Evidence map›Paper›PMID 37780844›Full record

ArticleFrontiers in cellular and infection microbiology2023

Invasive

Mahzad Erami, Shima Aboutalebian, Seyed Jamal Hashemi Hezaveh, Amir Hassan Matini, Mansooreh Momen-Heravi, Amir Hossein Ahsaniarani, Shirin Shafaee Arani, Mohsen Ganjizadeh, Hossein Mirhendi

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Mahzad EramiInfectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Shima AboutalebianDepartment of Medical Parasitology and Mycology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Seyed Jamal Hashemi HezavehDepartment of Medical Parasitology and Mycology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Amir Hassan MatiniDepartment of Pathology and Histology, School of Medicine, Shahid Beheshti Hospital, Kashan University of Medical Sciences, Kashan, Iran.
Mansooreh Momen-HeraviDepartment of Infectious Disease, School of Medicine, Shahid Beheshti Hospital, Kashan University of Medical Sciences, Kashan, Iran.
Amir Hossein AhsaniaraniDepartment of Otorhinolaryngology, School of Medicine, Matini Hospital, Kashan University of Medical Sciences, Kashan, Iran.
Shirin Shafaee AraniDepartment of Pathology and Histology, School of Medicine, Shahid Beheshti Hospital, Kashan University of Medical Sciences, Kashan, Iran.
Mohsen GanjizadehInfectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Hossein MirhendiDepartment of Medical Parasitology and Mycology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Kashan University of Medical Sciences · IRIsfahan University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal rhinosinusitis (IFRS) is a life-threatening infection that can occur in immunocompromised patients, including those with COVID-19. Although Mucorales and

Indexed as

COVID-19FusariosisFusariumAntifungal AgentsHumansSequence Analysis, DNAAntifungal Agentsantifungal susceptibility testingCOVID-19Fusariumimmunocompromisedrhinosinusitis

Identifiers

PMID37780844
PMCPMC10538539
OpenAlexW4386737068

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.