Evidence map›Paper›PMID 41607721›Full record

ArticleCJC pediatric and congenital heart disease2025

Effect of the COVID-19 Pandemic on the Epidemiology of Kawasaki Disease in Canada.

Nina Butris, Dominic Gangemi, Pedrom Farid, Sunita O'Shea, Tanveer Collins, Nita Chahal, Rayan Rahman, Vitor Guerra, Brian W McCrindle, Cedric Manlhiot

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in CJC pediatric and congenital heart disease, 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. Kawasaki Disease in Canada: The Impact of the COVID-19 Pandemic.CJC pediatric and congenital heart disease · 2025
    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.

Nina ButrisSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Dominic GangemiSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Pedrom FaridSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Sunita O'SheaSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Tanveer CollinsSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Nita ChahalDivision of Cardiology, Department of Pediatrics, University of Toronto, SickKids Hospital, Toronto, Ontario, Canada.
Rayan RahmanSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Vitor GuerraDivision of Cardiology, Department of Pediatrics, University of Toronto, SickKids Hospital, Toronto, Ontario, Canada.
Brian W McCrindleSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Cedric ManlhiotSickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.

Funding

A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patientsR33HD105591 · NICHD · JOHNS HOPKINS UNIVERSITY · PI BARNES, BENJAMIN, DAHDAH, NAGIB · 2023 to 2023
$3.1M
A data science approach to identify and manage Multisystem Inflammatory Syndrome in Children (MIS-C) associated with SARS-CoV-2 infection and Kawasaki disease in pediatric patientsR61HD105591 · NICHD · JOHNS HOPKINS UNIVERSITY · PI DAHDAH, NAGIB, GIGLIA, THERESE M · 2021 to 2022
$1.7M
NICHD NIH HHS R33 HD105591NICHD NIH HHS R61 HD105591
6 · The paper itself

Abstract

Background: COVID-19 substantially changed the epidemiology of Kawasaki disease (KD), with decreased incidence reported globally. We sought to determine its effect in Canada. Methods: Pediatric admissions for KD (2004-2023) were identified through the Canadian Institute for Health Information. Clinical data for KD hospitalizations at the Hospital for Sick Children in Toronto (2016-June 2023) were manually reviewed. Results: The incidence of KD was stable before the pandemic (22.5 cases/100,000 children aged 0-4 years/year, Conclusions: The pandemic saw a substantial decrease in the incidence of KD with disrupted seasonality. Prepandemic epidemiologic patterns have returned. Patient presentations changed, but outcomes remained stable compared with the prepandemic period.

Indexed as

COVID-19epidemiologyKawasaki disease

Identifiers

PMID41607721
PMCPMC12835972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.