Evidence map›Paper›PMID 41983640›Full record

ReviewMycoses2026

Diagnosis of Mucormycosis: Current Situation, Challenges and Future Prospects.

Yixuan Qu, Yuling Xiao, Lina Liu, Junyan Qu

Abstract readReview
In one paragraph

Review in Mycoses, 2026. 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. Pattern-based clinical recognition of diabetes-associatedFrontiers in cellular and infection microbiology · 2026
    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

4 authors.

Yixuan QuRehabilitation School, Medical College, Nanchang University, Nanchang, China.
Yuling XiaoDepartment of Laboratory Medicine, Clinical Laboratory Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Lina LiuLaboratory of Pathogen Research, West China Hospital, Sichuan University, Chengdu, China.
Junyan QuCenter of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucormycosis, an aggressive fungal infection caused by members of the order Mucorales, progresses rapidly and is associated with high mortality, particularly in immunocompromised hosts such as patients with uncontrolled diabetes, transplant recipients or those with COVID-19-associated immunosuppression. Early diagnosis remains challenging with current clinical methods, yet it is essential to reduce mortality. This review examines the evolution of diagnostic strategies for mucormycosis, ranging from conventional techniques such as histopathology, culture and microscopy to advanced and emerging methods including molecular assays, serological testing, imaging and metabolomics. We also explore the ongoing transition towards integrated, rapid and non-invasive diagnostic platforms that leverage novel biomarkers, portable devices and artificial intelligence. These new technologies have the potential to facilitate early diagnosis, thereby enabling early treatment and reducing the mortality rate of mucormycosis.

Indexed as

MucoralesMucormycosisArtificial IntelligenceBiomarkersCOVID-19Early DiagnosisHumansImmunocompromised HostBiomarkersartificial intelligenceearly diagnosisinvasive fungal diseasemucormycosisnovel diagnostics

Identifiers

PMID41983640
PMCPMC13081770

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.