Evidence map›Paper›PMID 27729357›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2017

A Tissue Systems Pathology Test Detects Abnormalities Associated with Prevalent High-Grade Dysplasia and Esophageal Cancer in Barrett's Esophagus.

Rebecca J Critchley-Thorne, Jon M Davison, Jeffrey W Prichard, Lia M Reese, Yi Zhang, Kathleen Repa, Jinhong Li, David L Diehl, Nirag C Jhala, Gregory G Ginsberg and 8 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Utility of ancillary studies in the diagnosis and risk assessment of Barrett's esophagus and dysplasia.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Review
  10. Review
  11. Article
  12. Article
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  14. Best Practices in Surveillance for Barrett's Esophagus.Gastrointestinal endoscopy clinics of North America · 2021
    Review
  15. Review
  16. Article
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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

18 authors at 1 institution in 1 country.

Rebecca J Critchley-ThorneCernostics, Inc., Pittsburgh, Pennsylvania. rthorne@cernostics.com.
Jon M DavisonDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Jeffrey W PrichardDepartment of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania.
Lia M ReeseCernostics, Inc., Pittsburgh, Pennsylvania.
Yi ZhangCernostics, Inc., Pittsburgh, Pennsylvania.
Kathleen RepaCernostics, Inc., Pittsburgh, Pennsylvania.
Jinhong LiDepartment of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania.
David L DiehlDepartment of Laboratory Medicine, Geisinger Medical Center, Danville, Pennsylvania.
Nirag C JhalaDivision of Gastroenterology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Gregory G GinsbergDivision of Gastroenterology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Maureen DeMarshallDivision of Gastroenterology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Tyler FoxwellDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Blair A JobeEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, Pennsylvania.
Ali H ZaidiEsophageal and Lung Institute, Allegheny Health Network, Pittsburgh, Pennsylvania.
Lucas C DuitsDepartment of Gastroenterology and Hepatology, Academic Medical Centre, Amsterdam, the Netherlands.
Jacques J G H M BergmanDepartment of Gastroenterology and Hepatology, Academic Medical Centre, Amsterdam, the Netherlands.
Anil RustgiDivision of Gastroenterology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Gary W FalkDivision of Gastroenterology, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pittsburgh Medical Center · US

Funding

TissueCypher Testing for Risk Assessment in Barretts EsophagusR44CA192416 · NCI · CERNOSTICS, INC. · PI CRITCHLEY-THORNE, REBECCA · 2015 to 2016
$1.2M
NCI NIH HHS R44 CA192416
6 · The paper itself

Abstract

backgroundThere is a need for improved tools to detect high-grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) in patients with Barrett's esophagus. In previous work, we demonstrated that a 3-tier classifier predicted risk of incident progression in Barrett's esophagus. Our aim was to determine whether this risk classifier could detect a field effect in nondysplastic (ND), indefinite for dysplasia (IND), or low-grade dysplasia (LGD) biopsies from Barrett's esophagus patients with prevalent HGD/EAC.

methodsWe performed a multi-institutional case-control study to evaluate a previously developed risk classifier that is based upon quantitative image features derived from 9 biomarkers and morphology, and predicts risk for HGD/EAC in Barrett's esophagus patients. The risk classifier was evaluated in ND, IND, and LGD biopsies from Barrett's esophagus patients diagnosed with HGD/EAC on repeat endoscopy (prevalent cases, n = 30, median time to HGD/EAC diagnosis 140.5 days) and nonprogressors (controls, n = 145, median HGD/EAC-free surveillance time 2,015 days).

resultsThe risk classifier stratified prevalent cases and non-progressor patients into low-, intermediate-, and high-risk classes [OR, 46.0; 95% confidence interval, 14.86-169 (high-risk vs. low-risk); P < 0.0001]. The classifier also provided independent prognostic information that outperformed the subspecialist and generalist diagnosis.

conclusionsA tissue systems pathology test better predicts prevalent HGD/EAC in Barrett's esophagus patients than pathologic variables. The results indicate that molecular and cellular changes associated with malignant transformation in Barrett's esophagus may be detectable as a field effect using the test. IMPACT: A tissue systems pathology test may provide an objective method to facilitate earlier identification of Barrett's esophagus patients requiring therapeutic intervention. Cancer Epidemiol Biomarkers Prev; 26(2); 240-8. ©2016 AACR.

Indexed as

Precancerous ConditionsRisk AssessmentAdenocarcinomaBarrett EsophagusBiopsyCase-Control StudiesCell Transformation, NeoplasticDisease ProgressionEsophageal NeoplasmsEsophagoscopyEsophagusFemaleFollow-Up StudiesHumansIncidenceMale

Identifiers

PMID27729357
PMCPMC5296366
OpenAlexW2530913056

What OpenQuestion holds

Textmetadata
LicenceTDM
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.