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Why and How Should We Integrate Biomarkers into Complex Trials? A Discussion on Paradigms and Clinical Research
Frauke Musial1, Scott Mist2, Sara Warber3
1National Research Center in Complementary and Alternative Medicine (NAFKAM), Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway, frauke.musial@uit.no.
Identifying appropriate biomarkers is crucial for understanding complex complementary and alternative medicine (CAM) interventions. This research proposes a strategy to integrate biomarkers into CAM whole system research, bridging conventional and alternative medicine concepts.
Area of Science:
- Biomedical Research
- Integrative Medicine
- Systems Biology
Background:
- Complementary and Alternative Medicine (CAM) research faces challenges with complex interventions, patient-specific factors, and chronic conditions.
- CAM interventions are often questioned for lacking biologically based mechanisms, highlighting the need for objective outcome measures.
- Biomarkers are essential for understanding CAM interventions, necessitating a structured approach for their selection.
Purpose of the Study:
- To present a strategy for integrating biomarkers into whole system research in Complementary and Alternative Medicine (CAM).
- To address the challenges in identifying and utilizing appropriate biomarkers for complex CAM interventions.
- To provide a framework for researchers to incorporate biomarkers into CAM clinical trials.
Main Methods:
- Convened an expert panel during an interdisciplinary workshop on research methodology in CAM.
- Focused on developing strategies for biomarker selection and integration in whole system research.
- Discussed challenges in identifying biomarkers specific to particular CAM interventions.
Main Results:
- Identified key challenges in CAM research, including finding suitable biomarkers for complex pathways and interventions.
- Highlighted the difficulty in integrating biomarkers into clinical trials within the CAM field.
- Emphasized the need to identify biomarkers specific to individual CAM interventions.
Conclusions:
- A disease/condition/symptom- and intervention-driven strategy was developed for identifying outcomes and related biomarkers.
- The proposed research approach integrates biomarkers grounded in conventional physiology and CAM concepts, including traditional medicine.
- The framework aims to guide researchers in effectively incorporating biomarkers into complex CAM trials.
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