94
Views
2
CrossRef citations to date
0
Altmetric
Articles

Using Delayed Toxicities to Re-evaluate Tolerability in Phase 2 Trials: A Case Example using Bortezomib

, , , &
Pages 484-489 | Received 24 Oct 2016, Accepted 06 Jun 2017, Published online: 10 Jul 2017
 

ABSTRACT

In advanced stage patients enrolled in dose-finding trials, it is difficult to assess delayed toxicities because frequently patients discontinue after one or two cycles of treatment. Patients enrolled in phase 2 trials are typically followed longer to assess efficacy. Thus, their data may be useful for evaluating long-term tolerability. We illustrate this using as example two phase 2 bortezomib trials (total N = 172) conducted by SWOG. While treatment-related severe toxicity rates based on cycle 1 were acceptable (23% and 31%), they were notably higher over extended administration (37% and 70%). This additional information should be considered when designing subsequent trials.

Disclaimer

SWOG is a member of the National Clinical Trials Network supported by the National Cancer Institute (NCI). This manuscript was prepared using a limited access data set obtained from SWOG and does not necessarily reflect the opinions or views of SWOG or the NCI.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the article.

Funding

This work was supported by the American Cancer Society (grant number MRSG-13-146-01-CPHPS).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,193.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.