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

Advanced search
Browse by:

Department | Year

UCL Theses | Latest

Deposit your research

Bookmark & Share

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, U; Ryan, A; Kalsi, J; Gentry-Maharaj, A; Dawnay, A; Habib, M; Apostolidou, S; ... Jacobs, I; + view all (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. 10.1200/JCO.2014.59.4945. Green open access

[thumbnail of JCO-2015-Menon-2062-71.pdf]

Preview

Text
JCO-2015-Menon-2062-71.pdf
Download (800kB) | Preview

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.

Type:	Article
Title:	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
Location:	United States
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1200/JCO.2014.59.4945
Publisher version:	http://dx.doi.org/10.1200/JCO.2014.59.4945
Language:	English
Additional information:	© 2015 by American Society of Clinical Oncology Licensed under the Creative Commons Attribution 3.0 License: http://creativecommons.org/licenses/by/3.0/
Keywords:	Aged, Algorithms, CA-125 Antigen, Early Detection of Cancer, Female, Follow-Up Studies, Great Britain, Humans, Mass Screening, Middle Aged, Ovarian Neoplasms, Predictive Value of Tests, Questionnaires, Risk Factors, Sensitivity and Specificity, Treatment Outcome, Tumor Markers, Biological
UCL classification:	UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer
URI:	https://discovery.ucl.ac.uk/id/eprint/1471748

Downloads since deposit

161Downloads

Download activity - last month

Download activity - last 12 months

Downloads by country - last 12 months

Archive Staff Only

View Item