Login / Signup

Population Study of Ovarian Cancer Risk Prediction for Targeted Screening and Prevention.

Faiza GabaOleg BlyussXinting LiuShivam GoyalNishant LahotiDhivya ChandrasekaranMargarida KurzerJatinderpal KalsiSaskia C SandersonAnne LanceleyMunaza AhmedLucy SideAleksandra Gentry-MaharajYvonne WallisAndrew WallaceJo WallerCraig LuccariniXin YangJoe G DennisAlison DunningAndrew LeeAntonis C AntoniouRosa LegoodUsha MenonIan JacobsRanjit Manchanda
Published in: Cancers (2020)
feasibility/acceptability, uptake, decision aid/telephone helpline use, satisfaction/regret, and impact on psychological health/quality of life. In total, 123 volunteers (mean age = 48.5 (SD = 15.4) years) used the decision aid, 105 (85%) consented. None fulfilled NHS genetic testing clinical criteria. OC risk stratification revealed 1/103 at ≥10% (high), 0/103 at ≥5%-<10% (intermediate), and 100/103 at <5% (low) lifetime OC risk. Decision aid satisfaction was 92.2%. The telephone helpline use rate was 13% and the questionnaire response rate at six months was 75%. Contrast tests indicated that overall depression (p = 0.30), anxiety (p = 0.10), quality-of-life (p = 0.99), and distress (p = 0.25) levels did not jointly change, while OC worry (p = 0.021) and general cancer risk perception (p = 0.015) decreased over six months. In total, 85.5-98.7% were satisfied with their decision. Findings suggest population-based personalised OC risk stratification is feasible and acceptable, has high satisfaction, reduces cancer worry/risk perception, and does not negatively impact psychological health/quality of life.
Keyphrases