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Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing

BACKGROUND: Population-based testing for BRCA1/2 mutations detects the high proportion of carriers not identified by cancer family history (FH)–based testing. We compared the cost-effectiveness of population-based BRCA testing with the standard FH-based approach in Ashkenazi Jewish (AJ) women. METHO...

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Autores principales: Manchanda, Ranjit, Legood, Rosa, Burnell, Matthew, McGuire, Alistair, Raikou, Maria, Loggenberg, Kelly, Wardle, Jane, Sanderson, Saskia, Gessler, Sue, Side, Lucy, Balogun, Nyala, Desai, Rakshit, Kumar, Ajith, Dorkins, Huw, Wallis, Yvonne, Chapman, Cyril, Taylor, Rohan, Jacobs, Chris, Tomlinson, Ian, Beller, Uziel, Menon, Usha, Jacobs, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301704/
https://www.ncbi.nlm.nih.gov/pubmed/25435542
http://dx.doi.org/10.1093/jnci/dju380
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author Manchanda, Ranjit
Legood, Rosa
Burnell, Matthew
McGuire, Alistair
Raikou, Maria
Loggenberg, Kelly
Wardle, Jane
Sanderson, Saskia
Gessler, Sue
Side, Lucy
Balogun, Nyala
Desai, Rakshit
Kumar, Ajith
Dorkins, Huw
Wallis, Yvonne
Chapman, Cyril
Taylor, Rohan
Jacobs, Chris
Tomlinson, Ian
Beller, Uziel
Menon, Usha
Jacobs, Ian
author_facet Manchanda, Ranjit
Legood, Rosa
Burnell, Matthew
McGuire, Alistair
Raikou, Maria
Loggenberg, Kelly
Wardle, Jane
Sanderson, Saskia
Gessler, Sue
Side, Lucy
Balogun, Nyala
Desai, Rakshit
Kumar, Ajith
Dorkins, Huw
Wallis, Yvonne
Chapman, Cyril
Taylor, Rohan
Jacobs, Chris
Tomlinson, Ian
Beller, Uziel
Menon, Usha
Jacobs, Ian
author_sort Manchanda, Ranjit
collection PubMed
description BACKGROUND: Population-based testing for BRCA1/2 mutations detects the high proportion of carriers not identified by cancer family history (FH)–based testing. We compared the cost-effectiveness of population-based BRCA testing with the standard FH-based approach in Ashkenazi Jewish (AJ) women. METHODS: A decision-analytic model was developed to compare lifetime costs and effects amongst AJ women in the UK of BRCA founder-mutation testing amongst: 1) all women in the population age 30 years or older and 2) just those with a strong FH (≥10% mutation risk). The model assumes that BRCA carriers are offered risk-reducing salpingo-oophorectomy and annual MRI/mammography screening or risk-reducing mastectomy. Model probabilities utilize the Genetic Cancer Prediction through Population Screening trial/published literature to estimate total costs, effects in terms of quality-adjusted life-years (QALYs), cancer incidence, incremental cost-effectiveness ratio (ICER), and population impact. Costs are reported at 2010 prices. Costs/outcomes were discounted at 3.5%. We used deterministic/probabilistic sensitivity analysis (PSA) to evaluate model uncertainty. RESULTS: Compared with FH-based testing, population-screening saved 0.090 more life-years and 0.101 more QALYs resulting in 33 days’ gain in life expectancy. Population screening was found to be cost saving with a baseline-discounted ICER of -£2079/QALY. Population-based screening lowered ovarian and breast cancer incidence by 0.34% and 0.62%. Assuming 71% testing uptake, this leads to 276 fewer ovarian and 508 fewer breast cancer cases. Overall, reduction in treatment costs led to a discounted cost savings of £3.7 million. Deterministic sensitivity analysis and 94% of simulations on PSA (threshold £20000) indicated that population screening is cost-effective, compared with current NHS policy. CONCLUSION: Population-based screening for BRCA mutations is highly cost-effective compared with an FH-based approach in AJ women age 30 years and older.
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spelling pubmed-43017042015-02-24 Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing Manchanda, Ranjit Legood, Rosa Burnell, Matthew McGuire, Alistair Raikou, Maria Loggenberg, Kelly Wardle, Jane Sanderson, Saskia Gessler, Sue Side, Lucy Balogun, Nyala Desai, Rakshit Kumar, Ajith Dorkins, Huw Wallis, Yvonne Chapman, Cyril Taylor, Rohan Jacobs, Chris Tomlinson, Ian Beller, Uziel Menon, Usha Jacobs, Ian J Natl Cancer Inst Article BACKGROUND: Population-based testing for BRCA1/2 mutations detects the high proportion of carriers not identified by cancer family history (FH)–based testing. We compared the cost-effectiveness of population-based BRCA testing with the standard FH-based approach in Ashkenazi Jewish (AJ) women. METHODS: A decision-analytic model was developed to compare lifetime costs and effects amongst AJ women in the UK of BRCA founder-mutation testing amongst: 1) all women in the population age 30 years or older and 2) just those with a strong FH (≥10% mutation risk). The model assumes that BRCA carriers are offered risk-reducing salpingo-oophorectomy and annual MRI/mammography screening or risk-reducing mastectomy. Model probabilities utilize the Genetic Cancer Prediction through Population Screening trial/published literature to estimate total costs, effects in terms of quality-adjusted life-years (QALYs), cancer incidence, incremental cost-effectiveness ratio (ICER), and population impact. Costs are reported at 2010 prices. Costs/outcomes were discounted at 3.5%. We used deterministic/probabilistic sensitivity analysis (PSA) to evaluate model uncertainty. RESULTS: Compared with FH-based testing, population-screening saved 0.090 more life-years and 0.101 more QALYs resulting in 33 days’ gain in life expectancy. Population screening was found to be cost saving with a baseline-discounted ICER of -£2079/QALY. Population-based screening lowered ovarian and breast cancer incidence by 0.34% and 0.62%. Assuming 71% testing uptake, this leads to 276 fewer ovarian and 508 fewer breast cancer cases. Overall, reduction in treatment costs led to a discounted cost savings of £3.7 million. Deterministic sensitivity analysis and 94% of simulations on PSA (threshold £20000) indicated that population screening is cost-effective, compared with current NHS policy. CONCLUSION: Population-based screening for BRCA mutations is highly cost-effective compared with an FH-based approach in AJ women age 30 years and older. Oxford University Press 2014-11-28 /pmc/articles/PMC4301704/ /pubmed/25435542 http://dx.doi.org/10.1093/jnci/dju380 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Article
Manchanda, Ranjit
Legood, Rosa
Burnell, Matthew
McGuire, Alistair
Raikou, Maria
Loggenberg, Kelly
Wardle, Jane
Sanderson, Saskia
Gessler, Sue
Side, Lucy
Balogun, Nyala
Desai, Rakshit
Kumar, Ajith
Dorkins, Huw
Wallis, Yvonne
Chapman, Cyril
Taylor, Rohan
Jacobs, Chris
Tomlinson, Ian
Beller, Uziel
Menon, Usha
Jacobs, Ian
Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing
title Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing
title_full Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing
title_fullStr Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing
title_full_unstemmed Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing
title_short Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing
title_sort cost-effectiveness of population screening for brca mutations in ashkenazi jewish women compared with family history–based testing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301704/
https://www.ncbi.nlm.nih.gov/pubmed/25435542
http://dx.doi.org/10.1093/jnci/dju380
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