Evidence map›Paper›PMID 33123152›Full record

ReviewFrontiers in immunology2020

Immunesenescence: A Predisposing Risk Factor for the Development of COVID-19?

Jon Hazeldine, Janet M Lord

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed, 63 citations in OpenAlex.

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  10. Neuro-Immune Interactions in Severe COVID-19 Infection.Pathogens (Basel, Switzerland) · 2022
    Review
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  18. Role of neutrophils in acute viral infection.Immunity, inflammation and disease · 2021
    Review
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  20. Article
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

2 authors at 2 institutions in 1 country.

Jon HazeldineMedical Research Council-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Janet M LordMedical Research Council-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
National Health Service · GBNIHR Surgical Reconstruction and Microbiology Research Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bearing a strong resemblance to the phenotypic and functional remodeling of the immune system that occurs during aging (termed immunesenescence), the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus disease 2019 (COVID-19), is characterized by an expansion of inflammatory monocytes, functional exhaustion of lymphocytes, dysregulated myeloid responses and the presence of highly activated senescent T cells. Alongside advanced age, male gender and pre-existing co-morbidities [e.g., obesity and type 2 diabetes (T2D)] are emerging as significant risk factors for COVID-19. Interestingly, immunesenescence is more profound in males when compared to females, whilst accelerated aging of the immune system, termed premature immunesenescence, has been described in obese subjects and T2D patients. Thus, as three distinct demographic groups with an increased susceptibility to COVID-19 share a common immune profile,

Indexed as

AgingBetacoronavirusCellular SenescenceCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHumansMaleMonocytesNeutrophilsObesityPandemicsPneumonia, ViralRisk FactorsSARS-CoV-2agingCOVID-19immune dysfunctionimmunesenescenceinflammagingSARS-Cov_2

Identifiers

PMID33123152
PMCPMC7573102
OpenAlexW3091780605

What Socratic 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 Socratic graph.