Evidence map›Paper›PMID 37771620›Full record

ArticleGastroenterology & hepatology2023

New Techniques to Screen for Barrett Esophagus.

Alexandra L Strauss, Gary W Falk

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology & hepatology, 2023. 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
0.3field-weighted citation impact, top 37% 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.

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 citations in OpenAlex.

  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 at 1 institution in 1 country.

Alexandra L StraussDepartment of Medicine, Division of Gastroenterology and Hepatology, University of Pennsylvania Perelman School of Medicine and Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Gary W FalkDepartment of Medicine, Division of Gastroenterology and Hepatology, University of Pennsylvania Perelman School of Medicine and Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Hospital of the University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barrett esophagus (BE) is the only known precursor to esophageal adenocarcinoma (EAC), a cancer that continues to have a poor 5-year survival rate of 20%. Current BE screening strategies aim to detect BE and EAC at early, curable stages, but the majority of patients with EAC are diagnosed outside of BE screening and surveillance programs. Guidelines around the world suggest screening for BE in patients with gastroesophageal reflux disease (GERD) and additional demographic and clinical risk factors using high-definition white-light endoscopy (HDWLE). However, current strategies relying on HDWLE are problematic with high direct and indirect costs, procedural risks, and limitations in patient selection owing to the low sensitivity of GERD as a risk factor for detection of BE. In an effort to address these shortcomings, a variety of other screening strategies are under investigation, including risk prediction algorithms, noninvasive cell collection devices, and other new technologies to make screening more efficient and cost-effective. At this time, only cell collection devices have been integrated into professional guidelines, and clinical implementation of alternatives to endoscopy has lagged. In the future, screening may be personalized using a combination of different screening modalities. This article discusses the current state of BE screening and new approaches that may alter the future of screening.

Indexed as

Barrett esophagusCytospongeesophageal adenocarcinomascreeningsurveillance

Identifiers

PMID37771620
PMCPMC10524417
OpenAlexW4387157580

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.