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Has the development of cancer biomarkers to guide treatment improved health outcomes?

Ana Beatriz D Avó LuísMikyung Kelly Seo
Published in: The European journal of health economics : HEPAC : health economics in prevention and care (2021)
During the last decade, testing the patient's biomarker status prior to the administration of corresponding co-dependent therapies has been emerging in clinical practice. These biomarker-guided therapies have promoted the promise of more personalized medicine, with the prescription of the right treatment to the right patient, while avoiding expensive ineffective drugs and adverse drug reactions. Cancer treatments have especially taken advantage of this technology. We assess how the introduction of biomarker tests guiding cancer therapy have affected the premature mortality and survival of cancer patients in Norway. Our findings suggest that, in general, cancer patients have benefited from both biomarker testing and more cancer drugs. Furthermore, we find that the total effect of biomarker testing on 3-year survival decreases as the number of drugs available increases, suggesting that the matching of patients with the appropriate treatment is better when fewer drugs are available.
Keyphrases
  • papillary thyroid
  • adverse drug
  • clinical practice
  • combination therapy
  • squamous cell carcinoma
  • machine learning
  • cardiovascular events
  • drug delivery
  • young adults
  • artificial intelligence
  • smoking cessation