ArticleCancer medicine2023
Early survival for patients newly diagnosed with cancer during COVID-19 in Ontario, Canada: A population-based cohort study.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- The global impact of the COVID-19 pandemic on delays and disruptions in cancer care services: a systematic review and meta-analysis.Nature cancer · 2025Pooled it
- Developing an expert consensus statement on emergency preparedness for cancer care delivery in Canada: a modified Delphi study.Archives of public health = Archives belges de sante publique · 2026Article
- COVID-related delays in non-urgent adult surgeries: comparing population-based results from two Canadian provinces.Frontiers in surgery · 2025Article
- Measuring the impact of COVID-19 on cancer survival using an interrupted time series analysis.JNCI cancer spectrum · 2024Article
- COVID-19 pandemic impact on the potential exacerbation of screening mammography disparities: A population-based study in Ontario, Canada.Preventive medicine reports · 2024Article
- Prioritizing Melanoma Surgeries to Prevent Wait Time Delays and Upstaging of Melanoma during the COVID-19 Pandemic.Current oncology (Toronto, Ont.) · 2023Article
- Early survival for patients newly diagnosed with cancer during COVID-19 in Ontario, Canada: A population-based cohort study.Cancer medicine · 2023Article
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Authors and funding
24 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLittle is known about the association between the COVID-19 pandemic and early survival among newly diagnosed cancer patients.
methodsThis retrospective population-based cohort study used linked administrative datasets from Ontario, Canada. Adults (≥18 years) who received a cancer diagnosis between March 15 and December 31, 2020, were included in a pandemic cohort, while those diagnosed during the same dates in 2018/2019 were included in a pre-pandemic cohort. All patients were followed for one full year after the date of diagnosis. Cox proportional hazards regression models were used to assess survival in relation to the pandemic, patient characteristics at diagnosis, and the modality of first cancer treatment as a time-varying covariate. Interaction terms were explored to measure the pandemic association with survival for each cancer type.
resultsAmong 179,746 patients, 53,387 (29.7%) were in the pandemic cohort and 37,741 (21.0%) died over the first post-diagnosis year. No association between the pandemic and survival was found when adjusting for patient characteristics at diagnosis (HR 0.99 [95% CI 0.96-1.01]), while marginally better survival was found for the pandemic cohort when the modality of treatment was additionally considered (HR 0.97 [95% CI 0.95-0.99]). When examining each cancer type, only a new melanoma diagnosis was associated with a worse survival in the pandemic cohort (HR 1.25 [95% CI 1.05-1.49]).
conclusionsAmong patients able to receive a cancer diagnosis during the pandemic, one-year overall survival was not different than those diagnosed in the previous 2 years. This study highlights the complex nature of the COVID-19 pandemic impact on cancer care.
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