Evidence map›Paper›PMID 28938903›Full record

ArticleMicrobiome2017

Metagenomic characterization of ambulances across the USA.

Niamh B O'Hara, Harry J Reed, Ebrahim Afshinnekoo, Donell Harvin, Nora Caplan, Gail Rosen, Brook Frye, Stephen Woloszynek, Rachid Ounit, Shawn Levy and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Emerging Priorities for Microbiome Research.Frontiers in microbiology · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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

12 authors at 9 institutions in 1 country.

Niamh B O'HaraJacobs Technion-Cornell Institute, Cornell Tech, New York, NY, USA.
Harry J ReedDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Ebrahim AfshinnekooDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Donell HarvinSUNY Downstate Medical Center, State University of New York, Brooklyn, NY, USA.
Nora CaplanSUNY Downstate Medical Center, State University of New York, Brooklyn, NY, USA.
Gail RosenElectrical and Computer Engineering, Drexel University, Philadelphia, PA, USA.
Brook FryeSchool of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Stephen WoloszynekElectrical and Computer Engineering, Drexel University, Philadelphia, PA, USA.
Rachid OunitDepartment of Computer Science and Engineering, University of California, Riverside, CA, USA.
Shawn LevyHudson Alpha, Huntsville, AL, USA.
Erin ButlerDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. chm2042@med.cornell.edu.
Drexel University · USState University of New York · USWeill Cornell Medicine · USCornell University · USHudsonAlpha Institute for Biotechnology · USJacobs Institute · USNew York Medical College · USUniversity of California, Riverside · USUniversity of Massachusetts Amherst · US

Funding

Defining the role of the RNA modification N6-methyladenosine in the hepatitis C virus lifecycleR01AI125416 · NIAID · DUKE UNIVERSITY · PI Stacy Michelle Horner · 2016 to 2026
$5.5M
NIAID NIH HHS R01 AI125416
6 · The paper itself

Abstract

backgroundMicrobial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this approach in pre-hospital settings, such as ambulances, an important first point-of-contact between patients and hospitals.

resultsWe sequenced 398 samples from 137 ambulances across the USA using shotgun sequencing. We analyzed these data to explore the microbial ecology of ambulances including characterizing microbial community composition, nosocomial pathogens, patterns of diversity, presence of functional pathways and antimicrobial resistance, and potential spatial and environmental factors that may contribute to community composition. We found that the top 10 most abundant species are either common built environment microbes, microbes associated with the human microbiome (e.g., skin), or are species associated with nosocomial infections. We also found widespread evidence of antimicrobial resistance markers (hits ~ 90% samples). We identified six factors that may influence the microbial ecology of ambulances including ambulance surfaces, geographical-related factors (including region, longitude, and latitude), and weather-related factors (including temperature and precipitation).

conclusionsWhile the vast majority of microbial species classified were beneficial, we also found widespread evidence of species associated with nosocomial infections and antimicrobial resistance markers. This study indicates that metagenomics may be useful to characterize the microbial ecology of pre-hospital ambulance settings and that more rigorous testing and cleaning of ambulances may be warranted.

Indexed as

AmbulancesMetagenomeMetagenomicsMicrobial ConsortiaMicrobiotaBacteriaCross InfectionGenome, BacterialHigh-Throughput Nucleotide SequencingHospitalsHumansUnited StatesAmbulanceAntimicrobial resistanceClassificationHospital-acquired infectionsMetagenomicsMicrobial ecologyNosocomial pathogensPre-hospital settingTaxonomyWhole-genome sequencing

Identifiers

PMID28938903
PMCPMC5610413
OpenAlexW2756865313

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.