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

Autor: Upal Basu Roy, Wendy Selig, Andrea Ferris, Yutao Gong, Meredith K. Chuk, Gideon M. Blumenthal, Nina Stuccio, P. Bonomi, Anne C. Deitz, Alexander Spira, C. J. Delgra, Jinghua He
Rok vydání: 2020
Předmět:
Zdroj: Therapeutic Innovation & Regulatory Science. 54:1208-1214
ISSN: 2168-4804
2168-4790
DOI: 10.1007/s43441-020-00145-z
Popis: 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.
Databáze: OpenAIRE
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