Evidence map›Paper›PMID 33553782›Full record

ArticleHeliyon2021

IL-6 and IL-10 as predictors of disease severity in COVID-19 patients: results from meta-analysis and regression.

Sujan K Dhar, Vishnupriyan K, Sharat Damodar, Shashi Gujar, Manjula Das

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 6 pooled it
11.4field-weighted citation impact, top 1% 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

130 citing papers in PubMed, 6 syntheses or guidelines pooled it, 194 citations in OpenAlex.

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70 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 3 institutions in 2 countries.

Sujan K DharBeyond Antibody, InCite Lab, MSMF, 8 Floor MSMC, Bommasandra, Bangalore, India.
Vishnupriyan KTumor Immunology, Mazumdar Shaw Medical Foundation, 8 Floor MSMC, Bommasandra, Bangalore, India.
Sharat DamodarDepartment of Hematology, 7 Floor MSMC, Bommasandra, Bangalore, India.
Shashi GujarRoom, 11J, 5850 College Street, Sir Charles Tupper Medical Building, Dalhousie University, Halifax, Nova Scotia, B3H 1X5, Canada.
Manjula DasTumor Immunology, Mazumdar Shaw Medical Foundation, 8 Floor MSMC, Bommasandra, Bangalore, India.
Mazumdar Shaw Medical Foundation · INDalhousie University · CAMazumdar Shaw Medical Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSARS-CoV-2, an infectious agent behind the ongoing COVID-19 pandemic, induces high levels of cytokines such as IL-1, IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ etc in infected individuals that play a role in the underlying patho-physiology. Nonetheless, exact association and contribution of every cytokine towards COVID-19 pathology remains poorly understood. Delineation of the roles of cytokines during COVID-19 holds the key to efficient patient management in clinics. This study performed a comprehensive meta-analysis to establish association between induced cytokines and COVID-19 disease severity to help in prognosis and clinical care. MAIN

methodsScientific literature was searched to identify 13 cytokines (IL-1β, IL-2, IL-2R, IL-4, IL-5, IL-6, IL-7, IL-8, IL-10, IL-12, IL-17, TNF-α and IFN-γ) from 18 clinical studies. Standardized mean difference (SMD) for selected 6 cytokines IL-2, IL-4, IL-6, IL-10, TNF-α and IFN-γ between severe and non-severe COVID-19 patient groups were summarized using random effects model. A classifier was built using logistic regression model with cytokines having significant SMD as covariates. KEY

findingsOut of the 13 cytokines, IL-6 and IL-10 showed statistically significant SMD across studies synthesized. Classifier with mean values of both IL-6 and IL-10 as covariates performed well with accuracy of ~92% that was significantly higher than accuracy reported in literature with IL-6 and IL-10 as individual covariates. SIGNIFICANCE: Simple panel proposed by us with only two cytokine markers can be used as predictors for fast diagnosis of patients with higher risk of COVID-19 disease deterioration and thus can be managed well for a favourable prognosis.

Indexed as

COVID-19CytokinesLogistic modelsMeta-analysis

Identifiers

PMID33553782
PMCPMC7846230
OpenAlexW3126238650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.