ArticleMicrobiology spectrum2022
Background Filtering of Clinical Metagenomic Sequencing with a Library Concentration-Normalized Model.
Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed.
- Pathogen detection in central nervous system infections: moving metagenomic sequencing closer to clinical practice.BMC infectious diseases · 2026Article
- Specimen-specific differences in clinical metagenomic sequencing reporting patterns in hospitalized patients: a single-center retrospective observational study.Frontiers in cellular and infection microbiology · 2026Observational
- Case Report: Sequential mNGS captures fatal HSV-1 reactivation after intestinal obstruction-associated ARDS in a 91-year-old.Frontiers in medicine · 2026Article
- Bactericidal and antibiofilm activity of lactic acid bacteria-derived cell free extracts against dairy-associated spoilage and pathogenic bacteria.Frontiers in microbiology · 2026Article
- Beyond the Urogenital Tract, the Role ofDiagnostics (Basel, Switzerland) · 2025Article
- Dielectrophoresis for Isolating Low-Abundance Bacteria Obscured by Impurities in Environmental Samples.Marine biotechnology (New York, N.Y.) · 2025Article
- Detection ofFrontiers in cellular and infection microbiology · 2025Article
- Article
- The impact of bronchoalveolar lavage fluid metagenomics next-generation sequencing on the diagnosis and management of patients with suspected pulmonary infection.Frontiers in cellular and infection microbiology · 2025Article
- An Investigation into Diagnostic Strategies for Central Nervous System Infections Through the Integration of Metagenomic Next-Generation Sequencing and Conventional Diagnostic Methods.Infection and drug resistance · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metagenomic next-generation sequencing (mNGS) can accurately detect pathogens in clinical samples. However, wet-lab contamination constrains mNGS analysis and may result in erroneous interpretation of results. Many existing methods rely on large-scale observational microbiome studies and may not be applicable to clinical mNGS tests. By generation of a pretrained profile of common laboratory contaminants, we developed an mNGS noise-filtering model based on the inverse linear relationship between microbial sequencing reads and sample library concentration, named the background elimination and correction by library concentration-normalized (BECLEAN) model. Its efficacy was evaluated with bacteria- and yeast-spiked samples and 28 cerebrospinal fluid (CSF) specimens. The diagnostic accuracy, precision, sensitivity, and specificity of BECLEAN with reference to conventional methods and diagnosis were 92.9%, 86.7%, 100%, and 86.7%, respectively. BECLEAN led to a dramatic reduction of background noise without affecting the true-positive rate and thus can provide a time-saving and convenient tool in various clinical settings.
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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.