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A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions
We evaluated how temporary disruptions to primary cervical cancer (CC) screening services may differentially impact women due to heterogeneity in their screening history and test modality. We used three CC models to project the short- and long-term health impacts assuming an underlying primary scree...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555861/ https://www.ncbi.nlm.nih.gov/pubmed/36222673 http://dx.doi.org/10.7554/eLife.81711 |
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author | Burger, Emily A de Kok, Inge MCM O'Mahony, James F Rebolj, Matejka Jansen, Erik EL de Bondt, Daniel D Killen, James Hanley, Sharon J Castanon, Alejandra Regan, Mary Caroline Kim, Jane J Canfell, Karen Smith, Megan A |
author_facet | Burger, Emily A de Kok, Inge MCM O'Mahony, James F Rebolj, Matejka Jansen, Erik EL de Bondt, Daniel D Killen, James Hanley, Sharon J Castanon, Alejandra Regan, Mary Caroline Kim, Jane J Canfell, Karen Smith, Megan A |
author_sort | Burger, Emily A |
collection | PubMed |
description | We evaluated how temporary disruptions to primary cervical cancer (CC) screening services may differentially impact women due to heterogeneity in their screening history and test modality. We used three CC models to project the short- and long-term health impacts assuming an underlying primary screening frequency (i.e., 1, 3, 5, or 10 yearly) under three alternative COVID-19-related screening disruption scenarios (i.e., 1-, 2-, or 5-year delay) versus no delay in the context of both cytology-based and human papillomavirus (HPV)-based screening. Models projected a relative increase in symptomatically detected cancer cases during a 1-year delay period that was 38% higher (Policy1-Cervix), 80% higher (Harvard), and 170% higher (MISCAN-Cervix) for underscreened women whose last cytology screen was 5 years prior to the disruption period compared with guidelines-compliant women (i.e., last screen 3 years prior to disruption). Over a woman’s lifetime, temporary COVID-19-related delays had less impact on lifetime risk of developing CC than screening frequency and test modality; however, CC risks increased disproportionately the longer time had elapsed since a woman’s last screen at the time of the disruption. Excess risks for a given delay period were generally lower for HPV-based screeners than for cytology-based screeners. Our independent models predicted that the main drivers of CC risk were screening frequency and screening modality, and the overall impact of disruptions from the pandemic on CC outcomes may be small. However, screening disruptions disproportionately affect underscreened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions. |
format | Online Article Text |
id | pubmed-9555861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-95558612022-10-13 A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions Burger, Emily A de Kok, Inge MCM O'Mahony, James F Rebolj, Matejka Jansen, Erik EL de Bondt, Daniel D Killen, James Hanley, Sharon J Castanon, Alejandra Regan, Mary Caroline Kim, Jane J Canfell, Karen Smith, Megan A eLife Computational and Systems Biology We evaluated how temporary disruptions to primary cervical cancer (CC) screening services may differentially impact women due to heterogeneity in their screening history and test modality. We used three CC models to project the short- and long-term health impacts assuming an underlying primary screening frequency (i.e., 1, 3, 5, or 10 yearly) under three alternative COVID-19-related screening disruption scenarios (i.e., 1-, 2-, or 5-year delay) versus no delay in the context of both cytology-based and human papillomavirus (HPV)-based screening. Models projected a relative increase in symptomatically detected cancer cases during a 1-year delay period that was 38% higher (Policy1-Cervix), 80% higher (Harvard), and 170% higher (MISCAN-Cervix) for underscreened women whose last cytology screen was 5 years prior to the disruption period compared with guidelines-compliant women (i.e., last screen 3 years prior to disruption). Over a woman’s lifetime, temporary COVID-19-related delays had less impact on lifetime risk of developing CC than screening frequency and test modality; however, CC risks increased disproportionately the longer time had elapsed since a woman’s last screen at the time of the disruption. Excess risks for a given delay period were generally lower for HPV-based screeners than for cytology-based screeners. Our independent models predicted that the main drivers of CC risk were screening frequency and screening modality, and the overall impact of disruptions from the pandemic on CC outcomes may be small. However, screening disruptions disproportionately affect underscreened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions. eLife Sciences Publications, Ltd 2022-10-12 /pmc/articles/PMC9555861/ /pubmed/36222673 http://dx.doi.org/10.7554/eLife.81711 Text en © 2022, Burger et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Burger, Emily A de Kok, Inge MCM O'Mahony, James F Rebolj, Matejka Jansen, Erik EL de Bondt, Daniel D Killen, James Hanley, Sharon J Castanon, Alejandra Regan, Mary Caroline Kim, Jane J Canfell, Karen Smith, Megan A A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
title | A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
title_full | A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
title_fullStr | A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
title_full_unstemmed | A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
title_short | A model-based analysis of the health impacts of COVID-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
title_sort | model-based analysis of the health impacts of covid-19 disruptions to primary cervical screening by time since last screen for current and future disruptions |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555861/ https://www.ncbi.nlm.nih.gov/pubmed/36222673 http://dx.doi.org/10.7554/eLife.81711 |
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