Evidence map›Paper›PMID 32214207›Full record

ArticleScientific reports2020

Comprehensive evaluation of complex polymicrobial specimens using next generation sequencing and standard microbiological culture.

Lisa A Cummings, Daniel R Hoogestraat, Sara L Rassoulian-Barrett, Christopher A Rosenthal, Stephen J Salipante, Brad T Cookson, Noah G Hoffman

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Bridging the gap:Gut microbes · 2026
    Review
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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

7 authors.

Lisa A CummingsDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Daniel R HoogestraatDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Sara L Rassoulian-BarrettDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Christopher A RosenthalDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Stephen J SalipanteDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Brad T CooksonDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA.
Noah G HoffmanDepartments of Laboratory Medicine, University of Washington, Seattle, Washington, USA. ngh2@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal clinical decision-making depends on identification of clinically relevant organisms present in a sample. Standard microbiological culture may fail to identify unusual or fastidious organisms and can misrepresent relative abundance of sample constituents. Culture-independent methods have improved our ability to deconvolute polymicrobial patient samples. We used next-generation 16S rRNA gene sequencing (NGS16S) to determine how often cultivatable organisms in complex polymicrobial samples are not reported by standard culture. Twenty consecutive bronchoalveolar lavage (BAL) samples were plated to standard and additional media; bacteria were identified by NGS16S analysis of DNA extracted directly from samples or from washed culture plates. 96% of organisms identified were cultivable, but only 21% were reported by standard culture, indicating that standard work-up provides an incomplete assessment of microbial constituents. Direct NGS16S correlated well with standard culture, identifying the same predominant organism in 50% of samples. When predominant organisms differed, NGS16S most often detected anaerobes, whose growth is unsupported by standard culture conditions for this specimen. NGS16S identified more organisms per sample and allowed identification of fastidious organisms, while culture was better at capturing organisms when bacterial load was low, and allowed incidental recovery of non-bacterial pathogens. Molecular and culture-based methods together detect more organisms than either method alone.

Indexed as

Bacteria, AnaerobicBronchoalveolar Lavage FluidCoculture TechniquesCoinfectionCulture TechniquesDNA, BacterialHigh-Throughput Nucleotide SequencingHumansMicrobiological TechniquesRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID32214207
PMCPMC7096443

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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.