Evidence map›Paper›PMID 34047290›Full record

ReviewJournal of biosciences2021

COVID-19 and central nervous system interplay: A big picture beyond clinical manifestation.

Sutapa Som Chaudhury, Koel Sinha, Rabindranath Majumder, Atanu Biswas, Chitrangada DAS Mukhopadhyay

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Sutapa Som ChaudhuryCentre for Healthcare Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Howrah 711 103, India.
Koel Sinha
Rabindranath Majumder
Atanu Biswas
Chitrangada DAS Mukhopadhyay
Indian Institute of Engineering Science and Technology, Shibpur · INBangur Institute of Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV2) has been declared a pandemic. Global research updates confirm that the infected patients manifest a range of clinical symptoms and sometimes remain entirely asymptomatic, posing a greater threat to the people coming in contact. Despite several case reports coming up every day, our knowledge about the neurotropic mechanism of the SARS-CoV-2, immunological responses, and the mode of disease progression and mechanism of crosstalk between the central nervous system (CNS), heart, lungs, and other major organs is not complete. Report of anosmia, ataxia, dysgeusia, and altered psychological status of the infected COVID-19 patients offers some clue to the possible route of viral entry and multiplication. In this review, we have critically assessed the involvement of CNS dysregulation in COVID-19 patients. The probable mechanism of immunological responses, the impairment of the coagulation pathway, the onset of cytokine storm, its interplay with the HPA axis, and hypoxia are discussed in detail here. Based on the latest research findings and some case reports of hospitalized COVID-19 patients, it is evident that the CNS involvement in disease progression is alarming. Accurate and timely detection of viral load in CNS is necessary to allow prompt and effective treatment modalities.

Indexed as

BrainCentral Nervous System DiseasesCOVID-19HumansPericytesSARS-CoV-2

Identifiers

PMID34047290
PMCPMC8154547
OpenAlexW3164973140

What OpenQuestion 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 OpenQuestion graph.