PLoS ONE · 2019 · 37 citations · 47 references
MedicineGeneticsOncologyCost-effectiveness AnalysisCost-utility AnalysisGynecologic OncologyCancer Molecular DiagnosticsCost-effectiveness ThresholdsDiagnostic Test EvaluationGenetic Risk AssessmentInherited Disease TestingRisk-benefit AssessmentCancer Cost BurdenCancer Screening StrategiesCost-effectivenessCost-effectiveness Of Diagnostic TestingDiagnostic Test CostsEconomic Burden Of CancerHereditary Endometrial CancerRelative Effectiveness Estimation
BACKGROUND: Lynch syndrome is a hereditary cancer syndrome caused by constitutional pathogenic variants in the DNA mismatch repair (MMR) system, leading to increased risk of colorectal, endometrial and other cancers. The study aimed to identify the incremental costs and consequences of strategies to identify Lynch syndrome in women with endometrial cancer. METHODS: A decision-analytic model was developed to evaluate the relative cost-effectiveness of reflex testing strategies for identifying Lynch syndrome in women with endometrial cancer taking the NHS perspective and a lifetime horizon. Model input parameters were sourced from various published sources. Consequences were measured using quality-adjusted life years (QALYs). A cost-effectiveness threshold of £20 000/QALY was used. RESULTS: Reflex testing for Lynch syndrome using MMR immunohistochemistry and MLH1 methylation testing was cost-effective versus no testing, costing £14 200 per QALY gained. There was uncertainty due to parameter imprecision, with an estimated 42% chance this strategy is not cost-effective compared with no testing. Age had a significant impact on cost-effectiveness, with testing not predicted to be cost-effective in patients aged 65 years and over. CONCLUSIONS: Testing for Lynch syndrome in younger women with endometrial cancer using MMR immunohistochemistry and MLH1 methylation testing may be cost-effective. Age cut-offs may be controversial and adversely affect implementation.
47
SEER Cancer Statistics Review, 1975-2003
Lynn A. G. Ries, D. Harkins, Martin Krapcho et al. · ScholarWorks - Georgia State University (Georgia State University) · 2006 · 11.5K citations · Full text
Medicine, Biostatistics, Oncology +12
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement
Don Husereau, Michael Drummond, Stavros Petrou et al. · BMJ · 2013 · 1.8K citations · Full text