Evidence map›Paper›PMID 34355020›Full record

ArticleFrontiers in molecular biosciences2021

A Validated Mathematical Model of the Cytokine Release Syndrome in Severe COVID-19.

Ruy Freitas Reis, Alexandre Bittencourt Pigozzo, Carla Rezende Barbosa Bonin, Barbara de Melo Quintela, Lara Turetta Pompei, Ana Carolina Vieira, Larissa de Lima E Silva, Maicom Peters Xavier, Rodrigo Weber Dos Santos, Marcelo Lobosco

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

10 authors.

Ruy Freitas ReisInstitute of Exact Sciences, Department of Computing, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Alexandre Bittencourt PigozzoComputer Science Department, Federal University of São João Del-Rei, São João Del-Rei, Brazil.
Carla Rezende Barbosa BoninInstitute of Education, Science and Technology of Southeast of Minas Gerais - Cataguases Advanced Campus, Cataguases, Brazil.
Barbara de Melo QuintelaInstitute of Exact Sciences, Department of Computing, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Lara Turetta PompeiFISIOCOMP - Laboratory of Computational Fisiology and High-Performance Computing, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Ana Carolina VieiraGET-EngComp, Grupo de Educação Tutorial Engenharia Computacional, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Larissa de Lima E SilvaFISIOCOMP - Laboratory of Computational Fisiology and High-Performance Computing, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Maicom Peters XavierGraduate Program on Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Rodrigo Weber Dos SantosInstitute of Exact Sciences, Department of Computing, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Marcelo LoboscoInstitute of Exact Sciences, Department of Computing, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By June 2021, a new contagious disease, the Coronavirus disease 2019 (COVID-19), has infected more than 172 million people worldwide, causing more than 3.7 million deaths. Many aspects related to the interactions of the disease's causative agent, SAR2-CoV-2, and the immune response are not well understood: the multiscale interactions among the various components of the human immune system and the pathogen are very complex. Mathematical and computational tools can help researchers to answer these open questions about the disease. In this work, we present a system of fifteen ordinary differential equations that models the immune response to SARS-CoV-2. The model is used to investigate the hypothesis that the SARS-CoV-2 infects immune cells and, for this reason, induces high-level productions of inflammatory cytokines. Simulation results support this hypothesis and further explain why survivors have lower levels of cytokines levels than non-survivors.

Indexed as

citokine stormcomputational immunologyCOVID-19mathematical modellingSARS-CoV-2sensitivity analysis

Identifiers

PMID34355020
PMCPMC8329239

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.