Evidence map›Paper›PMID 34820244›Full record

ArticleCureus2021

Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma.

Juan David Gomez Cifuentes, Mahnur Haider, Madhusudhan R Sanaka, Prabhat Kumar, James Bena, John McMichael, Davendra P Sohal, Siva Raja, Sudish Murthy, Prashanthi N Thota

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 5 institutions in 1 country.

Juan David Gomez CifuentesDepartment of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, USA.
Mahnur HaiderSection of General Internal Medicine, Tulane Medical Center, New Orleans, USA.
Madhusudhan R SanakaCenter of Excellence for Barrett's Esophagus, Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, USA.
Prabhat KumarCenter of Excellence for Barrett's Esophagus, Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, USA.
James BenaDepartment of Quantitative Health Sciences, Cleveland Clinic Foundation, Cleveland, USA.
John McMichaelDepartment of General Surgery, Cleveland Clinic Foundation, Cleveland, USA.
Davendra P SohalDepartment of Hematology and Oncology, University of Cincinnati, Cincinnati, USA.
Siva RajaDepartment of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, USA.
Sudish MurthyDepartment of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, USA.
Prashanthi N ThotaCenter of Excellence for Barrett's Esophagus, Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, USA.
Barrett Technology (United States) · USUniversity of Cincinnati · USBaylor College of Medicine · USCleveland Clinic · USCleveland Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background In patients with resectable esophageal adenocarcinoma (EAC), the decision for neoadjuvant treatment depends on clinical staging with endoscopic ultrasound (EUS) and positron-emission tomography (PET) scan. Patients with locally advanced EAC pathology misclassified as early EAC by clinical staging are missing the opportunity to receive neoadjuvant therapy. We aim to identify predictors of locally advanced pathology in EAC to determine more accurately those who benefit from neoadjuvant therapy.  Methods Retrospective study of patients who underwent upfront endoscopic or surgical resection for EAC without neoadjuvant therapy from January 2011 to December 2017 was performed. Clinical characteristics, EUS, PET scan and histologic findings were analyzed. Multivariable analysis of predictors of locally advanced stage was performed and a risk prediction score was developed. Results A total of 97 patients were included; 68 patients were staged as early EAC (pT1 or pT2 and pN0) and 29 patients were staged as locally advanced EAC (pT1 or pT2 with pN1 and pT3 or pT4 irrespective of N status). In a predictive model of EAC, patients presenting with dysphagia, tumor size >2 cm, exophytic mass appearance on endoscopy and absence of hiatal hernia were more likely to be have locally advanced pathology with a probability of 70% (C-statistic 0.766). Conclusions A risk prediction model based on the presence of dysphagia, tumor size >2 cm, exophytic mass appearance and absence of hiatal hernia can be used to identify locally advanced pathology in EAC patients.

Indexed as

endoscopic ultrasoundesophageal adenocarcinomaesophageal cancerneoadjuvant chemotherapypathology staging

Identifiers

PMID34820244
PMCPMC8607361
OpenAlexW3208383748

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Registered trials

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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.