Evidence map›Paper›PMID 41295164›Full record

ArticleJournal of fungi (Basel, Switzerland)2025

A Pragmatic Strategy for Improving Diagnosis of Invasive Candidiasis in UK and Ireland ICUs.

Anjaneya Bapat, Timothy W Felton, Sarah Khorshid, Ignacio Martin-Loeches

Abstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anjaneya BapatKing's College Hospital NHS Foundation Trust, London SE5 9RS, UK.ORCID 0000-0001-6547-7342
Timothy W FeltonRespiratory Academic Group, Division of Immunology, Immunity to Infection and Respiratory Medicine, University of Manchester, Wythenshawe Hospital, Manchester M23 9LT, UK.
Sarah KhorshidPharmacy Department, St. George's University Hospitals NHS Foundation Trust, London SW17 0QT, UK.
Ignacio Martin-LoechesDepartment of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St. James's Hospital, D08 NHY1 Dublin, Ireland.ORCID 0000-0002-5834-4063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive candidiasis (IC) is a life-threatening fungal infection predominantly affecting critically ill patients in intensive care units (ICUs). Despite advances in antifungal therapies, IC remains a diagnostic and therapeutic challenge, with a mortality rate exceeding 40%. The current reliance on blood cultures as the diagnostic gold standard is limited by low sensitivity and prolonged turnaround times, often delaying effective treatment. This often leads to the overuse of empirical antifungal therapies, increasing resistance, healthcare costs, and inconsistent outcomes. To address these issues, this paper introduces a five-step diagnostic strategy developed by an expert panel to optimise IC diagnosis and management. The strategy integrates predictive risk scores, biomarkers, and antifungal susceptibility testing to streamline diagnosis, identify high-risk patients, and promote antifungal stewardship. It also addresses barriers such as resource disparities and variability in clinical practices, offering a practical, standardised strategy for ICUs in the UK and Ireland. The clinical utility of this approach is highlighted through two patient cases. One describes the safe discontinuation of antifungal therapy after a negative (1,3)-β-D-glucan (BDG) assay ruled out IC, reducing unnecessary treatment and adverse effects. The other showcases the use of rapid in-house antifungal susceptibility testing to precisely tailor therapy for a patient with

Indexed as

antifungal resistanceantifungal stewardshipintensive care unitsinvasive candidiasisrapid diagnostics

Identifiers

PMID41295164
PMCPMC12653477

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Registered trials

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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.