Evidence map›Paper›PMID 40115813›Full record

ArticlePreventive medicine reports2025

Modelling the impact of the COVID-19 pandemic on cancer stage migration and excess mortality in Ireland.

Mengyang Zhang, Paula Tierney, Aline Brennan, Deirdre Murray, Maeve Mullooly, Kathleen Bennett

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Data resource profile: National Cancer Registry Ireland.ESMO real world data and digital oncology · 2026
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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

6 authors.

Mengyang ZhangSchool of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Paula TierneyNational Cancer Registry in Ireland, Cork, Ireland.
Aline BrennanNational Cancer Registry in Ireland, Cork, Ireland.
Deirdre MurrayNational Cancer Registry in Ireland, Cork, Ireland.
Maeve MulloolySchool of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Kathleen BennettSchool of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer treatment services were interrupted during the pandemic, which potentially increased the time to treatment initiation (TTI). This study aimed to model the impact of a hypothetical three- and six-month delay in TTI on stage of breast cancer and non-small cell lung cancer (NSCLC) in Ireland. Methods: The distribution of cancer stage at diagnosis, net survival at one to five years post diagnosis, and projected cancer incidence for 2020 were obtained for breast cancer and NSCLC, from the National Cancer Registry Ireland. The primary outcome, the probability of an upward stage-shift from stage I to II and stage II to III, is presented with 95 % CIs. Results: For breast cancer, the stage-shift probability after a hypothetical three-month and six-month delay was 0.13 (0.11, 0.15) and 0.25 (0.21, 0.27) in stage I and 0.09 (0.08, 0.11) and 0.17 (0.14, 0.21) in stage II. For NSCLC, the stage-shift probability after three-month and six-month delays was 0.51 (0.49, 0.53) and 0.76 (0.74, 0.78) in stage I and 0.27 (0.24, 0.30) and 0.47 (0.43, 0.51) in stage II. Conclusions: The study provides potential evidence for an upward stage migration in those with breast cancer and NSCLC due to the pandemic. It is important to determine the longer-term impacts so that strategies are developed to mitigate adverse effects and improve health system preparedness for future unprecedented events.

Indexed as

cancerCOVID-19PandemicStage migration

Identifiers

PMID40115813
PMCPMC11924935

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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.