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; +26 more...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
; 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
; 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
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.
-
picture_as_pdf -
subject - Published Version
-
- Available under Creative Commons: Attribution 4.0
Downloads