Evidence map›Paper›PMID 35923317›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Health impacts of COVID-19 disruptions to primary cervical screening by time since last screen: A model-based analysis for current and future disruptions.

Emily A Burger, Inge M C M de Kok, James F O'Mahony, Matejka Rebolj, Erik E L Jansen, Daniel D de Bondt, James Killen, Sharon J Hanley, Alejandra Castanon, Jane J Kim and 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 6 countries.

Emily A BurgerDepartment of Health Management and Health Economics, University of Oslo, Oslo, Norway.
Inge M C M de KokDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
James F O'MahonyCentre for Health Policy & Management, School of Medicine, Trinity College Dublin, Dublin, Ireland.
Matejka ReboljKing's College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London, United Kingdom.
Erik E L JansenDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Daniel D de BondtDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
James KillenCancer Research Division, Cancer Council NSW, Sydney, Australia.
Sharon J HanleyDepartment of Obstetrics and Gynaecology, Hokkaido University, Sapporo, Japan.
Alejandra CastanonKing's College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London, United Kingdom.
Jane J KimHarvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA.
Karen CanfellDaffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.
Megan A SmithDaffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.
Mary Caroline ReganHarvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA.
Erasmus MC · NLKing's College London · GBThe University of Sydney · AUHokkaido University · JPTrinity College Dublin · IEUniversity of Oslo · NO

Funding

Comparative Modeling to Inform Cervical Cancer Control PoliciesU01CA199334 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2015 to 2019
$6.4M
Cancer Research UK 27047NCI NIH HHS U01 CA199334
6 · The paper itself

Abstract

Background: 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. Methods: 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 HPV-based screening. Results: 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 under-screened women whose last cytology screen was 5 years prior to the disruption period compared with guidelines-compliant women (i.e., last screen three 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. Conclusions: 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 under-screened women, underpinning the importance of reaching such women as a critical area of focus, regardless of temporary disruptions. Funding: This study was supported by funding from the National Cancer Institute (U01CA199334). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute. Megan A Smith receives salary support from the National Health and Medical Research Council, Australia (APP1159491) and Cancer Institute NSW (ECF181561). Matejka Rebolj is funded by Cancer Research UK (reference: C8162/A27047). James O'Mahony is funded by Ireland's Health Research Board (EIA2017054). Karen Canfell receives salary support from the National Health and Medical Research Council, Australia (APP1194679). Emily A. Burger receives salary support from the Norwegian Cancer Society.

Identifiers

PMID35923317
PMCPMC9347288
OpenAlexW4287877991

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.