Evidence map›Paper›PMID 33538019›Full record

ArticleThe Medical journal of Australia2021

Seroprevalence of SARS-CoV-2-specific antibodies in Sydney after the first epidemic wave of 2020.

Heather F Gidding, Dorothy A Machalek, Alexandra J Hendry, Helen E Quinn, Kaitlyn Vette, Frank H Beard, Hannah S Shilling, Rena Hirani, Iain B Gosbell, David O Irving and 7 more

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

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  17. The utility of SARS-CoV-2-specific serology in COVID-19 diagnosis.Australian and New Zealand journal of public health · 2021
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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

17 authors.

Heather F GiddingNational Centre for Immunisation Research and Surveillance, Children's Hospital at Westmead, Sydney, NSW.ORCID 0000-0001-7595-9281
Dorothy A MachalekThe Kirby Institute, University of New South Wales, Sydney, NSW.
Alexandra J HendryNational Centre for Immunisation Research and Surveillance, Children's Hospital at Westmead, Sydney, NSW.
Helen E QuinnNational Centre for Immunisation Research and Surveillance, Children's Hospital at Westmead, Sydney, NSW.
Kaitlyn VetteNational Centre for Immunisation Research and Surveillance, Children's Hospital at Westmead, Sydney, NSW.
Frank H BeardNational Centre for Immunisation Research and Surveillance, Children's Hospital at Westmead, Sydney, NSW.ORCID 0000-0002-9151-4781
Hannah S ShillingCentre for Women's Infectious Diseases, Royal Women's Hospital, Melbourne, VIC.
Rena HiraniAustralian Red Cross Lifeblood, Sydney, NSW.
Iain B GosbellAustralian Red Cross Lifeblood, Sydney, NSW.
David O IrvingAustralian Red Cross Lifeblood, Sydney, NSW.
Linda HuestonNSW Health Pathology-Institute of Clinical Pathology and Medical Research, Westmead Hospital, Sydney, NSW.
Marnie DownesMurdoch Children's Research Institute, Melbourne, VIC.
John B CarlinMurdoch Children's Research Institute, Melbourne, VIC.
Matthew Vn O'SullivanNSW Health Pathology-Institute of Clinical Pathology and Medical Research, Westmead Hospital, Sydney, NSW.
Dominic E DwyerNSW Health Pathology-Institute of Clinical Pathology and Medical Research, Westmead Hospital, Sydney, NSW.
John M KaldorThe Kirby Institute, University of New South Wales, Sydney, NSW.
Kristine MacartneyNational Centre for Immunisation Research and Surveillance, Children's Hospital at Westmead, Sydney, NSW.

Funding

Australian Department of HealthNational Health and Medical Research CouncilNSW Ministry of HealthThe Children's Hospital at Westmead
6 · The paper itself

Abstract

objectivesTo estimate SARS-CoV-2-specific antibody seroprevalence after the first epidemic wave of coronavirus disease 2019 (COVID-19) in Sydney. SETTING,

participantsPeople of any age who had provided blood for testing at selected diagnostic pathology services (general pathology); pregnant women aged 20-39 years who had received routine antenatal screening; and Australian Red Cross Lifeblood plasmapheresis donors aged 20-69 years.

designCross-sectional study; testing of de-identified residual blood specimens collected during 20 April - 2 June 2020.

main outcome measureEstimated proportions of people seropositive for anti-SARS-CoV-2-specific IgG, adjusted for test sensitivity and specificity.

resultsThirty-eight of 5339 specimens were IgG-positive (general pathology, 19 of 3231; antenatal screening, 7 of 560; plasmapheresis donors, 12 of 1548); there were no clear patterns by age group, sex, or location of residence. Adjusted estimated seroprevalence among people who had had general pathology blood tests (all ages) was 0.15% (95% credible interval [CrI], 0.04-0.41%), and 0.29% (95% CrI, 0.04-0.75%) for plasmapheresis donors (20-69 years). Among 20-39-year-old people, the age group common to all three collection groups, adjusted estimated seroprevalence was 0.24% (95% CrI, 0.04-0.80%) for the general pathology group, 0.79% (95% CrI, 0.04-1.88%) for the antenatal screening group, and 0.69% (95% CrI, 0.04-1.59%) for plasmapheresis donors.

conclusionsEstimated SARS-CoV-2 seroprevalence was below 1%, indicating that community transmission was low during the first COVID-19 epidemic wave in Sydney. These findings suggest that early control of the spread of COVID-19 was successful, but efforts to reduce further transmission remain important.

Indexed as

PandemicsAdolescentAdultAgedAntibodies, ViralAustraliaBlood DonorsChildChild, PreschoolCOVID-19Cross-Sectional StudiesFemaleHumansImmunoglobulin GInfantInfant, NewbornAntibodies, ViralImmunoglobulin GCOVID-19EpidemiologyInfectious diseasesRespiratory tract infections

Identifiers

PMID33538019
PMCPMC8014239

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.