Siang Ing Lee
Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review
Ing Lee, Siang; Patel, Mitesh; Dutton, Brittany; Weng, Stephen; Luveta, Jocelyn; Qureshi, Nadeem
Authors
Mitesh Patel
BRITTANY HARE Brittany.Hare@nottingham.ac.uk
Clinical Trials Manager
Stephen Weng
Jocelyn Luveta
Professor NADEEM QURESHI nadeem.qureshi@nottingham.ac.uk
Clinical Professor
Abstract
This systematic review evaluated the effectiveness of strategies to identify and manage patients with familial risk of breast, ovarian, colorectal and prostate cancer in primary careto improve clinical outcomes. MEDLINE, EMBASE, CINAHL and Cochrane library were searched from January 1980 to October 2017. We included randomised controlled trials (RCT) and non-randomised studies of interventions (NRSI). Primary outcomes were cancer incidence, cancer related clinical outcomes or identification of cancer predisposition; secondary outcomes were appropriateness of referral, uptake of preventive strategies, cognitive and psychological effect. From 11842 abstracts, 111 full texts were reviewed and three eligible studies (nine articles) identified. Two were cluster RCTs and one NRSI; all used risk assessment software. No studies identified our primary outcomes, with no consistent outcome across the three studies. In one RCT, intervention improved the proportion of genetic referrals meeting referral guidelines for breast cancer (OR 4.5, 95% CI 1.6 to 13.1). In the other RCT, there was no difference in screening adherence between the intervention and control group. However, there was borderline increased risk perception (OR 1.89, 95% CI 0.99 to 3.59) in the subgroup that under-estimated their colon cancer risk. In the NRSI, there was no change in psychological distress inpatients at increased familial breast cancer risk, but population risk patients had reduced anxiety after intervention (state anxiety mean change –3,95% CI -5 to -2). Future studies should have better defined comparator groups, longer follow up, and assess outcomes using validated tools.
Citation
Ing Lee, S., Patel, M., Dutton, B., Weng, S., Luveta, J., & Qureshi, N. (2019). Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review. Journal of Community Genetics, https://doi.org/10.1007/s12687-019-00419-6
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 5, 2019 |
Online Publication Date | May 6, 2019 |
Publication Date | May 6, 2019 |
Deposit Date | Apr 9, 2019 |
Publicly Available Date | May 7, 2020 |
Journal | Journal of Community Genetics |
Print ISSN | 1868-310X |
Electronic ISSN | 1868-6001 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1007/s12687-019-00419-6 |
Keywords | Primary health care; genetic predisposition to disease; breast neoplasm; ovarian neoplasms; colorectal neoplasms; prostatic neoplasms |
Public URL | https://nottingham-repository.worktribe.com/output/1771134 |
Publisher URL | https://link.springer.com/article/10.1007%2Fs12687-019-00419-6 |
Additional Information | This is a post-peer-review, pre-copyedit version of an article published in Journal of Community Genetics. The final authenticated version is available online at: http://dx.doi.org/10.1007/s12687-019-00419-6 |
Contract Date | Apr 9, 2019 |
Files
Lee J Comm Genetics 2019 AAM
(842 Kb)
PDF
You might also like
The red leg dilemma: a scoping review of the challenges of diagnosing lower limb cellulitis
(2018)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search