Evidence map›Paper›PMID 35695488›Full record

ArticleJournal of clinical microbiology2022

Evaluation of Metagenomic and Targeted Next-Generation Sequencing Workflows for Detection of Respiratory Pathogens from Bronchoalveolar Lavage Fluid Specimens.

David C Gaston, Heather B Miller, John A Fissel, Emily Jacobs, Ethan Gough, Jiajun Wu, Eili Y Klein, Karen C Carroll, Patricia J Simner

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
15.3field-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.

NCT06157372 unknown statusnot on this mapstarted 2023, after this paper: background citation

Detection of Pathogen and Antibiotic Resistance Genes by Targeted Next-Generation Sequencing Compared With Metagenomic Next-Generation Sequencing in ICU Patients.

TypeobservationalSponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen UniversityRan2023 to 2024Enrolled20ConditionsInfections, Critical Illness, DiagnosisArmstargeted next-generation sequencing (tNGS)
NCT06181669 completednot on this mapstarted 2024, after this paper: background citation

Pneumonia Direct Pilot

TypeobservationalSponsorDuke UniversityRan2024 to 2025Enrolled173ConditionsPneumonia, Bacterial, Ventilator Associated PneumoniaArmsPathogen and Host Directed testing
3 · Its place in the literature

Who cites it

131 citing papers in PubMed, 188 citations in OpenAlex.

  1. Trial
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  6. Research progress on detection technologies for Mycoplasma pneumoniae.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  7. Application of targeted next-generation sequencing in children with community-acquired pneumonia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
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71 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

9 authors at 1 institution in 1 country.

David C GastonDepartment of Pathology, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.ORCID 0000-0002-7320-5635
Heather B MillerDepartment of Pathology, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.
John A FisselDepartment of Pathology, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.ORCID 0000-0003-2112-8719
Emily JacobsDepartment of Pathology, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.
Ethan GoughDepartment of International Health, Human Nutrition Program, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jiajun WuDepartment of Pediatrics, Biostatistics, Epidemiology and Data Management (BEAD) Core, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.
Eili Y KleinDepartment of Emergency Medicine, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.
Karen C CarrollDepartment of Pathology, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.ORCID 0000-0001-8080-5391
Patricia J SimnerDepartment of Pathology, grid.471401.7grid.21107.35Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA.ORCID 0000-0001-6134-151X
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) workflows applied to bronchoalveolar lavage (BAL) fluid specimens could enhance the detection of respiratory pathogens, although optimal approaches are not defined. This study evaluated the performance of the Respiratory Pathogen ID/AMR (RPIP) kit (Illumina, Inc.) with automated Explify bioinformatic analysis (IDbyDNA, Inc.), a targeted NGS workflow enriching specific pathogen sequences and antimicrobial resistance (AMR) markers, and a complementary untargeted metagenomic workflow with in-house bioinformatic analysis. Compared to a composite clinical standard consisting of provider-ordered microbiology testing, chart review, and orthogonal testing, both workflows demonstrated similar performances. The overall agreement for the RPIP targeted workflow was 65.6% (95% confidence interval, 59.2 to 71.5%), with a positive percent agreement (PPA) of 45.9% (36.8 to 55.2%) and a negative percent agreement (NPA) of 85.7% (78.1 to 91.5%). The overall accuracy for the metagenomic workflow was 67.1% (60.9 to 72.9%), with a PPA of 56.6% (47.3 to 65.5%) and an NPA of 77.2% (68.9 to 84.1%). The approaches revealed pathogens undetected by provider-ordered testing (Ureaplasma parvum, Tropheryma whipplei, severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], rhinovirus, and cytomegalovirus [CMV]), although not all pathogens detected by provider-ordered testing were identified by the NGS workflows. The RPIP targeted workflow required more time and reagents for library preparation but streamlined bioinformatic analysis, whereas the metagenomic assay was less demanding technically but required complex bioinformatic analysis. The results from both workflows were interpreted utilizing standardized criteria, which is necessary to avoid reporting nonpathogenic organisms. The RPIP targeted workflow identified AMR markers associated with phenotypic resistance in some bacteria but incorrectly identified

Indexed as

Communicable DiseasesCOVID-19Bronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingHumansMetagenomicsSARS-CoV-2Workflowdiagnosticslower respiratory tract infectionnext-generation sequencing

Identifiers

PMID35695488
PMCPMC9297812
OpenAlexW4282836707

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.