Literature DB >> 32865803

Reducing Uninformative IND Safety Reports: A List of Serious Adverse Events anticipated to Occur in Patients with Lung Cancer.

Phil Bonomi1, Nina Stuccio2, C J Delgra3, Meredith K Chuk4, Alexander Spira5, Anne C Deitz2, Gideon M Blumenthal4, Andrea Ferris6, Yutao Gong4, Jinghua He2, Upal Basu Roy6, Wendy Selig7.   

Abstract

Expedited reporting of unexpected serious adverse reactions that occur during clinical trials conducted under an IND is a critical component of the clinical trial process designed to protect patients by identifying potential safety issues with new agents. However, in recent years, the US FDA has presented extensive data about the problem of uninformative IND safety reporting. Despite published guidance documents aimed at clarifying requirements for submission of IND safety reports for individual events, there continues to be significant over-reporting of these events by many sponsors. This leads to excessive burden for the sponsors, the investigators who conduct clinical trials, and the FDA reviewers, who must evaluate each individual report submitted by the sponsor. This trend has the potential to endanger patients by obscuring true safety signals. To address this problem, LUNGevity Foundation empaneled a multi-sector working group of its Scientific and Clinical Research Roundtable (SCRT) charged with identifying ways to reduce unnecessary distribution of serious adverse events (SAEs) reports. This paper outlines the working group's activities, including a brief list of serious adverse events "anticipated" to occur within the lung cancer population that are either related to the underlying disease or condition being studied, concomitant or background therapy, or events associated with a demographic parameter such as age. These "anticipated" events, while required to be reported by investigators to sponsors, in general, should not then be individually reported by sponsors to FDA and to individual investigators in an IND safety report because these events require aggregate analysis across the development program to determine if they occur more frequently in treated versus untreated patients. This paper also includes discussion of how the use of background threshold values, generated from real-world data, could serve as one potential tool to guide sponsors in making causality assessments. If sponsors and other key stakeholders within the clinical research ecosystem embrace this type of approach and refrain from reporting "anticipated" events as single IND safety reports to the FDA staff and to each participating investigator, it could significantly reduce the amount of unnecessary reporting and serve as a model for other disease areas.

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Year:  2020        PMID: 32865803     DOI: 10.1007/s43441-020-00145-z

Source DB:  PubMed          Journal:  Ther Innov Regul Sci        ISSN: 2168-4790            Impact factor:   1.778


  2 in total

Review 1.  Interdisciplinary Safety Evaluation for Learning and Decision-Making.

Authors:  Greg Ball; Barbara A Hendrickson; Amy L Freedman; Robert Gordon; Brenda Crowe; Melissa F Veenhuizen; James Buchanan
Journal:  Ther Innov Regul Sci       Date:  2021-03-17       Impact factor: 1.778

2.  Identifying Anticipated Events of Future Clinical Trials by Leveraging Data from the Placebo Arms of Completed Trials.

Authors:  Xiang-Lin Tan; David M Kern; M Soledad Cepeda
Journal:  Ther Innov Regul Sci       Date:  2020-11-09       Impact factor: 1.778

  2 in total

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