Evidence map›Paper›PMID 35750706›Full record

ArticleScientific reports2022

Clinical risk, sociodemographic factors, and SARS-CoV-2 infection over time in Ontario, Canada.

Jacob A Udell, Bahar Behrouzi, Atul Sivaswamy, Anna Chu, Laura E Ferreira-Legere, Jiming Fang, Shaun G Goodman, Justin A Ezekowitz, Kevin R Bainey, Sean van Diepen and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Associations between obstructive sleep apnea and COVID-19 infection and hospitalization among US adults.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
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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

19 authors.

Jacob A UdellICES, Toronto, Canada. jay.udell@utoronto.ca.
Bahar BehrouziICES, Toronto, Canada.
Atul SivaswamyICES, Toronto, Canada.
Anna ChuICES, Toronto, Canada.
Laura E Ferreira-LegereICES, Toronto, Canada.
Jiming FangICES, Toronto, Canada.
Shaun G GoodmanDepartment of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Justin A EzekowitzCanadian VIGOUR Centre, University of Alberta, Edmonton, Canada.ORCID 0000-0002-2724-4086
Kevin R BaineyCanadian VIGOUR Centre, University of Alberta, Edmonton, Canada.
Sean van DiepenCanadian VIGOUR Centre, University of Alberta, Edmonton, Canada.
Padma KaulCanadian VIGOUR Centre, University of Alberta, Edmonton, Canada.
Finlay A McAlisterCanadian VIGOUR Centre, University of Alberta, Edmonton, Canada.
Isaac I BogochDepartment of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Cynthia A JackeviciusICES, Toronto, Canada.
Husam Abdel-QadirICES, Toronto, Canada.
Harindra C WijeysunderaICES, Toronto, Canada.
Dennis T KoICES, Toronto, Canada.
Peter C AustinICES, Toronto, Canada.
Douglas S LeeICES, Toronto, Canada.

Funding

CIHR MYG-151211CIHR VR4-172736
6 · The paper itself

Abstract

We aimed to determine whether early public health interventions in 2020 mitigated the association of sociodemographic and clinical risk factors with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We conducted a population-based cohort study of all adults in Ontario, Canada who underwent testing for SARS-CoV-2 through December 31, 2020. The outcome was laboratory-confirmed SARS-CoV-2 infection, determined by reverse transcription polymerase chain reaction testing. Adjusted odds ratios (ORs) were determined for sociodemographic and clinical risk factors before and after the first-wave peak of the pandemic to assess for changes in effect sizes. Among 3,167,753 community-dwelling individuals, 142,814 (4.5%) tested positive. The association between age and SARS-CoV-2 infection risk varied over time (P-interaction < 0.0001). Prior to the first-wave peak, SARS-CoV-2 infection increased with age whereas this association reversed thereafter. Risk factors that persisted included male sex, residing in lower income neighborhoods, residing in more racially/ethnically diverse communities, immigration to Canada, hypertension, and diabetes. While there was a reduction in infection rates after mid-April 2020, there was less impact in regions with higher racial/ethnic diversity. Immediately following the initial peak, individuals living in the most racially/ethnically diverse communities with 2, 3, or ≥ 4 risk factors had ORs of 1.89, 3.07, and 4.73-fold higher for SARS-CoV-2 infection compared to lower risk individuals in their community (all P < 0.0001). In the latter half of 2020, this disparity persisted with corresponding ORs of 1.66, 2.48, and 3.70-fold higher, respectively. In the least racially/ethnically diverse communities, there was little/no gradient in infection rates across risk strata. Further efforts are necessary to reduce the risk of SARS-CoV-2 infection among the highest risk individuals residing in the most racially/ethnically diverse communities.

Indexed as

COVID-19AdultCohort StudiesHumansMaleOntarioRisk FactorsSARS-CoV-2Sociodemographic Factors

Identifiers

PMID35750706
PMCPMC9232511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.