Why the study?
The authors sought to examine the evidence on the cost-effectiveness of implementing pharmacogenomics (PGx) in cardiovascular disease care.
Is pharmacogenomics-guided treatment cost-effective in cardiovascular disease care?
Is pharmacogenomics-guided treatment cost-effective in cardiovascular disease care?
Pharmacogenomics-guided treatment, particularly for clopidogrel and warfarin, appears cost-effective in cardiovascular care, though evidence is limited for other drug-gene combinations.
Answers are grounded in this paper and cite their sources.
Supports PGx testing for clopidogrel and warfarin in CVD; confirms cost-effectiveness in most studies while noting gaps for other pairs.
PURPOSE: To examine the evidence on the cost-effectiveness of implementing pharmacogenomics (PGx) in cardiovascular disease (CVD) care. METHODS: We conducted a systematic review using multiple databases from inception to 2018. The titles and abstracts of cost-effectiveness studies on PGx-guided treatment in CVD care were screened, and full texts were extracted. RESULTS: We screened 909 studies and included 46 to synthesize. Acute coronary syndrome and atrial fibrillation were the predominantly studied conditions (59%). Most studies (78%) examined warfarin-CYP2C9/VKORC1 or clopidogrel-CYP2C19. A payer's perspective was commonly used (39%) for cost calculations, and most studies (46%) were US-based. The majority (67%) of the studies found PGx testing to be cost-effective in CVD care, but cost-effectiveness varied across drugs and conditions. Two studies examined PGx panel testing, of which one examined pre-emptive testing strategies. CONCLUSION: We found mixed evidence on the cost-effectiveness of PGx in CVD care. Supportive evidence exists for clopidogrel-CYP2C19 and warfarin-CYP2C9/VKORC1, but evidence is limited in other drug-gene combinations. Gaps persist, including unclear explanation of perspective and cost inputs, underreporting of study design elements critical to economic evaluations, and limited examination of PGx panel and pre-emptive testing for their cost-effectiveness. This review identifies the need for further research on economic evaluations of PGx implementation.
No takes yet. Share an insight, caveat, or question.
Zhu et al. (2019) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: