Evidence map›Paper›PMID 35330309›Full record

ArticleJournal of fungi (Basel, Switzerland)2022

Prevalence of COVID-19 Associated Mucormycosis in a German Tertiary Care Hospital.

Ulrike Scharmann, Frank Herbstreit, Nina Kristin Steckel, Jutta Dedy, Jan Buer, Peter-Michael Rath, Hedda Luise Verhasselt

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Ulrike ScharmannInstitute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany.ORCID 0000-0001-7689-7799
Frank HerbstreitDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Essen, 45122 Essen, Germany.ORCID 0000-0002-4185-0154
Nina Kristin SteckelWest German Cancer Center, Department of Bone Marrow Transplantation, University Hospital Essen, 45122 Essen, Germany.
Jutta DedyPharmacy, University Hospital Essen, 45122 Essen, Germany.
Jan BuerInstitute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany.
Peter-Michael RathInstitute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany.
Hedda Luise VerhasseltInstitute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany.
University of Duisburg-Essen · DEEssen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to Coronavirus disease (COVID-19) a new group of patients at risk emerged with COVID-19-associated mucormycosis (CAM). Systematic studies, evaluating the prevalence of CAM are missing. To assess CAM prevalence in a tertiary care hospital in Germany, we applied direct microscopy, fungal culture and quantitative realtime in-house PCR targeting Mucorales-specific fragments of 18S and 28S rRNA on respiratory specimens of 100 critically ill COVID-19 patients. Overall, one Mucorales-PCR positive bronchoalevolar lavage was found whereas direct microscopy and fungal culture were negative in all cases. We conclude that a routine screening for CAM in Germany is not indicated.

Indexed as

COVID-19fungal infectionMucorales qPCRmucormycosisSARS-CoV-2

Identifiers

PMID35330309
PMCPMC8953274
OpenAlexW4220654675

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.