Evidence map›Paper›PMID 33777827›Full record

ArticleFrontiers in cellular and infection microbiology2021

Application of Metagenomic Next-Generation Sequencing in the Diagnosis of Pulmonary Infectious Pathogens From Bronchoalveolar Lavage Samples.

Yuqian Chen, Wei Feng, Kai Ye, Li Guo, Han Xia, Yuanlin Guan, Limin Chai, Wenhua Shi, Cui Zhai, Jian Wang and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07626073 (h Can Provide the Detection Results of Pathogen Type and Resistant Gene. This Study is a Prospective Multi Centers Study to Explore Using the New Diagnostic Tool of " RPIP " and the Different Detection Methods of Next Generation Sequencing and Multiplex PC R in Patients With Pneumonia in ICU. Further Compare the Difference of Pathogen Identification and Clinical Impact by Different Diagnostic Methods.), which is not on this map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 1% 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.

NCT07626073 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

h Can Provide the Detection Results of Pathogen Type and Resistant Gene. This Study is a Prospective Multi Centers Study to Explore Using the New Diagnostic Tool of " RPIP " and the Different Detection Methods of Next Generation Sequencing and Multiplex PC R in Patients With Pneumonia in ICU. Further Compare the Difference of Pathogen Identification and Clinical Impact by Different Diagnostic Methods.

Typeobservational_patient_registrySponsorChina Medical University HospitalRan2023 to 2028Enrolled200ConditionsRespiratory Pathogens
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 1 synthesis or guideline pooled it, 155 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. PolymicrobialClinical case reports · 2026
    Article
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  8. Confronting the "lethal duo" in the ICU: early identification ofFrontiers in cellular and infection microbiology · 2026
    Observational
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  11. Review
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  17. Cross-sectional Study: Diagnostic Accuracy of Next-generation Sequencing in a Tertiary Care Intensive Care Unit.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  18. Article
  19. Article
  20. Article

39 more citing papers are in PubMed but not listed here.

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

16 authors at 2 institutions in 1 country.

Yuqian ChenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wei FengDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Kai YeMinistry of Education Key Lab for Intelligent, Networks and Networks Security, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Li GuoMinistry of Education Key Lab for Intelligent, Networks and Networks Security, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China.
Han XiaDepartment of Research and Development, Hugobiotech Co., Ltd., Beijing, China.
Yuanlin GuanDepartment of Research and Development, Hugobiotech Co., Ltd., Beijing, China.
Limin ChaiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenhua ShiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Cui ZhaiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jian WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xin YanDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qingting WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Qianqian ZhangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Cong LiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Pengtao LiuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Manxiang LiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomic next-generation sequencing (mNGS) is a powerful method for pathogen detection. In this study, we assessed the value of mNGS for bronchoalveolar lavage (BAL) samples in the diagnosis of pulmonary infections. Methods: From February 2018 to April 2019, BAL samples were collected from 235 patients with suspected pulmonary infections. mNGS and microbial culture were performed to evaluate the effectiveness of mNGS in pulmonary infection diagnosis. Results: We employed mNGS to evaluate the alpha diversity, results suggesting that patients with confirmed pathogens had a lower microbial diversity index compared to that of patients with uncertain pathogens. For the patients admitted to the respiratory intensive care unit (RICU) or on a ventilator, they experienced a lower diversity index than that of the patients in the general ward or not on a ventilator. In addition, mNGS of BAL had a diagnostic sensitivity of 88.89% and a specificity of 14.86% in pulmonary infection, with 21.16% positive predictive value (PPV) and 83.87% negative predictive value (NPV). When rare pathogens were excluded, the sensitivity of mNGS decreased to 73.33%, and the specificity increased to 41.71%. For patients in the simple pulmonary infection group and the immunocompromised group, the main infection types were bacterial infection (58.33%) and mixed-infection (43.18%). Furthermore, mNGS had an advantage over culture in describing polymicrobial ecosystem, demonstrating the microbial distribution and the dominant strains of the respiratory tract in patients with different underlying diseases. Conclusions: The study indicated that mNGS of BAL samples could provide more accurate diagnostic information in pulmonary infections and demonstrate the changes of respiratory microbiome in different underlying diseases. This method might play an important role in the clinical use of antimicrobial agents in the future.

Indexed as

EcosystemMetagenomicsBronchoalveolar LavageHigh-Throughput Nucleotide SequencingHumansSensitivity and Specificitybronchoalveolar lavage fluid (BALF)diagnosticetiological culturemetagenomic next-generation sequencing (mNGS)pulmonary infection

Identifiers

PMID33777827
PMCPMC7991794
OpenAlexW3133656029

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Registered trials

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.