Evidence map›Paper›PMID 27122381›Full record

ArticleJournal of clinical microbiology2016

Use of Shotgun Metagenome Sequencing To Detect Fecal Colonization with Multidrug-Resistant Bacteria in Children.

Heidi Andersen, Natalia Connolly, Hansraj Bangar, Mary Staat, Joel Mortensen, Barbara Deburger, David B Haslam

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  6. Detection ofFrontiers in microbiology · 2023
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  19. Network of microbial and antibiotic interactions drive colonization and infection with multidrug-resistant organisms.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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 at 1 institution in 1 country.

Heidi AndersenDepartment of Pediatric Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA heidi.andersen@cchmc.org david.haslam@cchmc.org.
Natalia ConnollyDepartment of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Hansraj BangarDepartment of Pediatric Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Mary StaatDepartment of Pediatric Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Joel MortensenDepartment of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Barbara DeburgerDepartment of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
David B HaslamDepartment of Pediatric Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA heidi.andersen@cchmc.org david.haslam@cchmc.org.
Cincinnati Children's Hospital Medical Center · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4M
Molecular Epidemiology in Children's Environmental Health Training Program (MECEH)T32ES010957 · NIEHS · UNIVERSITY OF CINCINNATI · PI Kelly J Brunst · 2001 to 2026
$11.1M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
NCATS NIH HHS UL1 TR000077NCATS NIH HHS UL1 TR001425NIDDK NIH HHS P30 DK078392NIEHS NIH HHS T32 ES010957
6 · The paper itself

Abstract

Prevention of multidrug-resistant (MDR) bacterial infections relies on accurate detection of these organisms. We investigated shotgun metagenome sequencing for the detection of methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant Enterococcus (VRE), and MDR Enterobacteriaceae Fecal metagenomes were analyzed from high-risk inpatients and compared to those of low-risk outpatients and controls with minimal risk for a MDR bacterial infection. Principal-component analysis clustered patient samples into distinct cohorts, confirming that the microbiome composition was significantly different between cohorts (P = 0.006). Microbial diversity and relative anaerobe abundance were preserved in outpatients compared to those in controls. Relative anaerobe abundance was significantly reduced in inpatients compared to that in outpatients (P = 0.006). Although the potential for MDR bacteria was increased in inpatients and outpatients compared to that in controls (P < 0.001), there was no difference between inpatients and outpatients. However, 9 (53%) inpatients had colonization with a MDR bacterium that was not identified by culture. Unlike culture, shotgun sequencing quantitatively characterizes the burdens of multiple MDR bacteria relative to all of the microbiota within the intestinal community. We propose consideration of key microbiome features, such as diversity and relative anaerobe abundance, in addition to the detection of MDR bacteria by shotgun metagenome sequencing as a novel method that might better identify patients who are at increased risk of a MDR infection.

Indexed as

Drug Resistance, Multiple, BacterialAdolescentAdultBacterial InfectionsChildChild, PreschoolEnterobacteriaceaeFecesFemaleHumansInfantMaleMetagenomicsMethicillin-Resistant Staphylococcus aureusPilot ProjectsVancomycin-Resistant Enterococci

Identifiers

PMID27122381
PMCPMC4922122
OpenAlexW2342426247

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.