Evidence map›Paper›PMID 33281063›Full record

ReviewTrends in immunology2021

Combining Antivirals and Immunomodulators to Fight COVID-19.

Vincent Feuillet, Bruno Canard, Alain Trautmann

Open access · bronzeAbstract readReview
In one paragraph

Review in Trends in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.4field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 59 citations in OpenAlex.

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  14. COVID-19 Medical and Pharmacological Management in the European Countries Compared to Italy: An Overview.International journal of environmental research and public health · 2022
    Review
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  16. Nanotechnology Toolkit for Combating COVID-19 and Beyond.ChemNanoMat : chemistry of nanomaterials for energy, biology and more · 2022
    Review
  17. 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 1 institution in 1 country.

Vincent FeuilletAix-Marseille University, CNRS, INSERM, Centre d'Immunologie de Marseille-Luminy, Marseille, France. Electronic address: vincent.feuillet@inserm.fr.
Bruno CanardCNRS UMR 7257, Aix-Marseille University, Marseille, France.
Alain TrautmannUniversité de Paris, Institut Cochin, INSERM, CNRS, F-75014 Paris, France.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected individuals remain paucisymptomatic, contrasting with a minority of infected individuals in danger of death. Here, we speculate that the robust disease resistance of most individuals is due to a swift production of type I interferon (IFNα/β), presumably sufficient to lower the viremia. A minority of infected individuals with a preexisting chronic inflammatory state fail to mount this early efficient response, leading to a delayed harmful inflammatory response. To improve the epidemiological scenario, we propose combining: (i) the development of efficient antivirals administered early enough to assist in the production of endogenous IFNα/β; (ii) potentiating early IFN responses; (iii) administering anti-inflammatory treatments when needed, but not too early to interfere with endogenous antiviral responses.

Indexed as

Angiotensin-Converting Enzyme 2Antiviral AgentsCOVID-19COVID-19 Drug TreatmentCytokinesHumansImmunologic FactorsInterferon Type ISARS-CoV-2Serine EndopeptidasesVirus ReplicationACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsCytokinesImmunologic FactorsInterferon Type ISerine EndopeptidasesTMPRSS2 protein, humanantiviral moleculesCOVID-19cytokine stormIFNα/βimmunomodulatorsSARS-CoV-2

Identifiers

PMID33281063
PMCPMC7664349
OpenAlexW3105818049

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.