Evidence map›Paper›PMID 33567163›Full record

ArticleAsia-Pacific journal of clinical oncology2021

An inverse stage-shift model to estimate the excess mortality and health economic impact of delayed access to cancer services due to the COVID-19 pandemic.

Koen Degeling, Nancy N Baxter, Jon Emery, Mark A Jenkins, Fanny Franchini, Peter Gibbs, G Bruce Mann, Grant McArthur, Benjamin J Solomon, Maarten J IJzerman

Abstract read
In one paragraph

Article in Asia-Pacific journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 4 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

58 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  8. Disparities in Cancer Stage Shifts Associated with the COVID-19 Pandemic in California, 2020 to 2021.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

10 authors.

Koen DegelingCentre for Cancer Research and Centre for Health Policy, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7487-2491
Nancy N BaxterMelbourne School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-4793-4620
Jon EmeryCentre for Cancer Research and Department of General Practice, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-5274-6336
Mark A JenkinsCentre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-8964-6160
Fanny FranchiniCentre for Cancer Research and Centre for Health Policy, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-4522-3385
Peter GibbsDivision of Personalised Oncology, Walter and Eliza Hall Research Institute, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1423-4484
G Bruce MannDepartment of Surgery, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-2508-9203
Grant McArthurSir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-8908-6071
Benjamin J SolomonSir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.
Maarten J IJzermanCentre for Cancer Research and Centre for Health Policy, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-5788-5805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDecreased cancer incidence and reported changes to clinical management indicate that the COVID-19 pandemic has delayed cancer diagnosis and treatment. This study aimed to develop and apply a flexible model to estimate the impact of delayed diagnosis and treatment on survival outcomes and healthcare costs based on a shift in the disease stage at treatment initiation.

methodsA model was developed and made publicly available to estimate population-level health economic outcomes by extrapolating and weighing stage-specific outcomes by the distribution of stages at treatment initiation. It was applied to estimate the impact of 3- and 6-month delays based on Australian data for stage I breast cancer, colorectal cancer, and lung cancer patients, and for T1 melanoma. Two approaches were explored to estimate stage shifts following a delay: (a) based on the relation between time to treatment initiation and overall survival (breast, colorectal, and lung cancer), and (b) based on the tumor growth rate (melanoma).

resultsUsing a conservative once-off 3-month delay and considering only shifts from stage I/T1 to stage II/T2, 88 excess deaths and $12 million excess healthcare costs were predicted in Australia over 5 years for all patients diagnosed in 2020. For a 6-month delay, excess mortality and healthcare costs were 349 deaths and $46 million over 5 years.

conclusionsThe health and economic impacts of delays in treatment initiation cause an imminent policy concern. More accurate individual patient data on shifts in stage of disease during and after the COVID-19 pandemic are critical for further analyses.

Indexed as

Breast NeoplasmsColorectal NeoplasmsCOVID-19Lung NeoplasmsAustraliaFemaleHumansPandemicsSARS-CoV-2COVID-19diagnostic delayseconomic outcomeshealth outcomesmodelingoncologystage shifttime to treatment initiationtreatment delays

Identifiers

PMID33567163
PMCPMC8014813

What OpenQuestion holds

Textmetadata
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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.