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Reconstructing analgesic trials: reasons for following the lead of oncologists

Mellar P Davis1, Geoffrey Mitchell

  • 1Clinical Fellowship Program, Division of Solid Tumor, Cleveland Clinic Lerner School of Medicine, Case Western Reserve University, Palliative Medicine and Supportive Oncology Services, Cleveland Clinic, Cleveland, Ohio, USA. davism6@ccf.org

Current Opinion in Supportive and Palliative Care
|October 9, 2012
PubMed
Abstract

Insights

Oncology trial designs offer insights for analgesic development. Modifying current strategies can improve targeted pain relief by considering pain phenotypes and advanced trial methodologies.

Area of Science:

  • Pharmacology
  • Clinical Trial Design
  • Oncology

Background:

  • Current analgesic development relies on traditional trial designs.
  • Oncology drug trials have evolved with targeted therapies and genetic profiling.
  • These advancements in oncology present opportunities to refine analgesic trial strategies.

Purpose of the Study:

  • To explore the implications of oncology drug trial designs for analgesic development.
  • To propose modifications to existing analgesic trial strategies.
  • To enhance the development of targeted analgesics.

Main Methods:

  • Reviewing changes in oncology drug trial designs.
  • Analyzing the role of pain phenotypes in analgesic response.
  • Integrating pharmacokinetic-pharmacodynamic (PK-PD) principles.
  • Adapting phase II-III trial designs from oncology.

Main Results:

  • Pain phenotypes significantly influence how individuals respond to analgesics.
  • Analgesics can be specifically developed for distinct pain phenotypes.
  • Integrating oncology trial methodologies (PK-PD, phase II-III designs) is recommended for analgesic trials.

Conclusions:

  • Adapting analgesic trial designs based on oncology models will accelerate the development of targeted pain medications.
  • Modified trial designs can improve the 'signal-to-noise' ratio compared to current methods.
  • Future analgesic development should move beyond pain severity and intensity metrics.

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