Suppr超能文献

日本吉非替尼所致间质性肺病的经验教训:审批、药物警戒及监管决策程序中的问题

Lessons from gefitinib-induced interstitial lung disease in Japan: Problems in approval, pharmacovigilance, and regulatory decision-making procedures.

作者信息

Nishimura Tsutomu, Tada Harue, Nakagawa Masatsugu, Teramukai Satoshi, Matsui Shigeyuki, Fukushima Masanori

机构信息

Clinical Trial Design and Management, Translational Research Center, Kyoto University Hospital, Kyoto, ( Japan ).

Pharmacoepidemiology, Graduate School of Public Health, Kyoto University , Kyoto, ( Japan ).

出版信息

Pharm Pract (Granada). 2006 Oct;4(4):168-78. doi: 10.4321/s1885-642x2006000400004.

Abstract

OBJECTIVE

The objective of this study was to identify problems in the approval, pharmacovigilance, and post-approval regulatory decision-making procedures involving gefitinib and to propose countermeasures to prevent further drug-induced suffering in Japan in the future.

METHODS

We comprehensively reviewed reports regarding gefitinib published during the period from 2000 to 2006 by regulatory agencies, the manufacturer of the gefitinib-containing drug, cancer clinical study groups, and a scientific society.

RESULTS

We identified the following major problems in the approval, pharmacovigilance, and regulatory decision-making procedures: 1) the results of animal experiments and pre-marketing clinical trials, and reports of adverse drug reactions from other countries were not properly reflected in the label; 2) indications for the drug were expanded without strict evaluation of the external validity of pre-marketing clinical trials; and 3) despite many serious cases of interstitial lung disease (ILD) being spontaneously reported, well-designed post-marketing surveillance was not immediately performed.

CONCLUSIONS

We propose a mandatory total registry of all drug users and surveillance (i.e. a prospective outcome study) as one of the rational solutions for preventing further drug-induced suffering in Japan.

摘要

目的

本研究的目的是识别吉非替尼在审批、药物警戒及审批后监管决策程序中存在的问题,并提出对策,以防止未来在日本出现更多由药物引起的痛苦。

方法

我们全面回顾了2000年至2006年期间监管机构、含吉非替尼药物的制造商、癌症临床研究组及一个科学学会发表的有关吉非替尼的报告。

结果

我们在审批、药物警戒及监管决策程序中识别出以下主要问题:1)动物实验和上市前临床试验的结果,以及其他国家的药物不良反应报告未在药品标签中得到恰当体现;2)在未严格评估上市前临床试验外部有效性的情况下扩大了药物适应症;3)尽管自发报告了许多间质性肺病(ILD)严重病例,但未立即开展精心设计的上市后监测。

结论

我们建议对所有药物使用者进行强制性全面登记及监测(即前瞻性结局研究),作为防止未来在日本出现更多由药物引起的痛苦的合理解决方案之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a51/4155619/834470a86275/pharmpract-04-168-g001.jpg

相似文献

4
Clinical features and risk factors of panitumumab-induced interstitial lung disease: a postmarketing all-case surveillance study.
Int J Clin Oncol. 2015 Dec;20(6):1063-71. doi: 10.1007/s10147-015-0834-3. Epub 2015 May 13.
5
Is the evidence of the Supreme Court Ruling of gefitinib litigation in Japan scientific?
Int J Risk Saf Med. 2014;26(4):227-33. doi: 10.3233/JRS-140637.
6
Safety Problems With a Transdermal Patch for Migraine: Lessons From the Development, Approval, and Marketing Process.
Headache. 2018 Nov;58(10):1639-1657. doi: 10.1111/head.13424. Epub 2018 Oct 27.
7
Analysis of safety-related regulatory actions by Japan's pharmaceutical regulatory agency.
Pharmacoepidemiol Drug Saf. 2017 Nov;26(11):1314-1320. doi: 10.1002/pds.4252. Epub 2017 Jul 19.
8
Post-marketing drug withdrawals: Pharmacovigilance success, regulatory problems.
Therapie. 2017 Oct;72(5):555-561. doi: 10.1016/j.therap.2017.02.005. Epub 2017 Mar 30.

引用本文的文献

本文引用的文献

3
5
Erlotinib in previously treated non-small-cell lung cancer.
N Engl J Med. 2005 Jul 14;353(2):123-32. doi: 10.1056/NEJMoa050753.
8
Interstitial lung disease in lung cancer: separating disease progression from treatment effects.
Drug Saf. 2005;28(2):103-13. doi: 10.2165/00002018-200528020-00002.
9
Mutations of the epidermal growth factor receptor gene in lung cancer: biological and clinical implications.
Cancer Res. 2004 Dec 15;64(24):8919-23. doi: 10.1158/0008-5472.CAN-04-2818.
10
Vioxx, the implosion of Merck, and aftershocks at the FDA.
Lancet. 2004;364(9450):1995-6. doi: 10.1016/S0140-6736(04)17523-5.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验