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Empirical Versus Pre-Emptive Antifungal Therapy in High-Risk Febrile Neutropenic Patients: A Prospective Randomized Study.

2006· article· en· W2557859626 on OpenAlexaff
Catherine Cordonnier, Cécile Pautas, Sébastien Maury, Anne Vekhoff, H. Farhat, Felipe Suárez, Maria Luisa Basile, Françoise Isnard, Lionel Adès, Frederique Kuhnoski, Oumady Reman, S Chehata, Thierry de Revel, Stéphane Leprêtre, Emmanuel Raffoux, Stéphane Bretagne, Michaël Schwarzinger

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineInternal medicineNeutropeniaFebrile neutropeniaMucositisRandomized controlled trialClinical endpointSurgeryChemotherapy

Abstract

fetched live from OpenAlex

Abstract Empirical (E) antifungal therapy (ATF) is a standard of care in febrile neutropenic patients under broad-spectrum antibiotics. However, the safety and cost-effectiveness of the E strategy are challenged, due to better diagnostic methods including galactomannan antigenemia (GM Ag) and efficient therapies for invasive fungal infection (IFI). Previous open studies have evaluated the feasibility of a pre-emptive (PE) strategy where ATF is restricted to patients with clinical symptoms and/or mycological criteria of IFI. This study is the first prospective, randomized trial comparing E vs PE strategy. Objective: The primary objective of the study was to show that a PE strategy was not inferior to a E strategy for overall survival. Patients: 293 adult patients with hematologic malignancies (acute leukemia: 199; lymphoma: 65; others:29), including 91 with autologous stem cell transplant (ASCT) and an expected neutropenia (<500 PMN) of ≥ 10 days following chemotherapy were randomized between E or PE strategy with polyens. All were screened 2/w for GM Ag. E patients were given ATFs in case of persistent or recurrent fever, whatever the accompanying symptoms, while PE patients were given ATFs only in case of pneumonia, severe mucositis, septic shock, sinusitis, or skin lesions evocative of filamentous infection, aspergillus colonization, or positive GM Ag. Methods: This is a multicenter open-label randomized non-inferiority trial. Randomization was stratified according to center, induction vs. consolidation or ASCT, and antifungal prophylaxis. The primary endpoint was the proportion of patients alive either 14 days after recovery from neutropenia or 60 days after inclusion in case of persistent neutropenia or severe complication. Non-inferiority was concluded if survival difference was above the threshold of −8% in intention-to-treat (ITT) and per protocol (PP) analyses. The secondary endpoint was the proportion of patients with IFI (EORTC-MSG definitions). Results: Among the 150 patients of the E group, and the 143 of the PE group, the mean (std) age was 52 (14) y. The mean (std) duration of neutropenia was 21 (11) days (min: 5; max: 69). Survival was not inferior in the PE group (136/143) as compared to the E group (147/150) with a survival difference of −2.9% [95% CI, −6.4% to 0.6%] in ITT (n=293) and −2.9% [95% CI, −6.8% to 0.1%] in PP (n=266) above the threshold of −8%. The IFI-related mortality was not significantly different in the PE group (3/150) and the E group (0/143) (p=0.12). However, significantly more IFI were diagnosed in the PE group (13/143) when compared to the E group (4/150) (p<0.02). The PE patients received significantly less ATFs than the E group (46% v. 66% of patients, p<0.001). Conclusion: A PE strategy based on clinical symptoms and GM Ag did not reduce the overall survival of prolonged neutropenic patients when compared to a E strategy. Although we observed significantly more IFI in the PE than in the E group, this did not translate in a higher fungal-related mortality (Grants: PHRC 2002 AOR02028)

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.288
Teacher spread0.275 · 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 designRandomized trial
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

Citations18
Published2006
Admission routes1
Has abstractyes

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