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COVID-19 大流行期间的宫颈癌筛查:优化恢复策略。

Cervical screening during the COVID-19 pandemic: optimising recovery strategies.

机构信息

Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK.

出版信息

Lancet Public Health. 2021 Jul;6(7):e522-e527. doi: 10.1016/S2468-2667(21)00078-5. Epub 2021 Apr 30.

Abstract

Disruptions to cancer screening services have been experienced in most settings as a consequence of the COVID-19 pandemic. Ideally, programmes would resolve backlogs by temporarily expanding capacity; however, in practice, this is often not possible. We aim to inform the deliberations of decision makers in high-income settings regarding their cervical cancer screening policy response. We caution against performance measures that rely solely on restoring testing volumes to pre-pandemic levels because they will be less effective at mitigating excess cancer diagnoses than will targeted measures. These measures might exacerbate pre-existing inequalities in accessing cervical screening by disregarding the risk profile of the individuals attending. Modelling of cervical screening outcomes before and during the pandemic supports risk-based strategies as the most effective way for screening services to recover. The degree to which screening is organised will determine the feasibility of deploying some risk-based strategies, but implementation of age-based risk stratification should be universally feasible.

摘要

由于 COVID-19 大流行,大多数情况下癌症筛查服务都受到了干扰。理想情况下,计划会通过临时扩大能力来解决积压问题;然而,实际上,这通常是不可能的。我们旨在为高收入国家决策者制定宫颈癌筛查政策提供参考。我们警告不要仅依赖于将检测量恢复到大流行前水平的绩效指标,因为与有针对性的措施相比,它们在减轻癌症诊断过剩方面的效果较差。这些措施可能会通过忽视参加者的风险状况,加剧在获得宫颈癌筛查方面已经存在的不平等现象。大流行前后宫颈癌筛查结果的建模支持基于风险的策略,这是筛查服务恢复的最有效方式。筛查的组织程度将决定部署某些基于风险的策略的可行性,但基于年龄的风险分层的实施应该是普遍可行的。

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Cervical screening during the COVID-19 pandemic: optimising recovery strategies.COVID-19 大流行期间的宫颈癌筛查:优化恢复策略。
Lancet Public Health. 2021 Jul;6(7):e522-e527. doi: 10.1016/S2468-2667(21)00078-5. Epub 2021 Apr 30.

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