Evidence map›Paper›PMID 40832568›Full record

ArticleJTO clinical and research reports2025

Impact of the COVID-19 Pandemic on Diagnosis and Multidisciplinary Treatment of NSCLC in Ontario, Canada.

Kirstin Perdrizet, Lisa W Le, Anthea Lau, Xiaochen Tai, Mary R Rabey, Jennifer H Law, Donna Maziak, Natasha Leighl

Abstract read
In one paragraph

Article in JTO clinical and research reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Kirstin PerdrizetDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Lisa W LeDepartment of Biostatistics, University Health Network, Toronto, Ontario, Canada.
Anthea LauDivision of Medical Oncology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
Xiaochen TaiCancer Care Ontario, Toronto, Ontario, Canada.
Mary R RabeyDivision of Medical Oncology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
Jennifer H LawDivision of Medical Oncology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
Donna MaziakUniversity of Ottawa, The Ottawa Hospital, Ottawa, Ontario, Canada.
Natasha LeighlDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The coronavirus disease 2019 pandemic disrupted cancer care delivery globally, with many jurisdictions reporting reductions in lung cancer diagnoses and delays in treatment. In Ontario, Canada, both institutional and provincial data have reported mixed trends in NSCLC presentation and care. This study aimed to assess the short-term impact of the coronavirus disease 2019 pandemic on NSCLC diagnoses and treatment pathways across Ontario using population-level data from Cancer Care Ontario administrative health databases. Methods: We conducted a retrospective cohort study of patients diagnosed with NSCLC in Ontario between January 1, 2019 and December 31, 2020. The cohort was created using relevant diagnostic codes and linked provincial databases to evaluate diagnostic trends and access to surgical, medical, and radiation oncology services. Statistical analyses included Poisson regression to assess changes in diagnosis rates and multivariable linear regressions to evaluate wait times, adjusting for age, sex, income quintile, and geographic region. Results: A total of 13,407 NSCLC cases were identified. There was a 6% overall decline in diagnoses in 2020, with a 31% drop during quarter 2 (April-June 2020). The mean wait times for surgical consultation and treatment and also medical and radiation oncology consults improved or remained stable. No delays were found in systemic therapy initiation. Multivariable analyses confirmed these findings. Conclusions: NSCLC care delivery in Ontario remained stable during the early pandemic period. Declines in diagnosis warrant further investigation using longer-term data. Real-time data systems are essential for future pandemic preparedness and response.

Indexed as

COVID-19 pandemicEpidemiologyNon–small cell lung cancerPandemic response

Identifiers

PMID40832568
PMCPMC12358950

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.