Evidence map›Paper›PMID 41459164›Full record

ReviewFrontiers in cellular and infection microbiology2025

Epidemiological shifts and advances in research on early diagnosis of invasive fungal infection in critically ill patients.

Yuan Cao, Yun Li, Min Wang, Yiqi Wu, Shaoqing Shi, Chengjin Wang, Zhen Gao, Wenjun Yang, Lu Wang, Hongjun Kang

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Mortality ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. 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

10 authors.

Yuan Cao *Medical School of Chinese PLA, Beijing, China.
Yun Li *General Hospital of Southern Theater Command of PLA, Guangzhou,, China.
Min Wang *Medical School of Chinese PLA, Beijing, China.
Yiqi WuMedical School of Chinese PLA, Beijing, China.
Shaoqing ShiMedical School of Chinese PLA, Beijing, China.
Chengjin WangMedical School of Chinese PLA, Beijing, China.
Zhen GaoMedical School of Chinese PLA, Beijing, China.
Wenjun YangMedical School of Chinese PLA, Beijing, China.
Lu WangDepartment of Critical Care Medicine, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Hongjun KangDepartment of Critical Care Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal infections (IFI) primarily occur in immunocompromised patients, particularly those in intensive care units (ICU). Due to the use of immunosuppressive agents, invasive therapeutic procedures, and advancements in diagnostic technologies, the detection rate of IFI has shown a significant upward trend. This review aims to explore epidemiological changes in the field of IFI, early detection techniques, and the application of artificial intelligence (AI) technologies. We conducted a literature review using PubMed data up to April 2025, focusing on studies related to IFI. Specifically, we focus on three aspects of IFI research: first, the epidemiology of IFI is undergoing significant changes, with

Indexed as

Invasive Fungal InfectionsAntifungal AgentsArtificial IntelligenceCritical IllnessEarly DiagnosisHumansIntensive Care UnitsAntifungal AgentsAspergillosiscandidiasisfungal detectionintensive care unitinvasive fungal infection

Identifiers

PMID41459164
PMCPMC12738355

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.