Evidence map›Paper›PMID 34029578›Full record

ArticlePreventive medicine2021

Impact of disruptions and recovery for established cervical screening programs across a range of high-income country program designs, using COVID-19 as an example: A modelled analysis.

Megan A Smith, Emily A Burger, Alejandra Castanon, Inge M C M de Kok, Sharon J B Hanley, Matejka Rebolj, Michaela T Hall, Erik E L Jansen, James Killen, Xavier O'Farrell and 2 more

Abstract read
In one paragraph

Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
–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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  17. Evaluating and Improving Cancer Screening Process Quality in a Multilevel Context: The PROSPR II Consortium Design and Research Agenda.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Megan A SmithDaffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia. Electronic address: megan.smith@nswcc.org.au.
Emily A BurgerHarvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA; Department of Health Management and Health Economics, University of Oslo, Oslo, Norway. Electronic address: eburger@hsph.harvard.edu.
Alejandra CastanonKing's College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London, United Kingdom. Electronic address: alejandra.castanon@kcl.ac.uk.
Inge M C M de KokDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. Electronic address: i.dekok@erasmusmc.nl.
Sharon J B HanleyDepartment of Obstetrics and Gynaecology, Hokkaido University, Sapporo, Japan. Electronic address: sjbh1810@med.hokudai.ac.jp.
Matejka ReboljKing's College London, Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, London, United Kingdom. Electronic address: matejka.rebolj@kcl.ac.uk.
Michaela T HallDaffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia; School of Mathematics and Statistics, UNSW, Sydney, Australia. Electronic address: Michaela.Hall@nswcc.org.au.
Erik E L JansenDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. Electronic address: e.e.l.jansen@erasmusmc.nl.
James KillenDaffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia. Electronic address: James.Killen@nswcc.org.au.
Xavier O'FarrellDaffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia. Electronic address: Xavier.OFarrell@nswcc.org.au.
Jane J KimHarvard T.H. Chan School of Public Health, Center for Health Decision Science, Boston, MA, USA. Electronic address: jkim@hsph.harvard.edu.
Karen CanfellDaffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia. Electronic address: karen.canfell@nswcc.org.au.

Funding

Comparative Modeling to Inform Cervical Cancer Control Policies: USPSTF SupplementU01CA253912 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2020 to 2024
$7.9M
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 CA199334NCI NIH HHS U01 CA253912
6 · The paper itself

Abstract

COVID-19 has disrupted cervical screening in several countries, due to a range of policy-, health-service and participant-related factors. Using three well-established models of cervical cancer natural history adapted to simulate screening across four countries, we compared the impact of a range of standardised screening disruption scenarios in four countries that vary in their cervical cancer prevention programs. All scenarios assumed a 6- or 12-month disruption followed by a rapid catch-up of missed screens. Cervical screening disruptions could increase cervical cancer cases by up to 5-6%. In all settings, more than 60% of the excess cancer burden due to disruptions are likely to have occurred in women aged less than 50 years in 2020, including settings where women in their 30s have previously been offered HPV vaccination. Approximately 15-30% of cancers predicted to result from disruptions could be prevented by maintaining colposcopy and precancer treatment services during any disruption period. Disruptions to primary screening had greater adverse effects in situations where women due to attend for screening in 2020 had cytology (vs. HPV) as their previous primary test. Rapid catch-up would dramatically increase demand for HPV tests in 2021, which it may not be feasible to meet because of competing demands on the testing machines and reagents due to COVID tests. These findings can inform future prioritisation strategies for catch-up that balance potential constraints on resourcing with clinical need.

Indexed as

COVID-19Papillomavirus InfectionsUterine Cervical NeoplasmsEarly Detection of CancerFemaleHumansMass ScreeningSARS-CoV-2Cancer screeningCervical cancerCervical screeningCoronavirusCOVID-19Modelling

Identifiers

PMID34029578
PMCPMC9433770

What OpenQuestion holds

Textmetadata
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.