Evidence map›Paper›PMID 36523408›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Epidemiology and outcomes of SARS-CoV-2 infection associated with anti-nucleocapsid seropositivity in Cape Town, South Africa.

Hannah Hussey, Helena Vreede, Mary-Ann Davies, Alexa Heekes, Emma Kalk, Diana Hardie, Gert van Zyl, Michelle Naidoo, Erna Morden, Jamy-Lee Bam and 15 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Long-term interplay between COVID-19 and chronic kidney disease.International urology and nephrology · 2023
    Review
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

25 authors.

Hannah HusseyHealth Intelligence, Western Cape Government: Health, South Africa.
Helena VreedeDivision of Chemical Pathology, University of Cape Town, South Africa.
Mary-Ann DaviesHealth Intelligence, Western Cape Government: Health, South Africa.
Alexa HeekesHealth Intelligence, Western Cape Government: Health, South Africa.
Emma KalkSchool of Public Health, University of Cape Town, South Africa.
Diana HardieNational Health Laboratory Service, South Africa.
Gert van ZylNational Health Laboratory Service, South Africa.
Michelle NaidooNational Health Laboratory Service, South Africa.
Erna MordenHealth Intelligence, Western Cape Government: Health, South Africa.
Jamy-Lee BamHealth Intelligence, Western Cape Government: Health, South Africa.
Nesbert ZinyakatiraHealth Intelligence, Western Cape Government: Health, South Africa.
Chad M CentnerNational Health Laboratory Service, South Africa.
Jean MaritzDivision of Medical Virology, Stellenbosch University, South Africa.
Jessica OpieNational Health Laboratory Service, South Africa.
Zivanai ChapandukaNational Health Laboratory Service, South Africa.
Hassan MahomedMetro Health Services, Western Cape Government: Health.
Mariette SmithHealth Intelligence, Western Cape Government: Health, South Africa.
Annibale CoisSchool of Public Health, University of Cape Town, South Africa.
David PienaarRural Health Services, Western Cape Government: Health.
Andrew D ReddDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Wolfgang PreiserNational Health Laboratory Service, South Africa.
Robert WilkinsonWellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, South Africa.
Kamy ChettyNational Health Laboratory Service, South Africa.
Andrew BoulleHealth Intelligence, Western Cape Government: Health, South Africa.
Nei-Yuan HsiaoNational Health Laboratory Service, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In low- and middle-income countries where SARS-CoV-2 testing is limited, seroprevalence studies can characterise the scale and determinants of the pandemic, as well as elucidate protection conferred by prior exposure. Methods: We conducted repeated cross-sectional serosurveys (July 2020 - November 2021) using residual plasma from routine convenient blood samples from patients with non-COVID-19 conditions from Cape Town, South Africa. SARS-CoV-2 anti-nucleocapsid antibodies and linked clinical information were used to investigate: (1) seroprevalence over time and risk factors associated with seropositivity, (2) ecological comparison of seroprevalence between subdistricts, (3) case ascertainment rates, and (4) the relative protection against COVID-19 associated with seropositivity and vaccination statuses, to estimate variant disease severity. Findings: Among the subset sampled, seroprevalence of SARS-CoV-2 in Cape Town increased from 39.2% in July 2020 to 67.8% in November 2021. Poorer communities had both higher seroprevalence and COVID-19 mortality. Only 10% of seropositive individuals had a recorded positive SARS-CoV-2 test. Antibody positivity before the start of the Omicron BA.1 wave (28 November 2021) was strongly protective for severe disease (adjusted odds ratio [aOR] 0.15; 95%CI 0.05-0.46), with additional benefit in those who were also vaccinated (aOR 0.07, 95%CI 0.01-0.35). Interpretation: The high population seroprevalence in Cape Town was attained at the cost of substantial COVID-19 mortality. At the individual level, seropositivity was highly protective against subsequent infections and severe COVID-19. Funding: Wellcome Trust, National Health Laboratory Service, the Division of Intramural Research, NIAID, NIH (ADR) and Western Cape Government Health.

Identifiers

PMID36523408
PMCPMC9753787

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.