Risk algorithm using serial biomarker measurements doubles the number of screen-detected cancers compared with a single-threshold rule in the United Kingdom collaborative trial of ovarian cancer screening

Menon, Usha, Ryan, Andy, Kalsi, Jatinderpal, Gentry-Maharaj, Aleksandra, Dawnay, Anne, Habib, Mariam, Apostolidou, Sophia, Singh, Naveena, Benjamin, Elizabeth, Burnell, Matthew, Davies, Susan, Sharma, Aarti, Gunu, Richard, Godfrey, Keith, Lopes, Alberto, Oram, David, Herod, Jonathan, Williamson, Karin, Seif, Mourad W., Jenkins, Howard, Mould, Tim, Woolas, Robert, Murdoch, John B., Dobbs, Stephen, Amso, Nazar N., Leeson, Simon, Cruickshank, Derek, Scott, Ian, Fallowfield, Lesley, Widschwendter, Martin, Reynolds, Karina, McGuire, Alistair ORCID: 0000-0002-5367-9841, Campbell, Stuart, Parmar, Mahesh, Skates, Steven J. and Jacobs, Ian (2015) Risk algorithm using serial biomarker measurements doubles the number of screen-detected cancers compared with a single-threshold rule in the United Kingdom collaborative trial of ovarian cancer screening. Journal of Clinical Oncology, 33 (18). pp. 2062-2071. ISSN 0732-183X

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Abstract

Cancer screening strategies have commonly adopted single-biomarker thresholds to identify abnormality. We investigated the impact of serial biomarker change interpreted through a risk algorithm on cancer detection rates.

Item Type:	Article
Official URL:	http://ascopubs.org/journal/jco
Additional Information:	© 2015 by American Society of Clinical Oncology © CC BY 3.0
Divisions:	Social Policy LSE Health
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Date Deposited:	13 Feb 2017 12:43
Last Modified:	12 Dec 2024 01:01
URI:	http://eprints.lse.ac.uk/id/eprint/69385

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