Cost-effectiveness of the Manchester approach to identifying Lynch syndrome in women with endometrial cancer
dc.contributor.author | Snowsill, T | |
dc.contributor.author | Ryan, N | |
dc.contributor.author | Crosbie, E | |
dc.date.accessioned | 2020-05-29T12:02:08Z | |
dc.date.issued | 2020-06-01 | |
dc.description.abstract | Lynch syndrome (LS) is a hereditary cancer syndrome responsible for 3% of all endometrial cancer and 5% in those aged under 70 years. It is unclear whether universal testing for LS in endometrial cancer patients would be cost-effective. The Manchester approach to identifying LS in endometrial cancer patients uses immunohistochemistry (IHC) to detect mismatch repair (MMR) deficiency, incorporates testing for MLH1 promoter hypermethylation, and genetic testing for pathogenic MMR variants. We aimed to assess the cost-effectiveness of the Manchester approach based on primary research data from clinical practice in Manchester. The PETALS study informed estimates of diagnostic performances for a number of different strategies. A recent microcosting study was adapted and used to estimate diagnostic costs. A Markov model was used to predict long-term costs and health outcomes (measured in quality-adjusted life years, QALYs) for individuals and their relatives. Bootstrapping and probabilistic sensitivity analysis were used to estimate the uncertainty in cost-effectiveness. The Manchester approach dominated other reflex testing strategies when considering diagnostic costs and Lynch syndrome cases identified. When considering long-term costs and QALYs the Manchester approach was the optimal strategy, costing £5459 per QALY gained (compared to thresholds of £20,000 to £30,000 per QALY commonly used in the NHS). Cost-effectiveness is not an argument for restricting testing to younger patients or those with a strong family history. Universal testing for Lynch syndrome in endometrial cancer patients is expected to be cost-effective in the UK NHS, and the Manchester approach is expected to be the optimal testing strategy. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.identifier.citation | Vol. 9 (6), article 1664 | en_GB |
dc.identifier.doi | 10.3390/jcm9061664 | |
dc.identifier.grantnumber | MR/M018431/1 | en_GB |
dc.identifier.grantnumber | IS-BRC-1215-20007 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/121210 | |
dc.language.iso | en | en_GB |
dc.publisher | MDPI | en_GB |
dc.rights | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | |
dc.subject | Lynch syndrome | en_GB |
dc.subject | endometrial cancer | en_GB |
dc.subject | reflex testing | en_GB |
dc.subject | cost-effectiveness analysis | en_GB |
dc.subject | decision analytic model | en_GB |
dc.title | Cost-effectiveness of the Manchester approach to identifying Lynch syndrome in women with endometrial cancer | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-05-29T12:02:08Z | |
dc.identifier.issn | 2077-0383 | |
dc.description | This is the final version. Available on open access from MDPI via the DOI in this record | en_GB |
dc.identifier.journal | Journal of Clinical Medicine | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-05-22 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-05-22 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-05-29T10:39:56Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-06-01T15:24:41Z | |
refterms.panel | A | en_GB |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).