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
Author(s) -
Usha Me,
Andy Ryan,
Jatinderpal Kalsi,
Aleksandra GentryMaharaj,
Anne Dawnay,
Mariam Habib,
Sophia Apostolidou,
Naveena Singh,
Elizabeth Benjamin,
Matthew Burnell,
S. J. Davies,
Aarti Sharma,
Richard Gunu,
Keith Godfrey,
Alberto Lopes,
David Oram,
Jonathan Herod,
Karin Williamson,
Mourad W. Seif,
Howard J. Jenkins,
Tim Mould,
Robert Woolas,
John Murdoch,
Stephen Dobbs,
Nazar N. Amso,
Simon Leeson,
Derek Cruickshank,
Ian Scott,
Lesley Fallowfield,
Martin Widschwendter,
Karina Reynolds,
Alistair McGuire,
Stuart Campbell,
Mahesh Parmar,
Steven J. Skates,
Ian Jacobs
Publication year - 2015
Publication title -
journal of clinical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.482
H-Index - 548
eISSN - 1527-7755
pISSN - 0732-183X
DOI - 10.1200/jco.2014.59.4945
Subject(s) - medicine , ovarian cancer , incidence (geometry) , cancer , biomarker , cancer registry , algorithm , receiver operating characteristic , gynecology , oncology , obstetrics , biochemistry , chemistry , physics , computer science , optics
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.
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