ReviewResearch in microbiology
Fungal infections diagnosis - Past, present and future.
Review in Research in microbiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.
- The impact of antifungal prophylaxis in patients diagnosed with acute leukemias undergoing induction chemotherapy: a systematic review and meta-analysis.Clinical and experimental medicine · 2023Pooled it
- COVID-19-Associated Fungal Co-Infections: Pathogenesis, Diagnostics, Biomarkers, and Therapeutic Strategies.Journal of clinical medicine · 2026Review
- The future of fungal diagnostics: What's next in laboratory testing for invasive fungal infection?Medical mycology · 2026Review
- Tissue distribution of Histoplasma capsulatum in deceased people living with HIV assessed by minimally invasive tissue sampling: An autopsy-based case series in the Brazilian Amazon.PLoS neglected tropical diseases · 2026Observational
- A Novel ConvNeXtV2-MIL Approach for Accurate and Efficient Classification of Microscopic Fungal Morphology.Journal of imaging informatics in medicine · 2026Article
- Prognostic indicators and microbial landscape of post-radiation nasopharyngeal necrosis in nasopharyngeal carcinoma patients.Journal of the Chinese Medical Association : JCMA · 2026Article
- Article
- Global perspective on gaps in fungal diagnostics in low-resource settings: WHO landscape analysis and research priorities for invasive fungal diseases.The Lancet. Microbe · 2026Review
- Unusual gastrointestinal histoplasmosis with jejunal perforation in a 57-year-old patient from Bogotá: Case report.Biomedica : revista del Instituto Nacional de Salud · 2026Article
- Peering Inside the Black Box: Explainable AI to Interpret Advanced Computer Vision Fungal Pathogen Prediction.Scientific reports · 2026Article
- Development and validation of a risk nomogram model for predicting superficial fungal infections in patients with type 2 diabetes mellitus : a cross-sectional study.BMC infectious diseases · 2026Article
- [Diagnostic Value of Serological Markers and Quantitative Real-Time PCR in Patients With Invasive Candidiasis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- Nanodrugs for Subcutaneous Mycoses: Applications, Antifungal Performance, and Translational Perspectives.Microorganisms · 2026Review
- First Case of Cutaneous Coinfection withDiagnostics (Basel, Switzerland) · 2026Article
- Comparison of positive detection rates between fluorescent staining and traditional KOH wet mount methods in the diagnosis of superficial fungal skin infections and analysis of factors associated with missed diagnosis.Frontiers in medicine · 2026Article
- Article
- A fully integrated sample-to-answer molecular diagnostic platform for rapid identification of four majorFrontiers in microbiology · 2026Article
- Essential oil-based hydrogels for oral candidiasis: preliminary formulation development, antifungal efficacy, and computational analysis via Monte Carlo simulation.Frontiers in cellular and infection microbiology · 2026Article
- Advances in vulvovaginal candidiasis research: a comprehensive review from epidemiology, diagnosis, treatment to resistance mechanisms.Frontiers in microbiology · 2026Review
- Dual-Emission FRET-PCR Outperforms SYBR Green and EvaGreen for Accurate Discrimination of Primary Canine Dermatophytes:Journal of fungi (Basel, Switzerland) · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the scientific advances observed in the recent decades and the emergence of new methodologies, the diagnosis of systemic fungal infections persists as a problematic issue. Fungal cultivation, the standard method that allows a proven diagnosis, has numerous disadvantages, as low sensitivity (only 50% of the patients present positive fungal cultures), and long growth time. These are factors that delay the patient's treatment and, consequently, lead to higher hospital costs. To improve the accuracy and quickness of fungal infections diagnosis, several new methodologies attempt to be implemented in clinical microbiology laboratories. Most of these innovative methods are independent of pathogen isolation, which means that the diagnosis goes from being considered proven to probable. In spite of the advantage of being culture-independent, the majority of the methods lack standardization. PCR-based methods are becoming more and more commonly used, which has earned them an important place in hospital laboratories. This can be perceived now, as PCR-based methodologies have proved to be an essential tool fighting against the COVID-19 pandemic. This review aims to go through the main steps of the diagnosis for systemic fungal infection, from diagnostic classifications, through methodologies considered as "gold standard", to the molecular methods currently used, and finally mentioning some of the more futuristic approaches.
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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.