Evidence map›Paper›PMID 35451805›Full record

ArticleCJEM2022

Correction to: Treatments, resource utilization, and outcomes of COVID-19 patients presenting to emergency departments across pandemic waves: an observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN).

Corinne M Hohl, Rhonda J Rosychuk, Jeffrey P Hau, Jake Hayward, Megan Landes, Justin W Yan, Daniel K Ting, Michelle Welsford, Patrick M Archambault, Eric Mercier and 7 more

Abstract readPublished Erratum
In one paragraph

Article in CJEM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Corinne M HohlDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada. corinne.hohl@ubc.ca.ORCID http://orcid.org/0000-0002-9210-7838
Rhonda J RosychukDepartment of Pediatrics, University of Alberta, Edmonton, AB, Canada.
Jeffrey P HauDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Jake HaywardDepartment of Emergency Medicine, University of Alberta, Edmonton, AB, Canada.
Megan LandesDivision of Emergency Medicine, University of Toronto, Toronto, ON, Canada.
Justin W YanDivision of Emergency Medicine, London Health Sciences Centre, London, ON, Canada.
Daniel K TingDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Michelle WelsfordDivision of Emergency Medicine, McMaster University, Hamilton, ON, Canada.
Patrick M ArchambaultDepartment of Family Medicine and Emergency Medicine, Université Laval, Quebec, QC, Canada.
Eric MercierCentre de Recherche, CHU de Québec, Université Laval, Quebec, QC, Canada.
Kavish ChandraDepartment of Emergency Medicine, Dalhousie Medicine New Brunswick, Saint John, NB, Canada.
Philip DavisDepartment of Emergency Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Samuel VaillancourtDivision of Emergency Medicine, University of Toronto, Toronto, ON, Canada.
Murdoch LeeiesDepartment of Emergency Medicine, University of Manitoba, Winnipeg, MB, Canada.
Serena SmallDepartment of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
Laurie J MorrisonDivision of Emergency Medicine, University of Toronto, Toronto, ON, Canada.
Canadian COVID-19 Rapid Response Network (CCEDRRN) investigators for the Network of Canadian Emergency Researchers, for the Canadian Critical Care Trials Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID35451805
PMCPMC9026034

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.