Woof Victoria G, Howell Anthony, Fox Lynne, McWilliams Lorna, Evans Dafydd Gareth R, French David P
University of Manchester, Manchester, United Kingdom.
Family History Risk and Prevention Clinic, Prevent Breast Cancer Unit, Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Cancer Epidemiol Biomarkers Prev. 2024 Dec 2;33(12):1671-1677. doi: 10.1158/1055-9965.EPI-24-0581.
The incorporation of breast density and a polygenic risk score (PRS) into breast cancer risk prediction models can alter previously communicated risk estimates. Previous research finds that risk communication does not usually change personal risk appraisals. This study aimed to examine how women from the family history risk study appraise their breast cancer risk following communication of an updated risk estimate.
In the family history risk study, 323 women attended a consultation to receive an updated breast cancer risk estimate. A subset (n = 190) completed a questionnaire, assessing their subjective breast cancer risk appraisals, satisfaction with the information provided, and cancer-related worry. One hundred and three were notified of a decreased risk, 34 an increased risk, and 53 an unchanged risk.
Women's subjective risk appraisals were in line with the updated risk estimates provided, with age, a PRS, and breast density explaining most of the variance in these appraisals. Those notified of an increased risk demonstrated higher subjective risk perceptions compared with those whose risk remained unchanged or decreased.
Women's subjective breast cancer risk appraisals are amenable to change following updated risk feedback, with new information breast density and a PRS accepted and integrated into existing risk appraisals. Trust in the service, the analogies, and visual communication strategies used may have positively influenced the integration of this new information.
Further research is warranted to assess whether similar patterns emerge for other illnesses and in different clinical contexts to determine the best strategies for communicating updated risk estimates.
将乳腺密度和多基因风险评分(PRS)纳入乳腺癌风险预测模型可能会改变先前传达的风险估计。先前的研究发现,风险沟通通常不会改变个人风险评估。本研究旨在探讨家族史风险研究中的女性在收到更新后的风险估计后如何评估其乳腺癌风险。
在家族史风险研究中,323名女性参加了一次咨询,以获得更新后的乳腺癌风险估计。一个子集(n = 190)完成了一份问卷,评估她们对乳腺癌的主观风险评估、对所提供信息的满意度以及与癌症相关的担忧。其中103人被告知风险降低,34人被告知风险增加,53人被告知风险不变。
女性的主观风险评估与所提供的更新后的风险估计一致,年龄、PRS和乳腺密度解释了这些评估中大部分的差异。与风险保持不变或降低的女性相比,被告知风险增加的女性表现出更高的主观风险认知。
在更新风险反馈后,女性的主观乳腺癌风险评估易于改变,乳腺密度和PRS等新信息被接受并整合到现有的风险评估中。对所使用的服务、类比和视觉沟通策略的信任可能对这些新信息的整合产生了积极影响。
有必要进行进一步研究,以评估在其他疾病和不同临床背景下是否会出现类似模式,从而确定传达更新风险估计的最佳策略。