Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Department of Health Management and Health Economics, University of Oslo, Oslo, Norway.
J Med Screen. 2021 Jun;28(2):213-216. doi: 10.1177/09691413211001097. Epub 2021 Mar 17.
To quantify the secondary impacts of the COVID-19 pandemic disruptions to cervical cancer screening in the United States, stratified by step in the screening process and primary test modality, on cervical cancer burden.
We conducted a comparative model-based analysis using three independent NCI Cancer Intervention and Surveillance Modeling Network cervical models to quantify the impact of eight alternative COVID-19-related screening disruption scenarios compared to a scenario of no disruptions. Scenarios varied by the duration of the disruption (6 or 24 months), steps in the screening process being disrupted (primary screening, surveillance, colposcopy, excisional treatment), and primary screening modality (cytology alone or cytology plus human papillomavirus "cotesting").
The models consistently showed that COVID-19-related disruptions yield small net increases in cervical cancer cases by 2027, which are greater for women previously screened with cytology compared with cotesting. When disruptions affected all four steps in the screening process under cytology-based screening, there were an additional 5-7 and 38-45 cases per one million screened for 6- and 24-month disruptions, respectively. In contrast, under cotesting, there were additional 4-5 and 35-45 cases per one million screened for 6- and 24-month disruptions, respectively. The majority (58-79%) of the projected increases in cases under cotesting were due to disruptions to surveillance, colposcopies, or excisional treatment, rather than to primary screening.
Women in need of surveillance, colposcopies, or excisional treatment, or whose last primary screen did not involve human papillomavirus testing, may comprise priority groups for reintroductions.
定量分析美国因 COVID-19 大流行而中断宫颈癌筛查对宫颈癌负担的二级影响,按筛查流程各步骤和主要检测方式进行分层。
我们使用三个独立的 NCI 癌症干预和监测建模网络宫颈模型进行了一项基于模型的比较分析,以量化与无干扰相比,八种不同 COVID-19 相关筛查干扰情景对以下方面的影响:初级筛查、监测、阴道镜检查、切除治疗)和主要筛查方式(细胞学单独或细胞学加人乳头瘤病毒“联合检测”)。
模型一致表明,与 2027 年相比,COVID-19 相关干扰导致宫颈癌病例的净增加很小,以前用细胞学筛查的女性比联合检测的女性更大。当基于细胞学的筛查的所有四个筛查步骤都受到干扰时,在 6 个月和 24 个月的干扰下,每百万筛查增加 5-7 例和 38-45 例。相比之下,在联合检测中,每百万筛查分别增加 4-5 例和 35-45 例。在联合检测下,预计病例增加的大部分(58%-79%)是由于监测、阴道镜检查或切除治疗中断,而不是初级筛查。
需要进行监测、阴道镜检查或切除治疗的女性,或其最近一次初级筛查未涉及人乳头瘤病毒检测的女性,可能是重新引入的优先群体。