Evidence map›Paper›PMID 41081524›Full record

Trial reportMicrobiology spectrum2025

Novel model to predict risk of invasive fungal infection and fungal prophylaxis timing.

Xinyu Zuo, Xinyuan Ma, Miao Zhang, Richeng Mao, Jiexian Ma

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Xinyu Zuo *Department of Hematology, Huadong Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-4953-288X
Xinyuan Ma *Shanghai Medical College Fudan University, Shanghai, China.ORCID 0009-0006-2858-6957
Miao ZhangDepartment of Hematology, Huadong Hospital, Fudan University, Shanghai, China.
Richeng MaoDepartment of Infectious Diseases, Huashan Hospital Affiliated with Fudan University, Shanghai, China.ORCID 0000-0001-5534-8299
Jiexian MaDepartment of Hematology, Huadong Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-5102-5158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients on immunosuppressive drugs or those who are critically ill are at high risk for invasive fungal infections (IFIs). The assessment of IFI risk and the initiation of prophylaxis in these patients remain unclear. A nomogram model was developed to evaluate clinical and immune indicators in relation to IFI risk and validated by immunocompromised patients. High-risk patients, as identified by the model, were selected for a prospective randomized study to assess the efficacy of the model and timing of fungal prophylaxis initiation. Patients deemed high risk received either fluconazole or a placebo until IFI occurrence or risk downgrade for 90 days. We compared the incidence of IFI and mortality between the two groups. The nomogram, created from a training cohort ( IMPORTANCE: We still lack enough evidence to decide when and how to begin fungal prophylaxis in immunocompromised patients. A model based on immune function indicator is an effective tool for predicting risk of invasive fungal infection (IFI) in immunocompromised patients. Patients were collected to evaluate the performance of the model retrospectively and prospectively. CLINICAL TRIALS: This study is registered with the Chinese Clinical Trial Registry as ChiCTR2400079810.

Indexed as

Antifungal AgentsFluconazoleInvasive Fungal InfectionsAdultAgedFemaleHumansImmunocompromised HostIncidenceMaleMiddle AgedNomogramsProspective StudiesRisk FactorsAntifungal AgentsFluconazoleimmunocompromised patientsinvasive fungal infectionnomogramprophylaxisscoring system

Identifiers

PMID41081524
PMCPMC12584638

What OpenQuestion holds

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Registered trials

None linked

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.