Evidence map›Paper›PMID 41668736›Full record

ArticleFrontiers in cellular and infection microbiology2025

Metagenomic next-generation sequencing enhances diagnosis of fungal infections in kidney transplant recipients: a retrospective study.

Qin Wang, Handong Ding, Zongyao Hao, Guiyi Liao

Abstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Qin Wang *Department of Pharmacy, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Handong Ding *Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zongyao HaoDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
Guiyi LiaoDepartment of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although fungal infections are relatively rare, they have low detection rates and high mortality rates. The value of metagenomic next-generation sequencing (mNGS) in kidney transplant patients with fungal infections remains insufficiently explored, especially regarding diagnosis and antimicrobial stewardship. Methods: From September 2021 to August 2023, 234 kidney transplant patients were enrolled, with detailed data collected on 66 patients suspected of fungal infections. The pathogen detection performance of mNGS and conventional microbiological tests (CMTs) was compared. The impacts of mNGS and CMTs on treatment adjustment were also assessed. Finally, the value of mNGS in detecting donor-derived infections was investigated. Results: Among 66 patients, 21 fungal species were identified: 18 species detected by mNGS and 10 by CMTs. The overall positive rate of mNGS was significantly higher than culture (90.67% vs. 26.67%), especially for multiple fungal infections (9vs0). mNGS identified more Conclusion: The mNGS technique showed distinct advantages in detecting fungal infections in kidney transplant patients, facilitating informed anti-infection strategies and enhanced graft protection. Moreover, it provides effective identification of fungal infections originating from donor sources.

Indexed as

FungiHigh-Throughput Nucleotide SequencingKidney TransplantationMetagenomicsMycosesTransplant RecipientsAdultFemaleHumansMaleMiddle AgedRetrospective Studiesantibiotic treatmentdonor-derived infectionfungal infectionskidney transplantationmetagenomic next-generation sequencing (mNGS)

Identifiers

PMID41668736
PMCPMC12883835

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