Evidence map›Paper›PMID 23647218›Full record

ArticleSurgical infections2013

Examination with next-generation sequencing technology of the bacterial microbiota in bronchoalveolar lavage samples after traumatic injury.

Ryan M Huebinger, Ming-Mei Liu, Scot E Dowd, Fernando A Rivera-Chavez, John Boynton, Curtis Carey, Kenneth Hawkins, Christian T Minshall, Steven E Wolf, Joseph P Minei and 1 more

Abstract read
In one paragraph

Article in Surgical infections, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Article
  2. A common microbial signature is present in the lower airways of interstitial lung diseases including sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2018
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

11 authors.

Ryan M HuebingerDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9160, USA. Ryan.Huebinger@utsouthwestern.edu
Ming-Mei Liu
Scot E Dowd
Fernando A Rivera-Chavez
John Boynton
Curtis Carey
Kenneth Hawkins
Christian T Minshall
Steven E Wolf
Joseph P Minei
Robert C Barber

Funding

NORTH AND CENTRAL TEXAS CTSA FOR PEDIATRIC RESEARCHUL1RR024982 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$27.9M
NCRR NIH HHS UL1 RR024982
6 · The paper itself

Abstract

backgroundWe examined the microbiota of bronchoalveolar lavage (BAL) samples with next-generation sequencing (NGS) technology to determine whether its results correlate with those of standard culture methods or affect patient outcome or both.

methodsWe collected BAL samples in the surgical intensive care unit (SICU) as part of the standard of care for intubated individuals who had a Clinical Pulmonary Infection Score (CPIS)≥6 points. A portion of the BAL fluid was sequenced for the 16S region of ribosomal deoxyribonucleic acid (rDNA) with the Roche 454 FLX Titanium sequencer. Sequences were analyzed through a data-analysis pipeline to identify the appropriate taxonomic designation (∼species) of each 16s sequence. The bacterial microbiota of each BAL sample was compared with the bacteria identified in the sample through standard culture methods. Correlations between the taxonomic diversity of the microbiota and clinical outcome were examined through linear regression and Pearson correlation.

resultsBronchoalveolar lavage samples from 12 individuals in the SICU who had a CPIS≥6 points were examined through 454 pyrosequencing. The number of phylotypes (∼species) in the samples ranged from 15 to 129. The number of phyla in the BAL samples ranged from 3 to 14. There was little correlation between the bacteria identified by NGS and those identified with standard culture methods. The same predominant bacterial strain was identified by both culture and sequencing in only a single sample. The correlation between patient days on a ventilator and the number of species in BAL samples was significant (r=0.7435, p=0.0056; r2=0.5528).

conclusionsIncreasing diversity of the bacterial microbiota in BAL samples correlates with the duration of mechanical ventilation. Bacteria identified through standard culture methods were not well correlated with the findings of NGS.

Indexed as

AdolescentAdultBacteriaBronchoalveolar Lavage FluidCritical CareDNA, BacterialFemaleHumansLinear ModelsMaleMiddle AgedMolecular TypingRespiration, ArtificialRNA, Ribosomal, 16SSequence Analysis, DNAWounds and InjuriesDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID23647218
PMCPMC3689187

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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.