Evidence map›Paper›PMID 34864498›Full record

ReviewJournal de mycologie medicale2022

COVID-19-associated mixed mold infection: A case report of aspergillosis and mucormycosis and a literature review.

Yasmine Benhadid-Brahmi, Samia Hamane, Benjamin Soyer, Alexandre Mebazaa, Alexandre Alanio, Benjamin Chousterman, Stéphane Bretagne, Sarah Dellière

Abstract readCase ReportsReview
In one paragraph

Review in Journal de mycologie medicale, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Leukemia followed by mixed infection with mucormycosis and aspergillosis: A case report and literature review.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Review
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

8 authors.

Yasmine Benhadid-BrahmiUniversité de Paris, Laboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
Samia HamaneUniversité de Paris, Laboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.
Benjamin SoyerUniversité de Paris, FHU Promice, Département d'anesthésie-réanimation, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France; INI-CRCT Network, Nancy, France; INSERM U942, Paris, France.
Alexandre MebazaaUniversité de Paris, FHU Promice, Département d'anesthésie-réanimation, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France; INI-CRCT Network, Nancy, France; INSERM U942, Paris, France.
Alexandre AlanioUniversité de Paris, Laboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France; Institut Pasteur, Université de Paris, CNRS UMR2000, unité de Mycologie Moléculaire, Centre national de Référence Mycoses Invasives et Antifongiques, F-75015 Paris, France.
Benjamin ChoustermanUniversité de Paris, FHU Promice, Département d'anesthésie-réanimation, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France; INI-CRCT Network, Nancy, France; INSERM U942, Paris, France.
Stéphane BretagneUniversité de Paris, Laboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France; Institut Pasteur, Université de Paris, CNRS UMR2000, unité de Mycologie Moléculaire, Centre national de Référence Mycoses Invasives et Antifongiques, F-75015 Paris, France.
Sarah DellièreUniversité de Paris, Laboratoire de Parasitologie-Mycologie, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand-Widal, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France; Institut Pasteur, Université de Paris, CNRS UMR2000, unité de Mycologie Moléculaire, Centre national de Référence Mycoses Invasives et Antifongiques, F-75015 Paris, France. Electronic address: sarah.delliere@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19-associated mold infections have been increasingly reported, and the main entity is COVID-19-associated aspergillosis (CAPA). Similarly, COVID-19-associated mucormycosis has been reported in hematology, and its prevalence is high and has been increasing in the diabetic population in India during the third COVID-19 pandemic wave. Simultaneous infection with Mucorales and Aspergillus is rare and even rarer during COVID-19. Here, we report the case of a previously immunocompetent patient with severe SARS-CoV-2 infection complicated with probable CAPA and mucormycosis co-infection. Specific diagnostic tools for mucormycosis are lacking, and this case highlights the advantages of analyzing blood and respiratory samples using the quantitative polymerase chain reaction to detect these fungi. We further reviewed the literature on mixed Aspergillus/Mucorales invasive fungal diseases to provide an overview of patients presenting with both fungi and to identify characteristics of this rare infection.

Indexed as

AspergillosisCOVID-19MucormycosisAspergillusHumansPandemicsSARS-CoV-2AspergillosisCorticosteroidsCOVID-19Invasive fungal diseaseMucormycosisSARS-CoV-2

Identifiers

PMID34864498
PMCPMC8620017

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.