Evidence map›Paper›PMID 34237072›Full record

SynthesisPLoS neglected tropical diseases2021

Prevalence of neutralising antibodies against SARS-CoV-2 in acute infection and convalescence: A systematic review and meta-analysis.

Helen R Savage, Victor S Santos, Thomas Edwards, Emanuele Giorgi, Sanjeev Krishna, Timothy D Planche, Henry M Staines, Joseph R A Fitchett, Daniela E Kirwan, Ana I Cubas Atienzar and 3 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
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  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Observational
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  19. 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

13 authors.

Helen R SavageDepartments of Clinical Sciences and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-2592-9257
Victor S SantosNúcleo de Epidemiologia e Saúde Pública, Universidade Federal de Alagoas, Arapiraca, Brazil.ORCID 0000-0003-0194-7397
Thomas EdwardsDepartments of Clinical Sciences and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-4058-4461
Emanuele GiorgiLancaster Medical School, Lancaster, United Kingdom.ORCID 0000-0003-0640-181X
Sanjeev KrishnaSt. George's, University of London, London, United Kingdom.ORCID 0000-0003-0066-0634
Timothy D PlancheSt. George's, University of London, London, United Kingdom.ORCID 0000-0002-0263-0888
Henry M StainesSt. George's, University of London, London, United Kingdom.ORCID 0000-0001-5890-3040
Joseph R A FitchettMologic, Thurleigh, United Kingdom.
Daniela E KirwanSt. George's, University of London, London, United Kingdom.ORCID 0000-0003-3989-0795
Ana I Cubas AtienzarDepartments of Clinical Sciences and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0002-9604-124X
David J ClarkSt. George's, University of London, London, United Kingdom.ORCID 0000-0003-3677-0034
Emily R AdamsDepartments of Clinical Sciences and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Luis E CuevasDepartments of Clinical Sciences and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0002-6581-0587

Funding

Medical Research Council MR/P019978/1Medical Research Council MR/P019978/2Wellcome Trust 204809/Z/16/ZWellcome Trust 220764/Z/20/Z
6 · The paper itself

Abstract

backgroundIndividuals infected with SARS-CoV-2 develop neutralising antibodies. We investigated the proportion of individuals with SARS-CoV-2 neutralising antibodies after infection and how this proportion varies with selected covariates. METHODOLOGY/PRINCIPAL

findingsThis systematic review and meta-analysis examined the proportion of individuals with SARS-CoV-2 neutralising antibodies after infection and how these proportions vary with selected covariates. Three models using the maximum likelihood method assessed these proportions by study group, covariates and individually extracted data (protocol CRD42020208913). A total of 983 reports were identified and 27 were included. The pooled (95%CI) proportion of individuals with neutralising antibodies was 85.3% (83.5-86.9) using the titre cut off >1:20 and 83.9% (82.2-85.6), 70.2% (68.1-72.5) and 54.2% (52.0-56.5) with titres >1:40, >1:80 and >1:160, respectively. These proportions were higher among patients with severe COVID-19 (e.g., titres >1:80, 84.8% [80.0-89.2], >1:160, 74.4% [67.5-79.7]) than those with mild presentation (56.7% [49.9-62.9] and 44.1% [37.3-50.6], respectively) and lowest among asymptomatic infections (28.6% [17.9-39.2] and 10.0% [3.7-20.1], respectively). IgG and neutralising antibody levels correlated poorly. CONCLUSIONS/SIGNIFICANCE: 85% of individuals with proven SARS-CoV-2 infection had detectable neutralising antibodies. This proportion varied with disease severity, study setting, time since infection and the method used to measure antibodies.

Indexed as

Acute DiseaseAntibodies, NeutralizingAntibodies, ViralConvalescenceCOVID-19HumansPrevalenceSARS-CoV-2Antibodies, NeutralizingAntibodies, Viral

Identifiers

PMID34237072
PMCPMC8291969

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.