Evidence map›Paper›PMID 34217412›Full record

ArticlePreventive medicine2021

The impact of the Covid-19 pandemic on breast cancer early detection and screening.

Breast Screening Working Group (WG2) of the Covid-19 and Cancer Global Modelling Consortium, Jonine D Figueroa, Ewan Gray, Nora Pashayan, Silvia Deandrea, Andre Karch, Diama Bhadra Vale, Kenneth Elder, Pietro Procopio, Nicolien T van Ravesteyn and 3 more

Open access · greenAbstract 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 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
11.0field-weighted citation impact, top 1% of its field
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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

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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

13 authors at 11 institutions in 7 countries.

Breast Screening Working Group (WG2) of the Covid-19 and Cancer Global Modelling Consortium
Jonine D FigueroaUsher Institute, University of Edinburgh, UK; Institute of Genetics and Cancer, Cancer Research UK Edinburgh Centre, UK. Electronic address: Jonine.figueroa@ed.ac.uk.
Ewan GrayInstitute of Genetics and Cancer, Cancer Research UK Edinburgh Centre, UK.
Nora PashayanDepartment of Applied Health Research, Institute of Epidemiology and Healthcare, University College London, London, UK.
Silvia DeandreaDirectorate General for Health, Lombardy Region, Milano, Italy.
Andre KarchInstitute of Epidemiology and Social Medicine, University of Münster, Germany.
Diama Bhadra ValeDepartment of Obstetrics and Gynecology, University of Campinas, Campinas, Brazil.
Kenneth ElderNHS Lothian, Edinburgh, UK.
Pietro ProcopioThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, Australia; University of Melbourne, Australia.
Nicolien T van RavesteynDepartment of Public Health, Erasmus MC University Medical Center Rotterdam, the Netherlands.
Miriam MutabiAga Khan University, Nairobi, Kenya.
Karen CanfellThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, Australia.
Carolyn NicksonThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, Australia; University of Melbourne, Australia.
Cancer Council NSW · AUAga Khan University Nairobi · KEEdinburgh Cancer Research · GBErasmus MC · NLNHS Lothian · GBRegione LombardiaUniversidade Estadual de Campinas (UNICAMP) · BRUniversity College London · GBUniversity of Edinburgh · GBUniversity of Münster · DEUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic affects mortality and morbidity, with disruptions expected to continue for some time, with access to timely cancer-related services a concern. For breast cancer, early detection and treatment is key to improved survival and longer-term quality of life. Health services generally have been strained and in many settings with population breast mammography screening, efforts to diagnose and treat breast cancers earlier have been paused or have had reduced capacity. The resulting delays to diagnosis and treatment may lead to more intensive treatment requirements and, potentially, increased mortality. Modelled evaluations can support responses to the pandemic by estimating short- and long-term outcomes for various scenarios. Multiple calibrated and validated models exist for breast cancer screening, and some have been applied in 2020 to estimate the impact of breast screening disruptions and compare options for recovery, in a range of international settings. On behalf of the Covid and Cancer Modelling Consortium (CCGMC) Working Group 2 (Breast Cancer), we summarize and provide examples of such in a range of settings internationally, and propose priorities for future modelling exercises. International expert collaborations from the CCGMC Working Group 2 (Breast Cancer) will conduct analyses and modelling studies needed to inform key stakeholders recovery efforts in order to mitigate the impact of the pandemic on early diagnosis and treatment of breast cancer.

Indexed as

Breast NeoplasmsCOVID-19Early Detection of CancerFemaleHumansMass ScreeningPandemicsQuality of LifeSARS-CoV-2BreastCOVID-19IncidenceModellingMortalityScreening

Identifiers

PMID34217412
PMCPMC8241687
OpenAlexW3181407611

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.