Evidence map›Paper›PMID 39253087›Full record

ArticleFrontiers in immunology2024

Metagenomic versus targeted next-generation sequencing for detection of microorganisms in bronchoalveolar lavage fluid among renal transplantation recipients.

Zhaoru Huang, Bingxue Hu, Jinfeng Li, Min Feng, Zhigang Wang, Fengxiang Huang, Huan Xu, Lei Liu, Wenjun Shang

Abstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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.

Zhaoru HuangKidney Transplantation Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Bingxue HuCenter for Infectious Diseases, Vision Medicals Co., Ltd, Guangzhou, China.
Jinfeng LiKidney Transplantation Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Min FengSurgical Intensive Care Unit, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhigang WangKidney Transplantation Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Fengxiang HuangRespiratory Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Huan XuCenter for Infectious Diseases, Vision Medicals Co., Ltd, Guangzhou, China.
Lei LiuKidney Transplantation Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wenjun ShangKidney Transplantation Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomic next-generation sequencing (mNGS), which provides untargeted and unbiased pathogens detection, has been extensively applied to improve diagnosis of pulmonary infection. This study aimed to compare the clinical performance between mNGS and targeted NGS (tNGS) for microbial detection and identification in bronchoalveolar lavage fluid (BALF) from kidney transplantation recipients (KTRs). Methods: BALF samples with microbiological results from mNGS and conventional microbiological test (CMT) were included. For tNGS, samples were extracted, amplified by polymerase chain reaction with pathogen-specific primers, and sequenced on an Illumina Nextseq. Results: A total of 99 BALF from 99 KTRs, among which 93 were diagnosed as pulmonary infection, were analyzed. Compared with CMT, both mNGS and tNGS showed higher positive rate and sensitivity (p<0.001) for overall, bacterial and fungal detection. Although the positive rate for mNGS and tNGS was comparable, mNGS significantly outperformed tNGS in sensitivity (100% vs. 93.55%, p<0.05), particularly for bacteria and virus (p<0.001). Moreover, the true positive rate for detected microbes of mNGS was superior over that of tNGS (73.97% vs. 63.15%, p<0.05), and the difference was also significant when specific for bacteria (94.59% vs. 64.81%, p<0.001) and fungi (93.85% vs. 72.58%, p<0.01). Additionally, we found that, unlike most microbes such as SARS-CoV-2, Conclusion: Although tNGS was inferior to mNGS owing to lower sensitivity and true positive rate in identifying respiratory pathogens among KTRs, both considerably outperformed CMT.

Indexed as

Bronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingKidney TransplantationMetagenomicsAdultAgedBacteriaFemaleFungiHumansMaleMiddle AgedTransplant Recipientskidney transplantationmetagenomics Next-Generation Sequencing (mNGS)pulmonary infectionrespiratory pathogenstargeted next-generation sequencing (tNGS)Torque teno virus

Identifiers

PMID39253087
PMCPMC11381253

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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.