Evidence map›Paper›PMID 29491399›Full record

ArticleClinical and translational gastroenterology2018

Barrett's esophagus is associated with a distinct oral microbiome.

Erik J Snider, Griselda Compres, Daniel E Freedberg, Marla J Giddins, Hossein Khiabanian, Charles J Lightdale, Yael R Nobel, Nora C Toussaint, Anne-Catrin Uhlemann, Julian A Abrams

Abstract read
In one paragraph

Article in Clinical and translational gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Trial
  2. Article
  3. Screening for Barrett's esophagus and esophageal adenocarcinoma: recent advances and next steps.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2026
    Review
  4. Article
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  9. The oral-gut microbiome axis in health and disease.Nature reviews. Microbiology · 2024
    Review
  10. Article
  11. The Salivary Microbiome and Predicted Metabolite Production Are Associated with Barrett's Esophagus and High-Grade Dysplasia or Adenocarcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Erik J SniderDepartment of Medicine, Oregon Health Sciences University, Portland, OR, USA.
Griselda CompresDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Daniel E FreedbergDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Marla J GiddinsDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Hossein KhiabanianRutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.
Charles J LightdaleDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Yael R NobelDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Nora C ToussaintNew York Genome Center, New York, NY, USA.
Anne-Catrin UhlemannDepartment of Medicine, Columbia University Medical Center, New York, NY, USA.
Julian A AbramsDepartment of Medicine, Columbia University Medical Center, New York, NY, USA. ja660@cumc.columbia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe esophageal microbiome is composed of predominantly oral flora and is altered in reflux-related conditions including Barrett's esophagus (BE). Changes to the esophageal microbiome may be reflected in the oral cavity. Assessing the oral microbiome thus represents a potential non-invasive method to identify patients with BE.

methodsPatients with and without BE undergoing upper endoscopy were prospectively enrolled. Demographics, clinical data, medications, and dietary intake were assessed. 16S rRNA gene sequencing was performed on saliva samples collected prior to endoscopy. Taxonomic differences between groups were assessed via linear discriminant analysis effect size (LEfSe). Logit models were used to develop microbiome signatures to distinguish BE from non-BE, assessed by area under the receiver operating curve (AUROC).

resultsA total of 49 patients were enrolled (control = 17, BE = 32). There was no significant difference in alpha diversity comparing all BE patients vs. CONTROLS: At the phylum level, the oral microbiome in BE patients had significantly increased relative abundance of Firmicutes (p = 0.005) and decreased Proteobacteria (p = 0.02). There were numerous taxonomic differences in the oral microbiome between BE and controls. A model including relative abundance of Lautropia, Streptococcus, and a genus in the order Bacteroidales distinguished BE from controls with an AUROC 0.94 (95% CI: 0.85-1.00). The optimal cutoff identified BE patients with 96.9% sensitivity and 88.2% specificity.

conclusionsThe oral microbiome in BE patients was markedly altered and distinguished BE with relatively high accuracy. The oral microbiome represents a potential screening marker for BE, and validation studies in larger and distinct populations are warranted.

Identifiers

PMID29491399
PMCPMC5862155

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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.