Evidence map›Paper›PMID 34153419›Full record

ReviewMicrobial pathogenesis2021

Potential biomarkers for the early prediction of SARS-COV-2 disease outcome.

Vignesh Mariappan, P S Manoharan, Pajanivel R, Lokesh Shanmugam, S R Rao, Agieshkumar Balakrishna Pillai

Open access · greenAbstract readReview
In one paragraph

Review in Microbial pathogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 27 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

6 authors at 2 institutions in 1 country.

Vignesh MariappanCentral Inter-Disciplinary Research Facility (CIDRF), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607 402, India. Electronic address: vigneshvickey585@rocketmail.com.
P S ManoharanIndira Gandhi Institute of Dental Science (IGIDS), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607 402, India. Electronic address: manoharanps@igids.ac.in.
Pajanivel RMahatma Gandhi Medical College and Research Institute (MGMCRI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607 402, India. Electronic address: pajanivelr@mgmcri.ac.in.
Lokesh ShanmugamMahatma Gandhi Medical College and Research Institute (MGMCRI), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607 402, India. Electronic address: lokeshs@mgmcri.ac.in.
S R RaoVice-President (Research, Innovation & Development), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607 402, India. Electronic address: vp@sbvu.ac.in.
Agieshkumar Balakrishna PillaiCentral Inter-Disciplinary Research Facility (CIDRF), Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607 402, India. Electronic address: agiesh.b@gmail.com.
Sri Balaji Vidyapeeth University · INMahatma Gandhi Medical College and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current pandemic due to the fast spreading of SARS-CoV-2 infection has caused severe impairment in health, social, economic, scientific, and medical sectors across the globe. Owing to the not so well understood mechanism of disease pathogenesis in terms of variations in immune responses, there remains obscure why some of the patients who are infected by the novel SARS-CoV-2 develop an unpredictable clinical course that rapidly causes severe and deadly complications/manifestations. Currently, several assays are available for the confirmation of SARS-CoV-2 infection at the point of care. However, none of these assays can predict the severity of the COVID-19 disease. Thus, the identification of a prognostic biomarker that forecasts the condition of SARS-CoV-2 patients to develop a severe form of the disease could enable the clinicians for more efficient patient triage and treatment. In this regard, the present review describes the role of selected biomolecules that are crucially involved in the immune-pathogenesis of SARS-CoV-2 infection such as hyper-immune responsiveness, bradykinin storm and vascular leakage assuming these may serve as an effective prognostic biomarker in COVID-19 to understand the outcome of the disease. Based on the review, we also propose the development of a cost-effective SERS-based prognostic biosensor for the detection and quantification of biomolecules for use as a point-of-care system during a disease outbreak.

Indexed as

COVID-19SARS-CoV-2BiomarkersHumansPandemicsBiomarkersACE2BradykininCOVID-19Cytokine stromEndothelial dysfunctionFerritin

Identifiers

PMID34153419
PMCPMC8215377
OpenAlexW3174279413

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.