the FDA Adverse Event Reporting System Database".

作者信息

Kazerooni Rashid, Armstrong Edward P

机构信息

Medical Affairs, Merz North America, Inc., Raleigh, NC, USA.

Health Services Administration Graduate Program, University of Wyoming School of Pharmacy, Laramie, WY, USA.

出版信息

Clin Drug Investig. 2018 Dec;38(12):1199-1200. doi: 10.1007/s40261-018-0724-3.

DOI:10.1007/s40261-018-0724-3

PMID:30390199

Abstract

摘要

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本文引用的文献

Comment on: Botulinum Toxin Type A Overdoses: Analysis of the FDA Adverse Event Reporting System Database.

Clin Drug Investig. 2018 Dec;38(12):1197-1198. doi: 10.1007/s40261-018-0723-4.

Data mining of the public version of the FDA Adverse Event Reporting System.

Int J Med Sci. 2013 Apr 25;10(7):796-803. doi: 10.7150/ijms.6048. Print 2013.

Quantitative signal detection using spontaneous ADR reporting.

Pharmacoepidemiol Drug Saf. 2009 Jun;18(6):427-36. doi: 10.1002/pds.1742.

Decision support methods for the detection of adverse events in post-marketing data.

Drug Discov Today. 2009 Apr;14(7-8):343-57. doi: 10.1016/j.drudis.2008.12.012. Epub 2009 Jan 31.

Novel statistical tools for monitoring the safety of marketed drugs.

Clin Pharmacol Ther. 2007 Aug;82(2):157-66. doi: 10.1038/sj.clpt.6100258. Epub 2007 May 30.

Perspectives on the use of data mining in pharmaco-vigilance.

Drug Saf. 2005;28(11):981-1007. doi: 10.2165/00002018-200528110-00002.

Drug-induced pancreatitis: lessons in data mining.

Br J Clin Pharmacol. 2004 Nov;58(5):560-2. doi: 10.1111/j.1365-2125.2004.02203.x.

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