ReviewInfectious disorders drug targets2025
Mucormycosis and COVID-19: Unraveling the Interplay of Fungal Infection in a Global Health Crisis: An Overview.
Review in Infectious disorders drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
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Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The healthcare system has been greatly affected by the COVID-19 pandemic, resulting in an increase in secondary and co-infections among patients. Factors like pulmonary damage and weakened immune systems make patients more susceptible to fungal infections. Mucormycosis, an opportunistic fungal infection, prospers in environments with limited oxygen, and elevated glucose levels due to conditions such as diabetes and steroid use, as well as in acidic environments from metabolic acidosis and diabetic ketoacidosis, where it demonstrates heightened germination ability. Recognizing these complications is critical to minimize harm to patients. The insights gained from this review can improve our understanding of how fungal infections develop in connection to COVID-19, leading to better predictive algorithms, tailored care plans, enhanced antifungal treatments, quicker diagnostics, and improved management strategies.
Indexed as
Identifiers
39484771What OpenQuestion holds
Registered trials
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.