Evidence map›Paper›PMID 38951939›Full record

ArticleJournal of medical case reports2024

Inappropriate treatment of pulmonary aspergillosis caused by Aspergillus flavus in susceptible pediatric patients: a case series.

Neginsadat Hosseinikargar, Hossein Zarrinfar, Seyed Javad Seyedi, Seyedeh Sabereh Mojtahedi

Abstract readCase Reports
In one paragraph

Article in Journal of medical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Neginsadat HosseinikargarStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Hossein ZarrinfarAllergy Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Zarrinfarh@mums.ac.ir.ORCID http://orcid.org/0000-0002-1449-4668
Seyed Javad SeyediDepartment of Pediatrics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyedeh Sabereh MojtahediStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

Mashhad University of Medical Sciences, 991032
6 · The paper itself

Abstract

backgroundPulmonary aspergillosis is a prevalent opportunistic fungal infection that can lead to mortality in pediatric patients with underlying immunosuppression. Appropriate and timely treatment of pulmonary aspergillosis can play a crucial role in reducing mortality among children admitted with suspected infections. CASE PRESENTATION: The present study reports three cases of inappropriate treatment of pulmonary aspergillosis caused by Aspergillus flavus in two Iranian pediatric patients under investigation and one Afghan patient. Unfortunately, two of them died. The cases involved patients aged 9, 1.5, and 3 years. They had been diagnosed with pulmonary disorders, presenting nonspecific clinical signs and radiographic images suggestive of pneumonia. The identification of A. flavus was confirmed through DNA sequencing of the calmodulin (CaM) region.

conclusionA. flavus was the most prevalent cause of pulmonary aspergillosis in pediatric patients. Early diagnosis and accurate antifungal treatment of pulmonary aspergillosis could be crucial in reducing the mortality rate and also have significant potential for preventing other complications among children. Moreover, antifungal prophylaxis seems to be essential for enhancing survival in these patients.

Indexed as

Antifungal AgentsAspergillus flavusPulmonary AspergillosisChildChild, PreschoolFatal OutcomeFemaleHumansInfantIranMaleAntifungal AgentsAntifungalAspergillusPediatric patientsPulmonary aspergillosis

Identifiers

PMID38951939
PMCPMC11218340

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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.