OC 14-15BALANCING BENEFITS AND HARMS IN CERVICAL CANCER SCREENING – A DECISION ANALYSIS FOR THE AUSTRIAN HEALTH CARE CONTEXT.

08. Screening methods
G. Sroczynski 1, E. Esteban 2, A. Widschwendter 3, W. Oberaigner 4, W. Borena 5, D. Von Laer 5, M. Hackl 6, G. Endel 7, U. Siebert 8.
1Department of Public Health, Health Services Research, and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T./ ONCOTYROL Center for Personalized Cancer Medicine, Innsbruck (Austria), 2Department of Public Health, Health Services Research, and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T./ ONCOTYROL Center for Personalized Cancer Medicine, Innsbruck (Austria), 3Department of Obstetrics and Gynecology, Medical University Innsbruck, Innsbruck (Austria), 4Institute for Clinical Epidemiology, Cancer Registry Tyrol, Tirol Kliniken, Innsbruck (Austria), 5Division of Virology, Department of Hygiene, Microbiology, Social Medicine, Medical University of Innsbruck, Innsbruck (Austria), 6Statistics Austria, Austrian National Cancer Registry, Vienna (Austria), 7Department for Evidence Based Economic Health Care, Main Association of Austrian Social Insurance Institutions, Vienna (Austria), 8Department of Public Health, Health Services Research, and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T./ ONCOTYROL Center for Personalized Cancer Medicine, Innsbruck / Harvard T. H. Chan School of Public Health & ITA, Boston, USA (Austria)

Background / Objectives

Primary cervical cancer screening may be optimized using new risk-based screening and follow-up algorithms with improved benefit-harm trade-offs. Our aim was to systematically evaluate and compare the benefit-harm balance of different cervical cancer primary screening strategies for the Austrian context.


Methods

We used a validated Markov-state-transition model calibrated to the Austrian epidemiological setting and clinical context of the disease to evaluate different screening strategies that differ by primary screening test (including cytology, p16/Ki-67-dual stain, and HPV-testing alone or in combinations), screening interval, age, and specific follow-up algorithms for women with positive test results. Austrian clinical, epidemiological and economic data, as well as test accuracy data from international meta-analyses and trials were incorporated. Predicted outcomes are reduction in cervical cancer incidence and mortality, remaining life expectancy, overtreatment (defined as conization with histological diagnosis of no lesion or a lesion grade CIN 1), and the incremental harm-benefit ratios (IHBR) measured in numbers of overtreatment per additional prevented cervical cancer death. Comprehensive sensitivity analyses were performed.


Results

Based on our results, within the same screening interval, HPV-based primary screening strategies are more effective compared with cytology or with p16/Ki-67-testing alone. Adopting risk-based follow-up algorithms including p16/Ki-67 triage for women with ASCUS or LSIL and colposcopy referral for women with HSIL or p16/Ki-67-positivity can reduce overtreatment. In the base-case analysis (31-43% screening adherence in women age 20-59 years), the IHBRs were 19 (5-yearly cytology+p16/Ki-67-triage), 31 (3-yearly cytology+p16/Ki-67-triage), 40 (3-yearly HPV+cytology cotesting), 45 (2-yearly HPV+ cytology cotesting), 131 (annual cytology +p16/Ki-67-triage), and 355 (annual p16/Ki-67 testing alone) unnecessary conizations per prevented cancer death. In populations with screening adherence below 40% biennial HPV+cytology cotesting may be performed. Depending on screening adherence rates, the screening interval may be extended to 3 years (40%-60% adherence) or to 5 years (≥ 60% adherence). The age for screening initiation could be extended from 18 to 24 years without significant loss in effectiveness, but with reduced overtreatments.


Conclusion

Based on our benefit-harm analysis, HPV-based screening in women at age 30 years and cytology in younger women at screening intervals of at least 2 years incorporating a risk-based follow-up algorithm can be recommended for the Austrian screening setting.


References