Decision Science Can Inform Clinical Trade-Offs Regarding Cardiotoxic Cancer Treatments

Arielle S Gillman1, Jacqueline B Vo2, Anju Nohria3

  • 1Division of Cancer Control and Population Sciences, Cancer Prevention Fellowship Program, Basic Biobehavioral and Psychological Sciences Branch, Behavioral Research Program, National Cancer Institute, Bethesda, MD, USA.

JNCI Cancer Spectrum
|August 5, 2021
PubMed

Insights

Cancer treatment can harm the heart, leading to cardiotoxicity. Doctors and patients may overlook less cardiotoxic options due to mental shortcuts, impacting cancer survivorship.

Area of Science:

  • Oncology
  • Cardiology
  • Behavioral Science

Background:

  • Cardiotoxicity is a major concern for cancer survivors, causing non-cancer deaths.
  • Heart disease is the leading cause of death in cancer survivors.
  • A tradeoff exists between aggressive cancer treatment and preventing future cardiotoxicity.

Purpose of the Study:

  • To examine how cognitive heuristics influence decisions regarding cancer treatment and cardiotoxicity.
  • To highlight the impact of mental shortcuts on choosing between aggressive treatment and heart health.
  • To propose solutions for mitigating bias in clinical oncology.

Main Methods:

  • Review of research on cognitive heuristics and medical decision-making.
  • Application of heuristic research to the cancer treatment vs. cardiotoxicity tradeoff.
  • Discussion of implications for oncology practice and future research.

Main Results:

  • Cognitive heuristics like delay discounting and default bias can lead to suboptimal treatment choices.
  • These mental shortcuts can cause providers and patients to overlook less cardiotoxic yet effective cancer treatments.
  • Bias in decision-making can negatively affect cancer survivorship by increasing cardiotoxicity risk.

Conclusions:

  • Cognitive heuristics significantly impact clinical decisions regarding cancer treatment and cardiotoxicity.
  • Addressing these biases is crucial for improving cancer survivorship and patient outcomes.
  • Further research is needed to develop strategies for reducing bias in oncology practice.

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