Evidence map›Paper›PMID 42132964›Full record

ReviewCurrent gastroenterology reports2026

The Microbiome and Esophageal Disease: Where Are We Now?

Ping He, Ellen Stein

Abstract readReview
In one paragraph

Review in Current gastroenterology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Ping HeRobert Wood Johnson School of Medicine, Rutgers University, New Brunswick, NJ, USA.
Ellen SteinDivision of Gastroenterology and Hepatology, Robert Wood Johnson School of Medicine, Rutgers University, New Brunswick, NJ, USA. Ellen.stein@rutgers.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe microbiome in the esophagus has been an area of early active investigation. In the past 5 years, advancements in next-generation sequencing and computational analysis have provided a more detailed picture of the esophageal microbiome. This review will examine the most recent advances in the past 5 years on the study of microbiome changes in healthy and diseased esophagus to better understand the link between microbiome and esophageal diseases, potentially leading to new prevention or treatment strategies. RECENT

findingsThe microbiome has a key set of baseline parameters in the usual or non-diseased esophageal lumen. There are measurable changes in the baseline microbiome species of different disease phenotypes including eosinophilic esophagitis, gastroesophageal reflux disease, Barrett's esophagus and achalasia. Some studies suggest that certain microbiome features may even be associated with worse outcomes. Dysbiosis of esophageal microbiome is implicated in various esophageal disorders, including GERD, Barrett's esophagus, EoE, and achalasia. However, confounding factors such as antibiotic use, PPI use, dietary habits, and geographic location influence microbiome variability and make the standardized study of this field challenging. The next phase of research will need to include more focus on larger scale studies with reproducible parameters. As some features of the microbiome are associated with disease progression, there are multiple new avenues of intervention potentially available with an improved understanding of the human esophageal microbiome.

Indexed as

Esophageal DiseasesEsophagusMicrobiotaBarrett EsophagusDysbiosisEosinophilic EsophagitisGastroesophageal RefluxHumansEsophageal diseasesEsophageal microbiomeMicrobiomeMicroorganismsNext generation sequencing

Identifiers

PMID42132964
PMCPMC13176034

What OpenQuestion holds

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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.