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Which Lynch syndrome screening programs could be implemented in the "real world"? A systematic review of economic evaluations. Genet Med 2018; 20:1131-1144. [PMID: 29300371 PMCID: PMC8660650 DOI: 10.1038/gim.2017.244] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 11/17/2017] [Indexed: 12/14/2022] Open
Abstract
Purpose Lynch syndrome (LS) screening can significantly reduce cancer morbidity and mortality in mutation carriers. Our aim was to identify cost-effective LS screening programs that can be implemented in the “real world.” Methods We performed a systematic review of full economic evaluations of genetic screening for LS in different target populations; health outcomes were estimated in life-years gained or quality-adjusted life-years. Results Overall, 20 studies were included in the systematic review. Based on the study populations, we identified six categories of LS screening program: colorectal cancer (CRC)–based, endometrial cancer–based, general population–based, LS family registry–based, cascade testing–based, and genetics clinic–based screening programs. We performed an in-depth analysis of CRC-based LS programs, classifying them into three additional subcategories: universal, age-targeted, and selective. In five studies, universal programs based on immunohistochemistry, either alone or in combination with the BRAF test, were cost-effective compared with no screening, while in two studies age-targeted programs with a cutoff of 70 years were cost-effective when compared with age-targeted programs with lower age thresholds. Conclusion Universal or <70 years–age-targeted CRC-based LS screening programs are cost-effective and should be implemented in the “real world.”
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Grosse SD. When is Genomic Testing Cost-Effective? Testing for Lynch Syndrome in Patients with Newly-Diagnosed Colorectal Cancer and Their Relatives. Healthcare (Basel) 2015; 3:860-78. [PMID: 26473097 PMCID: PMC4604059 DOI: 10.3390/healthcare3040860] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Varying estimates of the cost-effectiveness of genomic testing applications can reflect differences in study questions, settings, methods and assumptions. This review compares recently published cost-effectiveness analyses of testing strategies for Lynch Syndrome (LS) in tumors from patients newly diagnosed with colorectal cancer (CRC) for either all adult patients or patients up to age 70 along with cascade testing of relatives of probands. Seven studies published from 2010 through 2015 were identified and summarized. Five studies analyzed the universal offer of testing to adult patients with CRC and two others analyzed testing patients up to age 70; all except one reported incremental cost-effectiveness ratios (ICERs) < $ 100,000 per life-year or quality-adjusted life-year gained. Three studies found lower ICERs for selective testing strategies using family history-based predictive models compared with universal testing. However, those calculations were based on estimates of sensitivity of predictive models derived from research studies, and it is unclear how sensitive such models are in routine clinical practice. Key model parameters that are influential in ICER estimates included 1) the number of first-degree relatives tested per proband identified with LS and 2) the cost of gene sequencing. Others include the frequency of intensive colonoscopic surveillance, the cost of colonoscopy, and the inclusion of extracolonic surveillance and prevention options.
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Affiliation(s)
- Scott D Grosse
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; Tel.: +404-498-3074
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Barzi A, Sadeghi S, Kattan MW, Meropol NJ. Comparative effectiveness of screening strategies for Lynch syndrome. J Natl Cancer Inst 2015; 107:djv005. [PMID: 25794514 DOI: 10.1093/jnci/djv005] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Colorectal cancer is the second leading cause of cancer death in the United States. Approximately 3% of colorectal cancers are associated with Lynch Syndrome. Controversy exists regarding the optimal screening strategy for Lynch Syndrome. METHODS Using an individual level microsimulation of a population affected by Lynch syndrome over several years, effectiveness and cost-effectiveness of 21 screening strategies were compared. Modeling assumptions were based upon published literature, and sensitivity analyses were performed for key assumptions. In a two-step process, the number of Lynch syndrome diagnoses (Step 1) and life-years gained as a result of foreknowledge of Lynch syndrome in otherwise healthy carriers (Step 2) were measured. RESULTS The optimal strategy was sequential screening for probands starting with a predictive model, then immunohistochemistry for mismatch repair protein expression (IHC), followed by germline mutation testing (incremental cost-effectiveness ratio [ICER] of $35 143 per life-year gained). The strategies of IHC + BRAF, germline testing and universal germline testing of colon cancer probands had ICERs of $144 117 and $996 878, respectively. CONCLUSIONS This analysis suggests that the initial step in screening for Lynch Syndrome should be the use of predictive models in probands. Universal tumor testing and general population screening strategies are not cost-effective. When family history is unavailable, alternate strategies are appropriate. Documentation of family history and screening for Lynch Syndrome using a predictive model may be considered a quality-of-care measure for patients with colorectal cancer.
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Affiliation(s)
- Afsaneh Barzi
- Department of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (AB, SS); Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH (MWK); Cleveland Clinic Lerner College of Medicine, Cleveland, OH (MWK); Department of Epidemiology and Biostatistics (MWK) and Department of Medicine (NJM), School of Medicine, and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH; Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH (NJM)
| | - Sarmad Sadeghi
- Department of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (AB, SS); Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH (MWK); Cleveland Clinic Lerner College of Medicine, Cleveland, OH (MWK); Department of Epidemiology and Biostatistics (MWK) and Department of Medicine (NJM), School of Medicine, and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH; Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH (NJM)
| | - Michael W Kattan
- Department of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (AB, SS); Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH (MWK); Cleveland Clinic Lerner College of Medicine, Cleveland, OH (MWK); Department of Epidemiology and Biostatistics (MWK) and Department of Medicine (NJM), School of Medicine, and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH; Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH (NJM)
| | - Neal J Meropol
- Department of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (AB, SS); Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH (MWK); Cleveland Clinic Lerner College of Medicine, Cleveland, OH (MWK); Department of Epidemiology and Biostatistics (MWK) and Department of Medicine (NJM), School of Medicine, and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH; Department of Medicine, University Hospitals Case Medical Center, Cleveland, OH (NJM)
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