Evidence map›Paper›PMID 25567106›Full record

ArticleCurrent treatment options in gastroenterology2015

Diagnostic and Management Implications of Basic Science Advances in Barrett's Esophagus.

Meghan Jankowski, Sachin Wani

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Current treatment options in gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03814824 (Volumetric Laser Endomicroscopy With Intelligent Real-time Image Segmentation), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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.

NCT03814824 nacompletednot on this mapstarted 2019, after this paper: background citation

Volumetric Laser Endomicroscopy With Intelligent Real-time Image Segmentation (IRIS): a Multi-center Randomized Prospective Study

TypeinterventionalSponsorNorthwell HealthRan2019 to 2021Enrolled148ConditionsBarrett's Esophagus Without Dysplasia, Barrett's Esophagus With Dysplasia, Barrett's Esophagus With Low Grade Dysplasia, Barrett's Esophagus With High Grade DysplasiaArmsIRIS (Intelligent real-time image segmentation), VLE (Volumetric laser endomicroscopy)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 'Artificial intelligence in Barrett's Esophagus'.Therapeutic advances in gastrointestinal endoscopy
    Review
  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

2 authors at 1 institution in 1 country.

Meghan JankowskiDivision of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Sachin Wani
University of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementBarrett's esophagus (BE) is a well-established premalignant condition for esophageal adenocarcinoma (EAC), a cancer that has increased in the Western world by nearly sixfold over the past three decades and is associated with a dismal 5-year survival rate (<20 %) especially when detected at a symptomatic state. Given the dramatic rise in EAC incidence and poor outcomes, much attention has focused on screening and surveillance in BE with a goal of identifying curable lesions and improving outcomes in patients with EAC. The limitations of current screening and surveillance strategies provide the necessary impetus to improve diagnostic accuracy and risk stratification of patients with BE. Biomarkers have the potential to predict risk of progression to cancer, identify patients most likely to respond to endoscopic eradication therapies, and ultimately influence patient management and outcomes. The goal of identifying such a biomarker or panel of biomarkers ready for clinical application remains elusive. This review highlights the recent advances in the field of biomarkers. It is increasingly being recognized that a single biomarker is suboptimal in accurate clinical risk stratification of individuals at highest risk for progression to cancer and an ideal risk stratification tool should include a panel of biomarkers in conjunction with clinical and endoscopic factors. Finally, we review advances in our screening strategies with use of Cytosponge, transnasal endoscopy, and tethered capsule endomicroscopy and surveillance strategies with use of advanced imaging techniques. Feasibility of these novel technologies for large population screening and surveillance needs to be assessed in future trials.

Identifiers

PMID25567106
OpenAlexW2029965411

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.