Evidence map›Paper›PMID 36321960›Full record

ArticleJournal of the National Cancer Institute2023

Factors associated with timely COVID-19 vaccination in a population-based cohort of patients with cancer.

Melanie Powis, Rinku Sutradhar, Aditi Patrikar, Matthew Cheung, Inna Gong, Abi Vijenthira, Lisa K Hicks, Drew Wilton, Monika K Krzyzanowska, Simron Singh

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

10 authors.

Melanie PowisCancer Quality Lab (CQuaL), Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada.ORCID 0000-0001-6038-0701
Rinku SutradharInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.
Aditi PatrikarInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.
Matthew CheungInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.
Inna GongDivision of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
Abi VijenthiraDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada.
Lisa K HicksDivision of Medical Oncology and Hematology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
Drew WiltonInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.
Monika K KrzyzanowskaCancer Quality Lab (CQuaL), Princess Margaret Cancer Centre-University Health Network, Toronto, ON, Canada.
Simron SinghInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.

Funding

CIHR
6 · The paper itself

Abstract

backgroundIn many jurisdictions, cancer patients were prioritized for COVID-19 vaccination because of increased risk of infection and death. To understand sociodemographic disparities that affected timely receipt of COVID-19 vaccination among cancer patients, we undertook a population-based study in Ontario, Canada.

methodsPatients older than 18 years and diagnosed with cancer January 2010 to September 2020 were identified using administrative data; vaccination administration was captured between approval (December 2020) up to February 2022. Factors associated with time to vaccination were evaluated using multivariable Cox proportional hazards regression.

resultsThe cohort consisted of 356 535 patients, the majority of whom had solid tumor cancers (85.9%) and were not on active treatment (74.1%); 86.8% had received at least 2 doses. The rate of vaccination was 25% lower in recent (hazard ratio [HR] = 0.74, 95% confidence interval [CI] = 0.72 to 0.76) and nonrecent immigrants (HR = 0.80, 95% CI = 0.79 to 0.81). A greater proportion of unvaccinated patients were from neighborhoods with a high concentration of new immigrants or self-reported members of racialized groups (26.0% vs 21.3%, standardized difference = 0.111, P < .001), residential instability (27.1% vs 23.0%, standardized difference = 0.094, P < .001), or material deprivation (22.1% vs 16.8%, standardized difference = 0.134, P < .001) and low socioeconomic status (20.9% vs 16.0%, standardized difference = 0.041, P < .001). The rate of vaccination was 20% lower in patients from neighborhoods with the lowest socioeconomic status (HR = 0.82, 95% CI = 0.81 to 0.84) and highest material deprivation (HR = 0.80, 95% CI = 0.78 to 0.81) relative to those in more advantaged neighborhoods.

conclusionsDespite funding of vaccines and prioritization of high-risk populations, marginalized patients were less likely to be vaccinated. Differences are likely due to the interplay between systemic barriers to access and cultural or social influences affecting uptake.

Indexed as

COVID-19NeoplasmsCOVID-19 VaccinesHumansOntarioVaccinationCOVID-19 Vaccines

Identifiers

PMID36321960
PMCPMC9905967

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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.