Improving attribution of adverse events in oncology clinical trials. (June 2019)
- Record Type:
- Journal Article
- Title:
- Improving attribution of adverse events in oncology clinical trials. (June 2019)
- Main Title:
- Improving attribution of adverse events in oncology clinical trials
- Authors:
- George, Goldy C.
Barata, Pedro C.
Campbell, Alicyn
Chen, Alice
Cortes, Jorge E.
Hyman, David M.
Jones, Lee
Karagiannis, Thomas
Klaar, Sigrid
Le-Rademacher, Jennifer G.
LoRusso, Patricia
Mandrekar, Sumithra J.
Merino, Diana M.
Minasian, Lori M.
Mitchell, Sandra A.
Montez, Sandra
O'Connor, Daniel J.
Pettit, Syril
Silk, Elaine
Sloan, Jeff A.
Stewart, Mark
Takimoto, Chris H.
Wong, Gilbert Y.
Yap, Timothy A.
Cleeland, Charles S.
Hong, David S. - Abstract:
- Highlights: Attribution of adverse events (AE) is critical in oncology drug development. Processes for determining adverse event causality are often sub-optimal. Numerous challenges are associated with AE attribution. Attribution efficiencies, processes and consistency should be improved. Reporting of attribution in publications should be standardized. Abstract: Attribution of adverse events (AEs) is critical to oncology drug development and the regulatory process. However, processes for determining the causality of AEs are often sub-optimal, unreliable, and inefficient. Thus, we conducted a toxicity-attribution workshop in Silver Springs MD to develop guidance for improving attribution of AEs in oncology clinical trials. Attribution stakeholder experts from regulatory agencies, sponsors and contract research organizations, clinical trial principal investigators, pre-clinical translational scientists, and research staff involved in capturing attribution information participated. We also included patients treated in oncology clinical trials and academic researchers with expertise in attribution. We identified numerous challenges with AE attribution, including the non-informative nature of and burdens associated with the 5-tier system of attribution, increased complexity of trial logistics, costs and time associated with AE attribution data collection, lack of training in attribution for early-career investigators, insufficient baseline assessments, and lack of consistency inHighlights: Attribution of adverse events (AE) is critical in oncology drug development. Processes for determining adverse event causality are often sub-optimal. Numerous challenges are associated with AE attribution. Attribution efficiencies, processes and consistency should be improved. Reporting of attribution in publications should be standardized. Abstract: Attribution of adverse events (AEs) is critical to oncology drug development and the regulatory process. However, processes for determining the causality of AEs are often sub-optimal, unreliable, and inefficient. Thus, we conducted a toxicity-attribution workshop in Silver Springs MD to develop guidance for improving attribution of AEs in oncology clinical trials. Attribution stakeholder experts from regulatory agencies, sponsors and contract research organizations, clinical trial principal investigators, pre-clinical translational scientists, and research staff involved in capturing attribution information participated. We also included patients treated in oncology clinical trials and academic researchers with expertise in attribution. We identified numerous challenges with AE attribution, including the non-informative nature of and burdens associated with the 5-tier system of attribution, increased complexity of trial logistics, costs and time associated with AE attribution data collection, lack of training in attribution for early-career investigators, insufficient baseline assessments, and lack of consistency in the reporting of treatment-related and treatment-emergent AEs in publications and clinical scientific reports. We developed recommendations to improve attribution: we propose transitioning from the present 5-tier system to a 2–3 tier system for attribution, more complete baseline information on patients' clinical status at trial entry, and mechanisms for more rapid sharing of AE information during trials. Oncology societies should develop recommendations and training in attribution of toxicities. We call for further harmonization and synchronization of recommendations regarding causality safety reporting between FDA, EMA and other regulatory agencies. Finally, we suggest that journals maintain or develop standardized requirements for reporting attribution in oncology clinical trials. … (more)
- Is Part Of:
- Cancer treatment reviews. Volume 76(2019)
- Journal:
- Cancer treatment reviews
- Issue:
- Volume 76(2019)
- Issue Display:
- Volume 76, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 76
- Issue:
- 2019
- Issue Sort Value:
- 2019-0076-2019-0000
- Page Start:
- 33
- Page End:
- 40
- Publication Date:
- 2019-06
- Subjects:
- Attribution -- Adverse event -- Clinical trial -- Cancer treatment -- Toxicity -- Symptom
Cancer -- Periodicals
Cancer -- Treatment -- Periodicals
Neoplasms -- therapy -- Periodicals
Cancer -- Périodiques
Cancer -- Traitement -- Périodiques
Cancer -- Treatment
Electronic journals
Periodicals
616.99406 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03057372 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ctrv.2019.04.004 ↗
- Languages:
- English
- ISSNs:
- 0305-7372
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3046.630000
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