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Improving recommendations for genomic medicine: building an evolutionary process from clinical practice advisory
Wylie Burke1, Ellen Wright Clayton2, Susan M Wolf3
1Department of Bioethics and Humanities, University of Washington, Seattle, WA, USA. wburke@uw.edu.
Genomic sequencing and multigene panel tests require clear guidance due to limited evidence. This paper proposes an evolutionary approach, starting with clinical practice advisory documents (CPADs) to guide genomic testing, eventually leading to clinical practice guidelines (CPGs).
Area of Science:
- Genomic Medicine
- Clinical Practice Guidelines
Background:
- Genomic sequencing and multigene panel tests are increasingly used in clinical settings.
- Limited evidence currently exists to guide the appropriate application of these genomic technologies.
- There is a need for clear advice to standardize practice, reduce errors, and ensure patient safety.
Purpose of the Study:
- To propose a framework for developing guidance on genomic testing in clinical practice.
- To address the challenge of rapidly advancing technology outpacing evidence generation.
- To outline an evolutionary process from advisory documents to definitive guidelines.
Main Methods:
- The paper proposes an evolutionary process for developing clinical guidance.
- This process starts with Clinical Practice Advisory Documents (CPADs) and progresses towards Clinical Practice Guidelines (CPGs).
- Two case examples are used to illustrate the proposed process.
Main Results:
- Clinical Practice Advisory Documents (CPADs) can provide provisional advice when evidence is limited.
- CPADs clarify current practice options and identify crucial knowledge gaps for future research.
- This approach facilitates the iterative updating of guidance as more evidence becomes available.
Conclusions:
- An evolutionary approach, beginning with CPADs, can effectively guide genomic testing in the face of limited evidence.
- CPADs lay the groundwork for robust Clinical Practice Guidelines (CPGs) as the evidence base matures.
- This adaptable framework is crucial for fields where technology and practice rapidly evolve beyond current evidence.
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