Evidence map›Paper›PMID 35100894›Full record

ArticleJournal of medical screening2022

Prioritisation of colonoscopy services in colorectal cancer screening programmes to minimise impact of COVID-19 pandemic on predicted cancer burden: A comparative modelling study.

Francine van Wifferen, Lucie de Jonge, Joachim Worthington, Marjolein J E Greuter, Jie-Bin Lew, Claude Nadeau, Rosita van den Puttelaar, Eleonora Feletto, Jean H E Yong, Iris Lansdorp-Vogelaar and 3 more

Abstract read
In one paragraph

Article in Journal of medical screening, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Francine van WifferenDecision Modeling Center, Department of Epidemiology and Data Science, 1209Amsterdam University Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-6891-6678
Lucie de JongeDepartment of Public Health, 6993Erasmus University Medical Center, Rotterdam, The Netherlands.
Joachim WorthingtonThe Daffodil Centre, 4334The University of Sydney, A Joint Venture With Cancer Council NSW, Sydney, Australia.
Marjolein J E GreuterDecision Modeling Center, Department of Epidemiology and Data Science, 1209Amsterdam University Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-6151-3382
Jie-Bin LewThe Daffodil Centre, 4334The University of Sydney, A Joint Venture With Cancer Council NSW, Sydney, Australia.
Claude NadeauHealth Analysis Division, 6360Statistics Canada, Ottawa, Canada.
Rosita van den PuttelaarDepartment of Public Health, 6993Erasmus University Medical Center, Rotterdam, The Netherlands.
Eleonora FelettoThe Daffodil Centre, 4334The University of Sydney, A Joint Venture With Cancer Council NSW, Sydney, Australia.
Jean H E Yong137691Canadian Partnership against Cancer, Toronto, Canada.
Iris Lansdorp-VogelaarDepartment of Public Health, 6993Erasmus University Medical Center, Rotterdam, The Netherlands.
Karen CanfellThe Daffodil Centre, 4334The University of Sydney, A Joint Venture With Cancer Council NSW, Sydney, Australia.
Veerle M H CoupéDecision Modeling Center, Department of Epidemiology and Data Science, 1209Amsterdam University Medical Center, Amsterdam, The Netherlands.
COVID-19 and Cancer Global Modelling Consortium (CCGMC) working group 2

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesColorectal cancer (CRC) screening with a faecal immunochemical test (FIT) has been disrupted in many countries during the COVID-19 pandemic. Performing catch-up of missed screens while maintaining regular screening services requires additional colonoscopy capacity that may not be available. This study aimed to compare strategies that clear the screening backlog using limited colonoscopy resources.

methodsA range of strategies were simulated using four country-specific CRC natural-history models: Adenoma and Serrated pathway to Colorectal CAncer (ASCCA) and MIcrosimulation SCreening ANalysis for CRC (MISCAN-Colon) (both in the Netherlands), Policy1-Bowel (Australia) and OncoSim (Canada). Strategies assumed a 3-month screening disruption with varying recovery period lengths (6, 12, and 24 months) and varying FIT thresholds for diagnostic colonoscopy. Increasing the FIT threshold reduces the number of referrals to diagnostic colonoscopy. Outcomes for each strategy were colonoscopy demand and excess CRC-related deaths due to the disruption.

resultsPerforming catch-up using the regular FIT threshold in 6, 12 and 24 months could prevent most excess CRC-related deaths, but required 50%, 25% and 12.5% additional colonoscopy demand, respectively. Without exceeding usual colonoscopy demand, up to 60% of excess CRC-related deaths can be prevented by increasing the FIT threshold for 12 or 24 months. Large increases in FIT threshold could lead to additional deaths rather than preventing them.

conclusionsClearing the screening backlog in 24 months could avert most excess CRC-related deaths due to a 3-month disruption but would require a small increase in colonoscopy demand. Increasing the FIT threshold slightly over 24 months could ease the pressure on colonoscopy resources.

Indexed as

Colorectal NeoplasmsCOVID-19ColonoscopyEarly Detection of CancerFecesHumansMass ScreeningOccult BloodPandemicsColonoscopyColorectal cancerCOVID-19FITScreening

Identifiers

PMID35100894
PMCPMC9087314

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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.