Evidence map›Paper›PMID 32964627›Full record

ReviewReviews in medical virology2021

Immune response following infection with SARS-CoV-2 and other coronaviruses: A rapid review.

Eamon O Murchu, Paula Byrne, Kieran A Walsh, Paul G Carty, Máire Connolly, Cillian De Gascun, Karen Jordan, Mary Keoghan, Kirsty K O'Brien, Michelle O'Neill and 4 more

Abstract readReview
In one paragraph

Review in Reviews in medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 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

62 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Risk assessment of infection of COVID-19 contacts based on scenario simulation.Risk analysis : an official publication of the Society for Risk Analysis · 2025
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2 more citing papers are in PubMed but not listed here.

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

14 authors.

Eamon O MurchuHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.ORCID https://orcid.org/0000-0003-3926-0179
Paula ByrneHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Kieran A WalshHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Paul G CartyHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Máire ConnollySchool of Medicine, National University of Ireland Galway, Galway, Ireland.
Cillian De GascunUCD National Virus Reference Laboratory, University College Dublin, Dublin 4, Ireland.
Karen JordanHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Mary KeoghanDepartment of Clinical Immunology, Beaumont Hospital, Dublin 9, Ireland.
Kirsty K O'BrienHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Michelle O'NeillHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Susan M SmithDepartment of General Practice, Health Research Board Centre for Primary Care Research, Royal College of Surgeons in Ireland, Dublin 2, Ireland.
Conor TeljeurHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Máirín RyanHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.
Patricia HarringtonHealth Technology Assessment Directorate, Health Information and Quality Authority, Dublin 7, Ireland.

Funding

This research was funded in part by the Health Research Board under grant no. HRB-CICER-2016-1871.
6 · The paper itself

Abstract

In this review, we systematically searched and summarized the evidence on the immune response and reinfection rate following SARS-CoV-2 infection. We also retrieved studies on SARS-CoV and MERS-CoV to assess the long-term duration of antibody responses. A protocol based on Cochrane rapid review methodology was adhered to and databases were searched from 1/1/2000 until 26/5/2020. Of 4744 citations retrieved, 102 studies met our inclusion criteria. Seventy-four studies were retrieved on SARS-CoV-2. While the rate and timing of IgM and IgG seroconversion were inconsistent across studies, most seroconverted for IgG within 2 weeks and 100% (N = 62) within 4 weeks. IgG was still detected at the end of follow-up (49-65 days) in all patients (N = 24). Neutralizing antibodies were detected in 92%-100% of patients (up to 53 days). It is not clear if reinfection with SARS-CoV-2 is possible, with studies more suggestive of intermittent detection of residual RNA. Twenty-five studies were retrieved on SARS-CoV. In general, SARS-CoV-specific IgG was maintained for 1-2 years post-infection and declined thereafter, although one study detected IgG up to 12 years post-infection. Neutralizing antibodies were detected up to 17 years in another study. Three studies on MERS-CoV reported that IgG may be detected up to 2 years. In conclusion, limited early data suggest that most patients seroconvert for SARS-CoV-2-specific IgG within 2 weeks. While the long-term duration of antibody responses is unknown, evidence from SARS-CoV studies suggest SARS-CoV-specific IgG is sustained for 1-2 years and declines thereafter.

Indexed as

Antibodies, NeutralizingAntibodies, ViralCoronavirusCoronavirus InfectionsCOVID-19HumansImmunityImmunoglobulin GImmunoglobulin MSARS-CoV-2Antibodies, NeutralizingAntibodies, ViralImmunoglobulin GImmunoglobulin MCOVID-19MERS-CoVSARS-CoVSARS-CoV-2seasonal coronaviruses

Identifiers

PMID32964627
PMCPMC7536965

What OpenQuestion holds

Textmetadata
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.