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Record W4417032522 · doi:10.1111/myc.70135

The Importance of Early Mycological Clearance of Uncomplicated Candidaemia and Its Implications for Clinical Practice

2025· article· en· W4417032522 on OpenAlexaff
Oliver A. Cornely, Matteo Bassetti, Carolina García‐Vidal, Martin Hoenigl, Johan Maertens, Ignacio Martín‐Loeches, Jean-Paul Mira, P. Lewis White

Bibliographic record

VenueMycoses · 2025
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsInstitute of Infection and Immunity
FundersServierShionogiAstellas PharmaDeutsche ForschungsgemeinschaftCidara TherapeuticsDeutsches Zentrum für InfektionsforschungNovo NordiskBundesministerium für Bildung und ForschungMedpaceMundipharma Research LimitedGilead SciencesDaiichi Sankyo EuropeAsahi Kasei Pharma CorporationSanofiPfizer
KeywordsClinical PracticeAntifungalAntifungal drugsInvasive candidiasisCritically illPsychological interventionLimitingHealth care

Abstract

fetched live from OpenAlex

Invasive candidiasis is a life-threatening infection associated with high morbidity, mortality and healthcare costs in both general and critical care settings. Timely diagnosis and adequate antifungal treatment are essential to improving patient outcomes and limiting unnecessary use of healthcare resources. This review explores the relationship between early Candida clearance with antifungal therapy, clinical outcomes, resistance patterns and economic impact. It also evaluates the role of diagnostic markers in facilitating early and accurate identification of candidaemia, enabling more precise and effective clinical management. Special attention is given to the challenges of managing candidaemia in critically ill and neutropenic patients, highlighting the need for tailored and timely interventions in these vulnerable populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.442
Teacher spread0.370 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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