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Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk

There is an opportunity to improve outcomes for ovarian cancer (OC) through advances in risk stratification, early detection and diagnosis. A population-based OC genetic risk prediction and stratification program is being developed. A previous focus group study with individuals from the general popu...

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Autores principales: Rahman, Belinda, Meisel, Susanne F., Fraser, Lindsay, Side, Lucy, Gessler, Sue, Wardle, Jane, Lanceley, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355441/
https://www.ncbi.nlm.nih.gov/pubmed/25391615
http://dx.doi.org/10.1007/s10689-014-9769-5
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author Rahman, Belinda
Meisel, Susanne F.
Fraser, Lindsay
Side, Lucy
Gessler, Sue
Wardle, Jane
Lanceley, Anne
author_facet Rahman, Belinda
Meisel, Susanne F.
Fraser, Lindsay
Side, Lucy
Gessler, Sue
Wardle, Jane
Lanceley, Anne
author_sort Rahman, Belinda
collection PubMed
description There is an opportunity to improve outcomes for ovarian cancer (OC) through advances in risk stratification, early detection and diagnosis. A population-based OC genetic risk prediction and stratification program is being developed. A previous focus group study with individuals from the general population showed support for the proposed program. This qualitative interview study explores the attitudes of women at high risk of OC. Eight women participated in one-on-one, in-depth, semi-structured interviews to explore: experiences of learning of OC risk, risk perceptions, OC knowledge and awareness, and opinions on risk stratification approach. There was evidence of strong support for the proposed program. Benefits were seen as providing reassurance to women at low risk, and reducing worry in women at high risk through appropriate clinical management. Stratification into ‘low’ and ‘high’ risk groups was well-received. Participants were more hesitant about stratification to the ‘intermediate’ risk group. The data suggest formats to effectively communicate OC risk estimates will require careful thought. Interactions with GPs were highlighted as a barrier to OC risk assessment and diagnosis. These results are encouraging for the possible introduction and uptake of a risk prediction and stratification program for OC in the general population.
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spelling pubmed-43554412015-03-13 Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk Rahman, Belinda Meisel, Susanne F. Fraser, Lindsay Side, Lucy Gessler, Sue Wardle, Jane Lanceley, Anne Fam Cancer Original Article There is an opportunity to improve outcomes for ovarian cancer (OC) through advances in risk stratification, early detection and diagnosis. A population-based OC genetic risk prediction and stratification program is being developed. A previous focus group study with individuals from the general population showed support for the proposed program. This qualitative interview study explores the attitudes of women at high risk of OC. Eight women participated in one-on-one, in-depth, semi-structured interviews to explore: experiences of learning of OC risk, risk perceptions, OC knowledge and awareness, and opinions on risk stratification approach. There was evidence of strong support for the proposed program. Benefits were seen as providing reassurance to women at low risk, and reducing worry in women at high risk through appropriate clinical management. Stratification into ‘low’ and ‘high’ risk groups was well-received. Participants were more hesitant about stratification to the ‘intermediate’ risk group. The data suggest formats to effectively communicate OC risk estimates will require careful thought. Interactions with GPs were highlighted as a barrier to OC risk assessment and diagnosis. These results are encouraging for the possible introduction and uptake of a risk prediction and stratification program for OC in the general population. Springer Netherlands 2014-11-13 2015 /pmc/articles/PMC4355441/ /pubmed/25391615 http://dx.doi.org/10.1007/s10689-014-9769-5 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Rahman, Belinda
Meisel, Susanne F.
Fraser, Lindsay
Side, Lucy
Gessler, Sue
Wardle, Jane
Lanceley, Anne
Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
title Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
title_full Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
title_fullStr Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
title_full_unstemmed Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
title_short Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
title_sort population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355441/
https://www.ncbi.nlm.nih.gov/pubmed/25391615
http://dx.doi.org/10.1007/s10689-014-9769-5
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