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How to report toxicity associated with targeted therapies?
B Cabarrou1, J M Boher2, E Bogart3
1Department of Biostatistics, Institut Claudius Regaud, IUCT-O Toulouse, Toulouse.
Background:
In the era of personalized medicine, molecularly targeted therapies (MTT) have modified the outcome of some cancer types. The price of tumor control needs to be balanced with toxicity since these new therapies are administered continuously for several months or sometimes for several years. For cytotoxic drugs, the incidence of adverse event (AE) was traditionally reported as frequency and intensity. This simple measure is not sufficient to capture the recurrent nature and duration of AE. This paper presents two methods to better describe the toxicity burden across the time: prevalence and Q-TWiST.
Patients And Methods:
Limitation of worst-grade method and advantages of prevalence and Q-TWiST in the analysis of toxicity were illustrated using data from a phase II trial and a hypothetically simulated clinical trial.
Results:
Prevalence integrates the recurrent nature of AE. Using prevalence, it is possible to obtain a time profile of AE. Q-TWiST method evaluates the weighted time spent in each health state and also considers the recurrent nature of side-effects in order to assess the 'risk-benefit' ratio of a treatment. When interpreting Q-TWiST results, it is necessary to take into account overall survival and progression-free survival and to define a clinically relevant difference according to the setting.
Conclusion:
The two methods presented here capture different effects. They are helpful for physicians in their treatment choice (balance benefit risk), to counsel patients and to optimize supportive care. In order to ensure consistency and provide critical information required for medical decision-making, it is important to encourage the use of alternative statistical methods in the analysis of toxicities associated with MTT.
Clinical Trial:
NCT00541008.
Insights
New methods, prevalence and Q-TWiST, better describe adverse event (AE) burden from molecularly targeted therapies (MTT). These approaches help physicians balance treatment risks and benefits for improved patient care.
Area of Science:
- Oncology
- Clinical Pharmacology
- Biostatistics
Background:
- Personalized medicine utilizes molecularly targeted therapies (MTT) for cancer treatment.
- Balancing tumor control with toxicity is crucial for long-term MTT administration.
- Traditional adverse event (AE) reporting lacks detail on AE recurrence and duration.
Purpose of the Study:
- To introduce and illustrate two novel methods for analyzing toxicity burden over time: prevalence and Q-TWiST.
- To demonstrate the limitations of traditional AE assessment methods.
Main Methods:
- Utilized data from a Phase II clinical trial and simulated data.
- Applied prevalence to capture AE recurrence and time profiles.
- Employed Q-TWiST to assess weighted time in health states and the risk-benefit ratio.
Main Results:
- Prevalence provides a time-dependent profile of adverse events.
- Q-TWiST quantifies the risk-benefit ratio by considering time spent in different health states.
- Both methods offer a more comprehensive understanding of toxicity compared to traditional frequency and intensity reporting.
Conclusions:
- Prevalence and Q-TWiST offer valuable insights into the toxicity of MTT.
- These methods aid physicians in treatment selection, patient counseling, and supportive care optimization.
- Adoption of these statistical methods is encouraged for consistent and informative AE analysis in MTT.
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