Evidence map›Paper›PMID 34807505›Full record

ArticleEmergency medicine Australasia : EMA2022

Characteristics of patients with COVID-19 hospitalised in South Australia during the first wave of the pandemic.

Justin Boyle, Ross Sparks

Abstract read
In one paragraph

Article in Emergency medicine Australasia : EMA, 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

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

2 authors.

Justin BoyleCSIRO Health and Biosecurity, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Ross SparksAnalytics and Decision Sciences, CSIRO Data61, Sydney, New South Wales, Australia.

Funding

Commonwealth Scientific and Industrial Research OrganisationSA Health's Commission for Excellence and Innovation in Health
6 · The paper itself

Abstract

objectiveTo describe the first wave of hospitalisations of patients testing positive for COVID-19 in South Australia.

methodsPathology test results for COVID-19 between January and June 2020 were matched against state-wide ED and inpatient data sets.

resultsThe impact of the first wave of COVID-19 on South Australian hospitals was 440 unique patients with COVID-19; median ED, hospital and ICU lengths of stay of 4.7 h, 9.8 days and 4.1 days, respectively; and a crude mortality rate of 0.23 deaths per 100 000 population (four deaths).

conclusionThe study sheds light on the characteristics of patients with COVID-19 hospitalised in South Australia.

Indexed as

COVID-19AustraliaHumansPandemicsRetrospective StudiesSARS-CoV-2South AustraliaCOVID-19disease outbreaksemergency servicehospital

Identifiers

PMID34807505
PMCPMC9011511

What OpenQuestion holds

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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.