在加拿大安大略省部分接种疫苗的人群中优化子宫颈筛查的危害和益处:一项模型研究

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Daniël D de Bondt, Erik E L Jansen, Christine Stogios, Bronwen R McCurdy, Rachel Kupets, Joan Murphy, Dustin Costescu, Linda Rabeneck, Rebecca Truscott, Jan A C Hontelez, Inge M C M de Kok
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引用次数: 0

摘要

在加拿大安大略省,第一批在学校接种人乳头瘤病毒(HPV)疫苗的人群现在有资格进行宫颈筛查。我们确定了这些人群的筛查策略将导致筛查的最佳危害-收益比。方法采用STDSIM- miscan -宫颈混合微观模拟模型,确定309种不同的原发性HPV筛查策略的危害和预防癌症,这些策略因筛查年龄和分诊方法而异。此外,我们还进行了非分层(即统一筛选方案)和分层(即按疫苗接种状况筛选方案)分析。造成的危害被量化为原发性hpv筛查和阴道镜转诊数量的加权组合,比例为1:10。在安大略省未接种疫苗的队列中,根据目前筛查建议的估计比率,设定了每一种预防癌症所引起的危害-益处可接受阈值。结果在未分层的情况下,5个终生筛选HPV16/18基因分型是最优的。对于分层情景,最佳情景是接种者进行3次HPV16/18/31/33/45/52/58基因分型的终生筛查,而未接种者进行6次HPV16/18基因分型的终生筛查。结论我们确定了安大略省未来几十年的最佳子宫颈筛查策略。为了保持筛查的最佳危害-收益平衡,安大略省子宫颈筛查计划可以在未来调整筛查建议,以减少终身筛查的数量并延长筛查间隔,以考虑接种疫苗的人群。按疫苗接种状况分层筛查可以进一步改善个体水平上的这种平衡。如果子宫颈筛查建议在未来更新为不那么密集的方案,那么作为安大略省学校计划的一部分,接种HPV疫苗的人群可能会获得更好的危害-收益平衡。这适用于整个队列(即,无分层筛查)以及这些队列中接种疫苗和未接种疫苗的个体。代替使用成本效益阈值,可以通过使用基于现有政策的替代危害-效益措施计算可接受阈值来确定最佳筛选方案。使用单变量危害测量,如每1000人进行原发性HPV筛查测试或阴道镜检查,可能会在优化子宫颈筛查计划方面产生偏差。或者,将初级筛查和阴道镜检查结合起来可以提供更准确的危害测量,并产生最佳策略,更好地平衡危害和益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing the Harms and Benefits of Cervical Screening in a Partially Vaccinated Population in Ontario, Canada: A Modeling Study.

ObjectivesIn Ontario, Canada, the first cohorts who were offered school-based human papillomavirus (HPV) vaccination are now eligible for cervical screening. We determined which screening strategies for these populations would result in optimal harms-benefits ratios of screening.MethodsWe used the hybrid microsimulation model STDSIM- MISCAN-Cervix to determine the harms and cancers prevented of 309 different primary HPV screening strategies, varying by screening ages and triage methods. In addition, we performed an unstratified (i.e., uniform screening protocols) and stratified (i.e., screening protocols by vaccination status) analysis. Harms induced were quantified as a weighted combination of the number of primary HPV-based screens and colposcopy referrals at 1:10. A harms-benefit acceptability threshold of number of harms induced for each cancer prevented was set at the estimated ratio under current screening recommendations in unvaccinated cohorts in Ontario.ResultsFor the unstratified scenario, 5 lifetime screens with HPV16/18 genotyping was optimal. For the stratified scenario, the optimal scenario was 3 lifetime screens with HPV16/18/31/33/45/52/58 genotyping for vaccinated individuals versus 6 lifetime screens with HPV16/18 genotyping for unvaccinated individuals.ConclusionsWe determined the optimal cervical screening strategy in Ontario over the next decades. To maintain an optimal harms-benefits balance of screening, the Ontario Cervical Screening Program could adjust screening recommendations in the future to reduce the number of lifetime screens and extend screening intervals to account for vaccinated cohorts. Stratified screening by vaccination status could further improve this balance on an individual level.HighlightsPeople in cohorts who were offered HPV vaccination as part of Ontario's school-based program may achieve a better harms-benefits balance if cervical screening recommendations are updated to a less intensive protocol in future. This holds for the cohorts as a whole (i.e., unstratified screening) as well as for both vaccinated and unvaccinated individuals in these cohorts.Instead of using a cost-effectiveness threshold, it is possible to determine optimal screening protocols by calculating an acceptability threshold using alternative harms-benefits measures based on existing policy.Using univariate harms measures such as primary HPV screening tests or colposcopies per 1,000 people can yield biases in optimizing cervical screening programs. Alternatively, combining both primary screens and colposcopy referrals could provide a more accurate harms measure and result in optimal strategies with a better balance between harms and benefits.

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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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