Evidence map›Paper›PMID 35883640›Full record

ReviewCells2022

Virus Infection and Systemic Inflammation: Lessons Learnt from COVID-19 and Beyond.

Aileen Faist, Josua Janowski, Sriram Kumar, Saskia Hinse, Duygu Merve Çalışkan, Julius Lange, Stephan Ludwig, Linda Brunotte

Abstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
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  8. Review
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

8 authors.

Aileen FaistInstitute of Virology, University of Muenster, 48149 Muenster, Germany.
Josua JanowskiInstitute of Virology, University of Muenster, 48149 Muenster, Germany.
Sriram KumarInstitute of Virology, University of Muenster, 48149 Muenster, Germany.ORCID 0000-0001-6464-1219
Saskia HinseInstitute of Virology, University of Muenster, 48149 Muenster, Germany.
Duygu Merve ÇalışkanInstitute of Virology, University of Muenster, 48149 Muenster, Germany.ORCID 0000-0002-8064-9146
Julius LangeInstitute of Virology, University of Muenster, 48149 Muenster, Germany.
Stephan LudwigInstitute of Virology, University of Muenster, 48149 Muenster, Germany.ORCID 0000-0003-4490-3052
Linda BrunotteInstitute of Virology, University of Muenster, 48149 Muenster, Germany.ORCID 0000-0001-8074-7400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory infections with newly emerging zoonotic viruses such as SARS-CoV-2, the etiological agent of COVID-19, often lead to the perturbation of the human innate and adaptive immune responses causing severe disease with high mortality. The responsible mechanisms are commonly virus-specific and often include either over-activated or delayed local interferon responses, which facilitate efficient viral replication in the primary target organ, systemic viral spread, and rapid onset of organ-specific and harmful inflammatory responses. Despite the distinct replication strategies, human infections with SARS-CoV-2 and highly pathogenic avian influenza viruses demonstrate remarkable similarities and differences regarding the mechanisms of immune induction, disease dynamics, as well as the long-term sequelae, which will be discussed in this review. In addition, we will highlight some important lessons about the effectiveness of antiviral and immunomodulatory therapeutic strategies that this pandemic has taught us.

Indexed as

COVID-19AnimalsAntiviral AgentsHumansInflammationPandemicsSARS-CoV-2Antiviral AgentsCOVID-19highly pathogenic avian influenzasystemic inflammationviral infection

Identifiers

PMID35883640
PMCPMC9316821

What OpenQuestion holds

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LicenceCC BY
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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.