Evidence map›Paper›PMID 33917321›Full record

ReviewInternational journal of molecular sciences2021

Corticosteroids for COVID-19 Therapy: Potential Implications on Tuberculosis.

Radha Gopalaswamy, Selvakumar Subbian

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  12. Association of COVID with Mycosis in General.Infectious disorders drug targets · 2024
    Review
  13. Article
  14. Diverse interactions ofFrontiers in tuberculosis · 2024
    Review
  15. Late Tuberculosis Reactivation After Severe Covid-19.European journal of case reports in internal medicine · 2024
    Article
  16. Article
  17. Review
  18. Article
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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

2 authors at 2 institutions in 2 countries.

Radha GopalaswamyDepartment of Bacteriology, ICMR-National Institute for Research in Tuberculosis, Chennai 600031, India.ORCID 0000-0001-8688-4617
Selvakumar SubbianPublic Health Research Institute at New Jersey Medical School, Rutgers University, 225 Warren Street, Newark, NJ 08854, USA.ORCID 0000-0003-2021-8632
National Institute of Research in Tuberculosis · INRutgers, The State University of New Jersey · US

Funding

Center for Covid Research and Pandemic Preparedness (CCRP2) of Rutgers University 302211
6 · The paper itself

Abstract

On 11 March 2020, the World Health Organization announced the Corona Virus Disease-2019 (COVID-19) as a global pandemic, which originated in China. At the host level, COVID-19, caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), affects the respiratory system, with the clinical symptoms ranging from mild to severe or critical illness that often requires hospitalization and oxygen support. There is no specific therapy for COVID-19, as is the case for any common viral disease except drugs to reduce the viral load and alleviate the inflammatory symptoms. Tuberculosis (TB), an infectious disease caused by

Indexed as

COVID-19 Drug TreatmentAdrenal Cortex HormonesAntitubercular AgentsAntiviral AgentsComorbidityCOVID-19HumansSARS-CoV-2Severity of Illness IndexTuberculosisAdrenal Cortex HormonesAntitubercular AgentsAntiviral AgentsantibodiescoinfectionimmunosuppressioninflammationlatencyMycobacterium tuberculosisreactivationSARS-CoV-2

Identifiers

PMID33917321
PMCPMC8038708
OpenAlexW3150615257

What OpenQuestion 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 OpenQuestion graph.