Evidence map›Paper›PMID 41346360›Full record

ArticleFrontiers in cellular and infection microbiology2025

Targeted next-generation sequencing for respiratory infections in patients with haematological malignancies.

Jiayu Huang, Su Li, Chuanhe Jiang, Luxiang Wang, Zengkai Pan, Zilu Zhang, Jun Zhu, Wei Chen, Xiaoxia Hu

Abstract read
PubMed Full text at PMC Publisher
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 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

9 authors.

Jiayu Huang *State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Su Li *GoBroad Medical Institute of Hematology (Shanghai Center), Liquan Hospital, Shanghai, China.
Chuanhe JiangState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Luxiang WangState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zengkai PanState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zilu ZhangState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun ZhuGoBroad Medical Institute of Hematology (Shanghai Center), Liquan Hospital, Shanghai, China.
Wei ChenDepartment of Pulmonary and Critical Care Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoxia HuState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with haematological malignancies are immunocompromised and prone to respiratory infections, but identification of causative pathogens is challenging. The aim of this study was to analyse the ability of targeted next-generation sequencing (tNGS) to detect pathogens in immunocompromised patients. Methods: tNGS and conventional microbiological tests (CMT) were performed on samples from the respiratory tract of 99 patients with suspected respiratory infections. Metagenomic next-generation sequencing (mNGS) was conducted in parallel in 43 patients. Comparative analysis was conducted using the Pearson χ2 test and Fisher's exact test, as appropriate. Results: The overall microbial detection rates for tNGS were 100% (23/23) in the upper respiratory tract and 96.1% (99/103) in the lower respiratory tract. Microorganism colonization was detected by tNGS in 80.8% (97/120) of cases. The sensitivity of tNGS was approximately 30% higher than that of CMT (87.7% vs. 52.5%; Conclusions: Most immunosuppressed patients are colonized by microorganisms, and require prompt identification of the cause of any infections. tNGS has promising diagnostic potential and offers valuable information for optimizing antibiotic therapy, especially when compared to CMT.

Indexed as

Hematologic NeoplasmsHigh-Throughput Nucleotide SequencingRespiratory Tract InfectionsAdolescentAdultAgedAged, 80 and overBacteriaFemaleHumansImmunocompromised HostMaleMetagenomicsMiddle AgedSensitivity and SpecificityYoung Adultconventional microbiological testsdiagnostic efficiencymetagenomic next-generation sequencingtargeted next-generation sequencingtreatment efficacy

Identifiers

PMID41346360
PMCPMC12672896

What Socratic 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 Socratic graph.