Evidence map›Paper›PMID 34352287›Full record

ReviewExperimental gerontology2021

Aging & COVID-19 susceptibility, disease severity, and clinical outcomes: The role of entangled risk factors.

Melina Farshbafnadi, Sara Kamali Zonouzi, Mohammadmahdi Sabahi, Mahsa Dolatshahi, Mohammad Hadi Aarabi

Open access · greenAbstract readReview
In one paragraph

Review in Experimental gerontology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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23 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 2 countries.

Melina FarshbafnadiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: melinafn15@gmail.com.
Sara Kamali ZonouziSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran; NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran. Electronic address: sara.kamali.zonouzi@gmail.com.
Mohammadmahdi SabahiNeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran; Neurosurgery Research Group (NRG), Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran. Electronic address: mmsabahi1996@gmail.com.
Mahsa DolatshahiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran; NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran. Electronic address: Dolatshahimahsa75@gmail.com.
Mohammad Hadi AarabiPadova Neuroscience Center (PNC), Department of Neuroscience, University of Padova, Padova, Italy. Electronic address: mohammadhadi.aarabi@unipd.it.
Universal Scientific Education and Research Network · IRHamedan University of Medical Sciences · IRTehran University of Medical Sciences · IRUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) in late 2019 has been associated with a high rate of mortality and morbidity. It has been determined that the old population are not only at an increased risk for affliction with COVID-19 infection, but also atypical presentations, severe forms of the disease, and mortality are more common in this population. A plethora of mechanisms and risk factors contribute to the higher risk of infection in the old population. For instance, aging is associated with an increment in the expression of Angiotensin-Converting Enzyme-2 (ACE-2), the receptor for SARS-CoV-2 spike protein, which precipitates replication of the virus in the old population. On the other hand, immune dysregulation and changes in gut microbiota as a result of aging can contribute to the cytokine storm, one of the main indicators of disease severity. Decrement in sex steroids, especially in women, as well as growth hormone, both of which have crucial roles in immune regulation, is a key contributor to disease severity in old age. Senescence-associated oxidative stress and mitochondrial dysfunction in both pneumocytes and immune cells contribute to the severity of infection in an exacerbative manner. In addition, lifestyle-associated factors such as nutrition and physical activity, which are compromised in old age, are known as important factors in COVID-19 infection. Aging-associated comorbidities, especially cardiovascular diseases and diabetes mellitus, also put older adults at an increased risk of complications, and disease severity.

Indexed as

COVID-19AgedAgingDisease SusceptibilityFemaleHumansRisk FactorsSARS-CoV-2Severity of Illness IndexSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ARDSMortalityOlder adultsSARS-CoV-2

Identifiers

PMID34352287
PMCPMC8329427
OpenAlexW3192644687

What Socratic 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 Socratic graph.