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Benefits and harms of prostate cancer screening - predictions of the ONCOTYROL prostate cancer outcome and policy model.
Mühlberger, Nikolai; Boskovic, Kristijan; Krahn, Murray D; Bremner, Karen E; Oberaigner, Willi; Klocker, Helmut; Horninger, Wolfgang; Sroczynski, Gaby; Siebert, Uwe.
Afiliação
  • Mühlberger N; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall i.T, Aust
  • Boskovic K; Division of Health Technology Assessment, ONCOTYROL - Center for Personalized Cancer Medicine, Innsbruck, Austria.
  • Krahn MD; Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060, Hall i.T, Aust
  • Bremner KE; Toronto Health Economics and Technology Assessment (THETA) Collaborative, University of Toronto, Toronto, ON, Canada.
  • Oberaigner W; Toronto General Research Institute, Toronto General Hospital, Toronto, ON, Canada.
  • Klocker H; Toronto General Research Institute, Toronto General Hospital, Toronto, ON, Canada.
  • Horninger W; Cancer Registry of Tyrol, Tirol Kliniken GmbH, Innsbruck, Austria.
  • Sroczynski G; Department of Urology, Medical University of Innsbruck, Innsbruck, Austria.
  • Siebert U; Department of Urology, Medical University of Innsbruck, Innsbruck, Austria.
BMC Public Health ; 17(1): 596, 2017 06 26.
Article em En | MEDLINE | ID: mdl-28651567
ABSTRACT

BACKGROUND:

A recent recalibration of the ONCOTYROL Prostate Cancer Outcome and Policy (PCOP) Model, assuming that latent prostate cancer (PCa) detectable at autopsy might be detectable by screening as well, resulted in considerable worsening of the benefit-harm balance of screening. In this study, we used the recalibrated model to assess the effects of familial risk, quality of life (QoL) preferences, age, and active surveillance.

METHODS:

Men with average and elevated familial PCa risk were simulated in separate models, differing in familial risk parameters. Familial risk was assumed to affect PCa onset and progression simultaneously in the base-case, and separately in scenario analyses. Evaluated screening strategies included one-time screening at different ages, and screening at different intervals and age ranges. Optimal screening strategies were identified depending on age and individual QoL preferences. Strategies were additionally evaluated with active surveillance by biennial re-biopsy delaying treatment of localized cancer until grade progression to Gleason score ≥ 7.

RESULTS:

Screening men with average PCa risk reduced quality-adjusted life expectancy (QALE) even under favorable assumptions. Men with elevated familial risk, depending on age and disutilities, gained QALE. While for men with familial risk aged 55 and 60 years annual screening to age 69 was the optimal strategy over most disutility ranges, no screening was the preferred option for 65 year-old men with average and above disutilities. Active surveillance greatly reduced overtreatment, but QALE gains by averted adverse events were opposed by losses due to delayed treatment and additional biopsies. The effect of active surveillance on the benefit-harm balance of screening differed between populations, as net losses and gains in QALE predicted for screening without active surveillance in men with average and familial PCa risk, respectively, were both reduced.

CONCLUSIONS:

Assumptions about PCa risk and screen-detectable prevalence significantly affect the benefit-harm balance of screening. Based on the assumptions of our model, PCa screening should focus on candidates with familial predisposition with consideration of individual QoL preferences and age. Active surveillance may require treatment initiation before Gleason score progression to 7. Alternative active surveillance strategies should be evaluated in further modeling studies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Qualidade de Vida / Programas de Rastreamento / Anos de Vida Ajustados por Qualidade de Vida / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Qualidade de Vida / Programas de Rastreamento / Anos de Vida Ajustados por Qualidade de Vida / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2017 Tipo de documento: Article