Evidence map›Paper›PMID 38626271›Full record

ReviewOxford open immunology2021

The T-cell response to SARS-CoV-2: kinetic and quantitative aspects and the case for their protective role.

Antonio Bertoletti, Anthony T Tan, Nina Le Bert

Open access · goldAbstract readReview
In one paragraph

Review in Oxford open immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

41 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. T-Cell-Dependent Bispecific IgGs Protect Aged Mice From Lethal SARS-CoV-2 Infection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  12. Can T Cells Abort SARS-CoV-2 and Other Viral Infections?International journal of molecular sciences · 2023
    Review
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  15. Spotlights on the latest opinions on identification, prevention, and management of newer CoV-2 variants: A roundup appraisal on innovative ideas and designer vaccines for Omicron.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2022
    Review
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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

3 authors at 2 institutions in 1 country.

Antonio BertolettiProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.ORCID https://orcid.org/0000-0002-2942-0485
Anthony T TanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Nina Le BertProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore.
Duke-NUS Medical School · SGAgency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2), the etiological agent of Coronavirus Diseases 2019 (COVID-19), triggers an adaptive immunity in the infected host that results in the production of virus-specific antibodies and T cells. Although kinetic and quantitative aspects of antibodies have been analyzed in large patient cohorts, similar information about SARS-CoV-2-specific T cells are scarce. We summarize the available knowledge of quantitative and temporal features of the SARS-CoV-2 T-cell response in this review. Currently, most of the data are derived only from the analysis of the circulatory compartment. Despite this limitation, early appearance, multi-specificity and functionality of SARS-CoV-2-specific T cells are associated with accelerated viral clearance and with protection from severe COVID-19.

Indexed as

COVID-19T cellsvirus-specific T cells

Identifiers

PMID38626271
PMCPMC7928654
OpenAlexW3132346899

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.