Evidence map›Paper›PMID 35488253›Full record

ArticleBMC infectious diseases2022

Diagnostic value of metagenomic next-generation sequencing of bronchoalveolar lavage fluid for the diagnosis of suspected pneumonia in immunocompromised patients.

Pengcheng Lin, Yi Chen, Shanshan Su, Wengang Nan, Lingping Zhou, Ying Zhou, Yuping Li

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 51 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Pengcheng LinDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai, Wenzhou, Zhejiang, 325015, People's Republic of China.
Yi ChenDepartment of Infectious Diseases, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, Zhejiang, China.
Shanshan SuDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai, Wenzhou, Zhejiang, 325015, People's Republic of China.
Wengang NanDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai, Wenzhou, Zhejiang, 325015, People's Republic of China.
Lingping ZhouDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai, Wenzhou, Zhejiang, 325015, People's Republic of China.
Ying ZhouDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai, Wenzhou, Zhejiang, 325015, People's Republic of China.
Yuping LiDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai, Wenzhou, Zhejiang, 325015, People's Republic of China. wzliyp@163.com.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

the Project of National Natural Science Foundation of China 81970066the Project of Wenzhou Science & Technology Bureau Y20210144
6 · The paper itself

Abstract

backgroundTo evaluate the diagnostic value of metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid (BALF) in immunocompromised patients for the diagnosis of suspected pneumonia in comparison with that of conventional microbiological tests (CMTs).

methodsSixty-nine immunocompromised patients with suspected pneumonia received both CMTs and mNGS of BALF were analyzed retrospectively. The diagnostic value was compared between CMTs and mNGS, using the clinical composite diagnosis as the reference standard.

resultsSixty patients were diagnosed of pneumonia including fifty-two patients with identified pathogens and eight patients with probable pathogens. Taking the composite reference standard as a gold standard, 42 pathogens were identified by CMTs including nine bacteria, 17 fungi, 8 virus, 6 Mycobacterium Tuberculosis, and two Legionella and 19(45%) of which were detected by BALF culture. As for mNGS, it identified 76 pathogens including 20 bacteria, 31 fungi, 14 virus, 5 Mycobacterium Tuberculosis, four Legionella and two Chlamydia psittaci. The overall detection rate of mNGS for pathogens were higher than that of CMTs. However, a comparable diagnostic accuracy of mNGS and CMTs were found for bacterial and viral infections. mNGS exhibited a higher diagnostic accuracy for fungal detection than CMTs (78% vs. 57%, P < 0.05), which mainly because of the high sensitivity of mNGS in patients with Pneumocystis jirovecii pneumonia (PJP) (100% vs. 28%, P < 0.05). Nineteen patients were identified as pulmonary co-infection, mNGS test showed a higher detection rate and broader spectrum for pathogen detection than that of CMTs in co-infection. Moreover, Pneumocystis jirovecii was the most common pathogen in co-infection and mNGS have identified much more co-pathogens of PJP than CMTs.

conclusionsmNGS of BALF improved the microbial detection rate of pathogens and exhibited remarkable advantages in detecting PJP and identifying co-infection in immunocompromised patients.

Indexed as

CoinfectionMycobacterium tuberculosisPneumonia, PneumocystisVirusesBronchoalveolar Lavage FluidDNA VirusesHigh-Throughput Nucleotide SequencingHumansImmunocompromised HostRetrospective StudiesSensitivity and SpecificityBronchoalveolar lavage fluidConventional microbiological testsDiagnostic performanceImmunocompromisedMetagenomic next-generation sequencing

Identifiers

PMID35488253
PMCPMC9052728
OpenAlexW4225261234

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.