Evidence map›Paper›PMID 40370518›Full record

ReviewScientifica2025

Diagnostic Challenges in Fungal Coinfections Associated With Global COVID-19.

Ariyo Shahin Jafari, Amir Sasan Mozaffari Nejad, Hossein Faraji, Ahmed S Abdel-Moneim, Saeme Asgari, Hakime Karami, Ali Kamali, Ali Asghar Kheirkhah Vakilabad, Ali Habibi, Motahareh Faramarzpour

Abstract readReview
In one paragraph

Review in Scientifica, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Rapid and simultaneous detection ofFrontiers in cellular and infection microbiology · 2026
    Article
  4. Article
  5. Article
  6. 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

10 authors.

Ariyo Shahin JafariDepartment of Medical Parasitology and Virology, Sechenov University, Moscow, Russia.ORCID https://orcid.org/0000-0001-7473-7468
Amir Sasan Mozaffari NejadBio Environmental Health Hazards Research Center, Jiroft University of Medical Sciences, Jiroft, Iran.ORCID https://orcid.org/0000-0003-3565-3020
Hossein FarajiTropical and Communicable Diseases Research Center, Iranshahr University of Medical Sciences, Iranshahr, Iran.
Ahmed S Abdel-MoneimDepartment of Microbiology and Immunology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman.
Saeme AsgariDepartment of Biochemistry and Biophysics, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID https://orcid.org/0000-0002-6851-6391
Hakime KaramiUniversal Scientific Education and Research Network (USERN) JMU Office, Jiroft University of Medical Sciences, Jiroft, Iran.
Ali KamaliSchool of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran.
Ali Asghar Kheirkhah VakilabadSchool of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran.
Ali HabibiDepartment of Accounting and Management, Islamic Azad University, Pardis Branch, Pardis, Iran.
Motahareh FaramarzpourBio Environmental Health Hazards Research Center, Jiroft University of Medical Sciences, Jiroft, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early diagnosis of opportunistic infections is a critical concern for patient care worldwide, particularly in the context of the COVID-19 pandemic. This review examines the challenges and advancements in the management and early diagnosis of opportunistic fungal infections, which have become increasingly prominent during the pandemic. Using multiple sources, including curated databases such as PubMed and Scopus, as well as Google Scholar for broader literature searches, we systematically reviewed studies on COVID-19-associated fungal infections, with a focus on candidiasis, mucormycosis, and aspergillosis. The inclusion criteria encompassed peer-reviewed articles, clinical case reports, and cohort studies that discussed diagnostic methods, clinical outcomes, and treatment responses. Data were systematically extracted and analyzed to identify key trends and gaps in current diagnostic practices. Given the significance of opportunistic fungal infections-particularly the selected species-this review provides a comprehensive analysis of diagnostic challenges and advancements in the context of COVID-19 and beyond. Currently, there is no definitive strategy for effectively addressing these opportunistic pathogens, highlighting the need for continued research and innovation. Despite advancements in medical technology, opportunistic fungal infections continue to pose significant challenges to early and accurate diagnosis. The COVID-19 pandemic has exacerbated these challenges, with secondary fungal infections contributing to increased morbidity and mortality rates. This review highlights the complexities of diagnosing fungal coinfections and emphasizes the urgent need for improved diagnostic strategies. Enhancing the early and accurate detection of these infections is critical for effective patient management, particularly during viral pandemics. Addressing the challenges outlined in this review requires innovative diagnostic approaches to improve patient outcomes and reduce the burden of opportunistic infections on global healthcare systems.

Indexed as

COVID-19fungal coinfectionsintensive care units (ICUs)invasive fungal infections (IFIs)opportunistic infectionsSARS-CoV-2

Identifiers

PMID40370518
PMCPMC12077979

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.