Evidence map›Paper›PMID 36225915›Full record

ArticleFrontiers in immunology2022

Low baseline IFN-γ response could predict hospitalization in COVID-19 patients.

Marion Cremoni, Jonathan Allouche, Daisy Graça, Kevin Zorzi, Céline Fernandez, Maxime Teisseyre, Sylvia Benzaken, Caroline Ruetsch-Chelli, Vincent L M Esnault, Jean Dellamonica and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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  8. [Innate immune response to interferon gamma in severe Covid-19 positive patients].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Observational
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  16. Protective interplay:Frontiers in immunology · 2024
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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

15 authors at 2 institutions in 1 country.

Marion CremoniClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Jonathan AlloucheDepartment of Public Health, Archet 1 Hospital, Nice University Hospital, Nice, France.
Daisy GraçaImmunology Laboratory, Archet 1 Hospital, Nice University Hospital, Nice, France.
Kevin ZorziClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Céline FernandezClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Maxime TeisseyreClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Sylvia BenzakenImmunology Laboratory, Archet 1 Hospital, Nice University Hospital, Nice, France.
Caroline Ruetsch-ChelliClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Vincent L M EsnaultClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Jean DellamonicaClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Michel CarlesInfectious Diseases Department, Archet 1 Hospital, Nice University Hospital, Nice, France.
Jérôme BarrièreDepartment of Medical Oncology, Polyclinique Saint-Jean, Cagnes-sur-mer, France.
Michel TicchioniImmunology Laboratory, Archet 1 Hospital, Nice University Hospital, Nice, France.
Vesna BrglezClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Barbara Seitz-PolskiClinical Research Unit Côte d'Azur (UR2CA), University Côte d'Azur, Nice, France.
Observatoire de la Côte d’Azur · FRClinique Saint Jean Languedoc · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 infection has spread rapidly around the world causing millions of deaths. Several treatments can reduce mortality and hospitalization. However, their efficacy depends on the choice of the molecule and the precise timing of its administration to ensure viral clearance and avoid a deleterious inflammatory response. Here, we investigated IFN-γ, assessed by a functional immunoassay, as a predictive biomarker for the risk of hospitalization at an early stage of infection or within one month prior to infection. Individuals with IFN-γ levels below 15 IU/mL were 6.57-times more likely to be hospitalized than those with higher values (p<0.001). As confirmed by multivariable analysis, low IFN-γ levels, age >65 years, and no vaccination were independently associated with hospitalization. In addition, we found a significant inverse correlation between low IFN-γ response and high level of IL-6 in plasma (Spearman's rho=-0.38, p=0.003). Early analysis of the IFN-γ response in a contact or recently infected subject with SARS-CoV-2 could predict hospitalization and thus help the clinician to choose the appropriate treatment avoiding severe forms of infection and hospitalization.

Indexed as

COVID-19AgedBiomarkersHospitalizationHumansInterferon-gammaInterleukin-6SARS-CoV-2BiomarkersInterferon-gammaInterleukin-6functional immunoassayIFN-γpersonalized medicinepredictive biomarkerSARS-CoV-2viral infection

Identifiers

PMID36225915
PMCPMC9548596
OpenAlexW4297236304

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.