Skip to main content

Research Repository

See what's under the surface

Characteristics predicting recommendation for familial breast cancer referral in a cohort of women from primary care

Lee, Siang Ing; Kai, Joe; Qureshi, Nadeem; Dutton, Brittany; Weng, Stephen


Siang Ing Lee

Joe Kai

Nadeem Qureshi

Brittany Dutton

Stephen Weng


Family history of breast and related cancers can indicate increased breast cancer (BC) risk. In national familial breast cancer (FBC) guidelines, the risk is stratified to guide referral decisions. We aimed to identify characteristics associated with the recommendation for referral in a large cohort of women undergoing FBC risk assessment in a recent primary care study. Demographic, family history, psychological and behavioural factors were collected with family history questionnaires, psychological questionnaires and manual data extraction from general practice electronic health records. Participants were women aged 30-60 with no previous history of breast or ovarian cancer. Data from 1127 women were analysed with stepwise logistic regression. Two multivariable logistic models were developed to predict recommendations for referral: using the entire cohort (n =1127) and in a subgroup with uncertain risks (n =168). Model performance was assessed by the area under the receiver operating curve (AUC). In all 1127 women, a multivariable model incorporating five family history components (BC aged

Journal Article Type Article
Publication Date Jan 22, 2020
Journal Journal of Community Genetics
Print ISSN 1868-310X
Electronic ISSN 1868-6001
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
APA6 Citation Lee, S. I., Kai, J., Qureshi, N., Dutton, B., & Weng, S. (2020). Characteristics predicting recommendation for familial breast cancer referral in a cohort of women from primary care. Journal of Community Genetics,
Keywords Genetics(clinical); Public Health, Environmental and Occupational Health; Epidemiology
Publisher URL
Additional Information Received: 8 July 2019; Accepted: 14 January 2020; First Online: 22 January 2020; : ; : SW is a member of the Clinical Practice Research Datalink (CPRD) Independent Scientific Advisory Committee at the UK MHRA, academic advisor to Quealth Ltd., and has received independent research grants from AMGEN Ltd. NQ is a member of the NICE Guideline Development Group for Familial Breast Cancer and the advisory board for Journal of Community Genetics. SIL, BD, JK declare no potential conflict of interest.; : The study was granted ethics approval by Nottingham 2 Medical Research and Ethics Committee, reference number 14/EM/0009, and was performed in accordance with the Declaration of Helsinki.; : The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.


You might also like

Downloadable Citations