Evidence map›Paper›PMID 35884487›Full record

ReviewCancers2022

Prognostic, Diagnostic and Predictive Biomarkers in the Barrett's Oesophagus-Adenocarcinoma Disease Sequence.

Darragh O'Dowd, Jacintha O'Sullivan, Simone Marcone

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. 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
0.2field-weighted citation impact, top 47% 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. 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

3 authors at 1 institution in 1 country.

Darragh O'DowdDepartment of Surgery, Trinity Translational Medicine Institute, Trinity St. James's Cancer Institute, Trinity College Dublin, St. James's Hospital, D08 W9RT Dublin, Ireland.
Jacintha O'SullivanDepartment of Surgery, Trinity Translational Medicine Institute, Trinity St. James's Cancer Institute, Trinity College Dublin, St. James's Hospital, D08 W9RT Dublin, Ireland.
Simone MarconeDepartment of Surgery, Trinity Translational Medicine Institute, Trinity St. James's Cancer Institute, Trinity College Dublin, St. James's Hospital, D08 W9RT Dublin, Ireland.ORCID 0000-0001-5516-4000
Trinity College Dublin · IE

Funding

Health Research Board MRCG-2018-24
6 · The paper itself

Abstract

Oesophageal adenocarcinoma (OAC) incidence has increased dramatically in the developed world, yet outcomes remain poor. Extensive endoscopic surveillance programs among patients with Barrett's oesophagus (BO), the precursor lesion to OAC, have aimed to both prevent the development of OAC via radiofrequency ablation (RFA) and allow earlier detection of disease. However, given the low annual progression rate and the costs of endoscopy/RFA, improvement is needed. Prognostic biomarkers to stratify BO patients based on their likelihood to progress would enable a more targeted approach to surveillance and RFA of high-risk precursor lesions, improving the cost-risk-benefit ratio. Similarly, diagnostic biomarkers for OAC could enable earlier diagnosis of disease by allowing broader population screening. Current standard treatment for locally advanced OAC includes neoadjuvant chemotherapy (+/- radiotherapy) despite only a minority of patients benefiting from neoadjuvant treatment. Accordingly, biomarkers predictive of response to neoadjuvant therapy could improve patient outcomes by reducing time to surgery and unnecessary toxicity for the patients who would have received no benefit from the therapy. In this mini-review, we will discuss the emerging biomarkers which promise to dramatically improve patient outcomes along the BO-OAC disease sequence.

Indexed as

Barrett’s oesophagusbiomarkersneoadjuvant treatmentoesophageal adenocarcinomascreening

Identifiers

PMID35884487
PMCPMC9315596
OpenAlexW4285596955

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.