Evidence map›Paper›PMID 37663088›Full record

ArticleOpen forum infectious diseases2023

The Utility of Metagenomic Next-Generation Sequencing (mNGS) in the Management of Patients With Bronchiectasis: A Single-Center Retrospective Study of 93 Cases.

Hui Zhang, Dongfeng Shen, Jiaqi Zhou, Qingyue Yang, Ying Ying, Na Li, Linfeng Cao, Wenmin Wang, Xiaolong Ma

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  11. Microbiome and its role in bronchiectasis.Therapeutic advances in respiratory disease
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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 at 2 institutions in 1 country.

Hui ZhangDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.
Dongfeng ShenDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.
Jiaqi ZhouDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.
Qingyue YangBiological Medicine Research and Development Center, Yangtze Delta of Zhejiang, Hangzhou, Zhejiang, China.
Ying YingDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.
Na LiDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.
Linfeng CaoDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.
Wenmin WangBiological Medicine Research and Development Center, Yangtze Delta of Zhejiang, Hangzhou, Zhejiang, China.
Xiaolong MaDepartment of Respiratory Medicine, The First Hospital of Jiaxing (the Affiliated Hospital of Jiaxing University), The Key Laboratory of Precision Therapy for Lung Cancer, Jiaxing, Zhejiang, China.ORCID https://orcid.org/0009-0005-9516-9523
Jiaxing University · CNZhejiang Medicine (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bronchiectasis is a chronic inflammatory respiratory disease mainly caused by pathogenic infections. However, standard methods of pathogen detection show prolonged cycle durations and unsatisfactory sensitivity and detection rates. Macrogenomic next-generation sequencing (mNGS) emerges as a promising technique for swift, effective, and unbiased pathogen detection and subsequent data interpretation. Methods: Here, a retrospective analysis of 93 patients with suspected bronchiectasis was performed to assess the clinical applicability of mNGS. Bronchoalveolar alveolar lavage fluid (BALF) samples were collected from these subjects, followed by standard assays and mNGS separately. The turnaround time, detection rate, and pathogen identification using mNGS were compared with those of standard methods. Results: mNGS identified a greater number of bacteria (72 vs 16), fungi (26 vs 19), and viruses (14 vs 0) than standard methods. Specifically, the commonly identified bacteria were Conclusions: Collectively, these findings suggest that mNGS has the potential to improve the diagnosis and treatment of bronchiectasis patients by enabling rapid and precise pathogen detection, which can lead to timely and effective treatment strategies.

Indexed as

bronchiectasisbronchoalveolar alveolar lavage fluidmacrogenomic next-generation sequencingpathogens

Identifiers

PMID37663088
PMCPMC10470666
OpenAlexW4385725741

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.