Imperial College London

Prof Marc Chadeau-Hyam

Faculty of MedicineSchool of Public Health

Professor of Computational Epidemiology and Biostatistics
 
 
 
//

Contact

 

+44 (0)20 7594 1637m.chadeau

 
 
//

Location

 

520Medical SchoolSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Brewer:2020:10.1136/bmjopen-2020-037459,
author = {Brewer, H and Hirst, Y and Sudha, S and Chadeau-Hyam, M and Flanagan, J},
doi = {10.1136/bmjopen-2020-037459},
journal = {BMJ Open},
pages = {1--9},
title = {Cancer Loyalty Card Study (CLOCS): protocol for an observational case-control study focusing on the patient interval in ovarian cancer diagnosis},
url = {http://dx.doi.org/10.1136/bmjopen-2020-037459},
volume = {10},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - IntroductionOvarian Cancer is the eighth most common cancer in women worldwide, and about one infive women with ovarian cancer do not receive treatment, because they are too unwell by thetime they are diagnosed. Symptoms of ovarian cancer are non-specific or can be associatedwith other common conditions, and women experiencing these symptoms have been shownto self-manage them using over-the-counter medication. Results from a recent proof ofconcept study suggest there may be an increase in the purchases of pain killers andindigestion medication 10-12 months before ovarian cancer diagnosis. We propose a casecontrol study, as part of a larger project called the Cancer Loyalty Card Study (CLOCS), toinvestigate whether a significant change in medication purchases could be an indication forearly signs of ovarian cancer, using data already collected through store loyalty cards.Methods and AnalysisUsing a retrospective case-control design, we aim to recruit 500 women diagnosed withovarian cancer (cases) and 500 women without ovarian cancer (controls) in the UnitedKingdom who hold a loyalty card with at least one participating high street retailer. We willuse pre-existing loyalty card data to compare past purchase patterns of cases with those ofcontrols. In order to assess ovarian cancer risk in participants and their purchase patterns, wewill collect information from participants on ovarian cancer risk factors and clinical dataincluding symptoms experienced before diagnosis from recruited women with ovariancancer.Ethics and disseminationCLOCS was reviewed and approved by the North West - Greater Manchester South ResearchEthics Committee (19/NW/0427). Study outcomes will be disseminated through academicpublications, the study website, social media, and a report to the research sites that supportthe study once results are published.Study Registration NumbersCLOCS is registered with ISRCTN (14897082), NIHR portfolio (CPMS 43323), andclinicaltrials.gov (NCT03994653).
AU - Brewer,H
AU - Hirst,Y
AU - Sudha,S
AU - Chadeau-Hyam,M
AU - Flanagan,J
DO - 10.1136/bmjopen-2020-037459
EP - 9
PY - 2020///
SN - 2044-6055
SP - 1
TI - Cancer Loyalty Card Study (CLOCS): protocol for an observational case-control study focusing on the patient interval in ovarian cancer diagnosis
T2 - BMJ Open
UR - http://dx.doi.org/10.1136/bmjopen-2020-037459
UR - https://bmjopen.bmj.com/content/10/9/e037459.info
UR - http://hdl.handle.net/10044/1/81346
VL - 10
ER -