ReviewWorld journal of gastrointestinal pathophysiology2014
Biomarkers of Barrett's esophagus.
Review in World journal of gastrointestinal pathophysiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Advances in the Diagnosis of Barrett's Esophagus.Diagnostics (Basel, Switzerland) · 2026Review
- Article
- The Aberrant Expression of Biomarkers and Risk Prediction for Neoplastic Changes in Barrett's Esophagus-Dysplasia.Cancers · 2024Article
- Molecular biomarkers of progression from Barrett's esophagus to esophageal adenocarcinoma.Frontiers in gastroenterology (Lausanne, Switzerland) · 2023Article
- Molecules involved in the development of Barrett's esophagus phenotype in chronic eosinophilic esophagitis.American journal of physiology. Gastrointestinal and liver physiology · 2022Article
- Current state of prognostication, therapy and prospective innovations for Barrett's-related esophageal adenocarcinoma: a literature review.Journal of gastrointestinal oncology · 2021Review
- Towards screening Barrett's oesophagus: current guidelines, imaging modalities and future developments.Clinical journal of gastroenterology · 2020Review
- Role of Mitochondrial Markers in Improved Detection and Risk-Stratification in Barrett's Esophagus Patients.The Yale journal of biology and medicine · 2019Review
- Challenges in Endoscopic Therapy of Dysplastic Barrett's Esophagus.Current treatment options in gastroenterology · 2019Review
- Barrett's oesophagus: Current controversies.World journal of gastroenterology · 2017Review
- LYN, a Key Gene From Bioinformatics Analysis, Contributes to Development and Progression of Esophageal Adenocarcinoma.Medical science monitor basic research · 2015Article
- Gastroesophageal reflux and congenital gastrointestinal malformations.World journal of gastroenterology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Barrett's esophagus is the strongest risk for esophageal adenocarcinoma (EAC). Metaplasia in patients with BE may progress to dysplasia and then invasive carcinoma. Well-defined diagnostic, progressive, predictive, and prognostic biomarkers are needed to identify the presence of the disease, estimate the risk of malignant transformation, and predict the therapeutic outcome and survival of EAC patients. There are many predictive and prognostic markers that lack substantial validation, and do not allow stratification of patients with gastroesophageal reflux disease in clinical practice for outcome and effectiveness of therapy. In this short review we summarize the current knowledge regarding possible biomarkers, focusing on the pathophysiologic mechanisms to improve prognostic and therapeutic approaches.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.