Evidence map›Paper›PMID 41424757›Full record

ArticleCase reports in infectious diseases2025

Aiah M Khateb, Fadwa S Alofi, Abdullah Z Almutairi, Mohammad A Turkistani, Ziab Z Alahmadey, Hessa A Al-Sharif, Esam I Azhar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Case reports in infectious diseases, 2025. 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. Epidemiological Characteristics of ClinicalJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Case reports in infectious diseases · 2025
    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.

Aiah M KhatebDepartment of Clinical Laboratory Sciences, Collage of Applied Medical Science, Taibah University, P.O. Box 344, Madina, 42353, Saudi Arabia, taibahu.edu.sa.ORCID https://orcid.org/0000-0002-7806-8748
Fadwa S AlofiDepartment of Infectious Diseases Department, King Fahad Hospital, P.O. Box 3177, Almadinah Almunawwarah, Saudi Arabia, kfmc.med.sa.
Abdullah Z AlmutairiDepartment of Microbiology Laboratory, King Fahad Hospital, P.O. Box 3177, Almadinah Almunawwarah, Saudi Arabia, kfmc.med.sa.
Mohammad A TurkistaniDepartment of Microbiology Laboratory, King Fahad Hospital, P.O. Box 3177, Almadinah Almunawwarah, Saudi Arabia, kfmc.med.sa.
Ziab Z AlahmadeyDepartment of Clinical Laboratory, Ohud Hospital, Ministry of Health, Madinah, Saudi Arabia, moh.gov.sa.
Hessa A Al-SharifSpecial Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21362, Saudi Arabia, kau.edu.sa.
Esam I AzharSpecial Infectious Agents Unit-BSL3, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21362, Saudi Arabia, kau.edu.sa.ORCID https://orcid.org/0000-0002-1736-181X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) has been associated with invasive fungal infection. Several COVID-19 cases were complicated due to coinfection with Case Presentation: A male patient presented with fever, cough, severe shortness of breath, and abdominal pain that persisted for a week. The patient was admitted to the ICU. The patient was diabetic and hypertensive, and COVID-19 pneumonia was confirmed. The patient became septic, and his blood culture was positive for Conclusions: Invasive fungal infections are characterized by high mortality. Early diagnosis to the species level is essential for successful treatment.

Indexed as

Aspergillus tubingensiscase reportCOVID-19infectionsresistance

Identifiers

PMID41424757
PMCPMC12714113

What OpenQuestion holds

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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.