Evidence map›Paper›PMID 41355980›Full record

Observational studyFrontiers in cellular and infection microbiology2025

Value of plasma metagenomic next-generation sequencing for the diagnosis of invasive aspergillosis: a multicenter-center retrospective study.

Xiaomai Wu, Wei Wang, Liang Xu, Wei Zhou, Jianying Zhou, Hua Zhou

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xiaomai Wu *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wei Wang *Department of Respiratory and Critical Care Medicine, The Affiliated Hospital, Shaoxing University, Shaoxing, China.
Liang XuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wei ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jianying ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hua ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Invasive aspergillosis (IA) is a severe fungal infection. Metagenomic Next Generation Sequencing (mNGS) is abroad and highly sensitive pathogen detection method that can accurately differentiate fungi to the species, and even subspecies level. Methods: To explore the value of plasma mNGSs in the diagnosis of invasive aspergillosis, a retrospective analysis was conducted on the clinical data of 334 patients with findings of Results and discussion: According to the diagnostic criteria for IA, among the 334 patients, there were 4 confirmed cases, 62 probable cases, 134 possible cases, and 134 false-positive cases. All 196 probable and possible cases exhibited risk factors, clinical manifestations, imaging features, and treatment outcomes consistent with

Indexed as

AspergillosisAspergillusHigh-Throughput Nucleotide SequencingMetagenomicsPlasmaAdultAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsYoung Adultaspergillusinvasive aspergillosismicrobial cell free-DNAMNGsplasma

Identifiers

PMID41355980
PMCPMC12679094

What OpenQuestion holds

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Registered trials

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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.