Evidence map›Paper›PMID 36254328›Full record

ArticleCJC open2022

Epidemiology of COVID-19 and Its Cardiac and Neurologic Complications Among Chinese and South Asians in Ontario: Waves 1, 2, and 3.

Joseph Y Chu, Gordon W Moe, Manav V Vyas, Robert Chen, Chi-Ming Chow, Milan Gupta, Yosuf Kaliwal, Maria Koh, Dennis T Ko, Peter P Liu

Abstract read
In one paragraph

Article in CJC open, 2022. 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. Article
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.

Joseph Y ChuDivision of Neurology, Department of Medicine, William Osler Health System, Toronto, Ontario, Canada.
Gordon W MoeDivision of Cardiology, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
Manav V VyasDivision of Neurology, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
Robert ChenDivision of Neurology, Department of Medicine, Toronto Western Hospital-University Health Network, Toronto, Ontario, Canada.
Chi-Ming ChowDivision of Cardiology, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
Milan GuptaDivision of Cardiology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Yosuf KaliwalICES, Toronto, Ontario, Canada.
Maria KohICES, Toronto, Ontario, Canada.
Dennis T KoICES, Toronto, Ontario, Canada.
Peter P LiuDivision of Cardiology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although we had previously reported the cardiac and neurologic outcomes of Chinese and South Asian Ontarians in wave 1 of COVID-19, data on subsequent waves of COVID-19 remain unexamined. This is an extension study of this cohort in waves 2 and 3. Methods: We identified adult Ontarians with a positive COVID-19 polymerase chain reaction test from January 1, 2020 to June 30, 2021, and they were classified as being Chinese or South Asian using a validated surname algorithm; we compared their outcomes of mortality, and cardiac and neurologic complications with those of the general population using multivariable logistic regression models. Results: Compared to the general population (n = 439,977), the Chinese population (n = 15,208) was older (mean age 44.2 vs 40.6 years, Conclusions: Ethnicity continues to be an important determinant of mortality, cardiac and neurologic outcomes, and healthcare use among patients with COVID-19, requiring further studies to understand factors driving these differences.

Identifiers

PMID36254328
PMCPMC9568686

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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.