Evidence map›Paper›PMID 34570905›Full record

SynthesisJournal of medical virology2022

A systematic review on SARS-CoV-2-associated fungal coinfections.

Shringika Soni, Ramesh Namdeo Pudake, Utkarsh Jain, Nidhi Chauhan

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Fungal coinfection/superinfection in COVID-19 patients in a tertiary hospital in MexicoBiomedica : revista del Instituto Nacional de Salud · 2024
    Article
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  7. Review
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  9. Article
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  12. Article
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  17. Mucormycosis and COVID-19 pandemic: Clinical and diagnostic approach.Journal of infection and public health · 2022
    Review
  18. Article
  19. Article
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

4 authors.

Shringika SoniAmity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India.ORCID 0000-0002-5620-9722
Ramesh Namdeo PudakeAmity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India.
Utkarsh JainAmity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India.ORCID 0000-0003-3901-0153
Nidhi ChauhanAmity Institute of Nanotechnology (AINT), Amity University Uttar Pradesh (AUUP), Noida, India.ORCID 0000-0001-9512-1144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A severe pandemic of Coronavirus Disease (COVID-19) has been sweeping the globe since 2019, and this time, it did not stop, with frequent mutations transforming into virulent strains, for instance, B.1.1.7, B.1.351, and B.1.427. In recent months, a fungal infection, mucormycosis has emerged with more fatal responses and significantly increased mortality rate. To measure the severity and potential alternative approaches against black fungus coinfection in COVID-19 patients, PubMed, Google Scholar, World Health Organization (WHO) newsletters, and other online resources, based on the cases reported and retrospective observational analysis were searched from the years 2015-2021. The studies reporting mucormycosis with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) coinfection and/or demonstrating potential risk factors, such as a history of diabetes mellitus or suppressed immune system were included, and reports published in non-English language were excluded. More than 20 case reports and observational studies on black fungus coinfection in COVID-19 patients were eligible for inclusion. The results indicated that diabetes mellitus, hyperglycemic, and immunocompromised COVID-19 patients with mucormycosis were at a higher risk. We found that it was prudent to assess the potential risk factors and severity of invasive mycosis via standardized diagnostic and clinical settings. Large-scale studies need to be conducted to identify early biomarkers and optimization of diagnostic methods has to be established per population and geographical variation. This will not only help clinicians around the world to detect the coinfection in time but also will prepare them for future outbreaks of other potential pandemics.

Indexed as

CoinfectionCOVID-19Diabetes MellitusHumansHyperglycemiaImmunocompromised HostMucoralesMucormycosisRetrospective StudiesRisk FactorsSARS-CoV-2black fungusCOVID-19diagnosisfungal infectionmucormycosis

Identifiers

PMID34570905
PMCPMC8661750

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.