Evidence map›Paper›PMID 32448896›Full record

ArticleDiseases of the esophagus : official journal of the International Society for Diseases of the Esophagus2020

Ligation-assisted endoscopic mucosal resection for esophageal granular cell tumors is safe and effective.

Shria Kumar, Vinay Chandrasekhara, Michael L Kochman, Nuzhat Ahmad, Sara Attalla, Immanuel K Ho, David L Jaffe, Peter J Lee, Kashyap V Panganamamula, Monica Saumoy and 2 more

Open access · greenAbstract read
In one paragraph

Article in Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 2 institutions in 1 country.

Shria KumarDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Vinay ChandrasekharaDepartment of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Michael L KochmanDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Nuzhat AhmadDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Sara AttallaDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Immanuel K HoDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
David L JaffeDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Peter J LeeDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Kashyap V PanganamamulaDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Monica SaumoyDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Danielle FortunaDivision of Pathology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Gregory G GinsbergDivision of Gastroenterology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USMayo Clinic in Arizona · US

Funding

CLINICAL EPIDEMIOLOGY TRAINING IN GASTROENTEROLOGYT32DK007740 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI James D Lewis · 1997 to 2026
$9.2M
NIDDK NIH HHS T32 DK007740
6 · The paper itself

Abstract

Given their malignant potential, resection of esophageal granular cell tumors (GCTs) is often undertaken, yet the optimal technique is unknown. We present a large series of dedicated endoscopic resection using band ligation (EMR-B) of esophageal GCTs. Patients diagnosed with esophageal GCTs between 2002 and 2019 were identified using a prospectively collected pathology database. Endoscopic reports were reviewed, and patients who underwent dedicated EMR-B of esophageal GCTs were included. Medical records were queried for demographics, findings, adverse events, and follow-up. We identified 21 patients who underwent dedicated EMR-B for previously identified esophageal GCT. Median age was 39 years; 16 (76%) were female. Eight (38%) had preceding signs or symptoms, potentially attributable to the GCT. Upon endoscopic evaluation, 12 (57%) were found in the distal esophagus. Endoscopic ultrasound was used in 15 cases (71%). Median lesion size was 7 mm, interquartile range 4 mm-8 mm. The largest lesion was 12 mm. A total of 20 (95%) had en bloc resection confirmed with pathologic examination. The only patient with tumor extending to the resection margin underwent surveillance endoscopy that showed no residual tumor. No patients experienced bleeding, perforation, or stricturing in our series. No patients have had known recurrence of their esophageal GCT. EMR-B of esophageal GCT achieves complete histopathologic resection with minimal adverse events. EMR-B is safe and effective and seems prudent compared with observation for what could be an aggressive and malignant tumor. EMR-B should be considered first-line therapy when resecting esophageal GCT up to 12 mm in diameter.

Indexed as

Endoscopic Mucosal ResectionEsophageal NeoplasmsGranular Cell TumorFemaleHumansInfant, NewbornNeoplasm Recurrence, LocalRetrospective StudiesTreatment Outcomeendoscopic mucosal resectionflexible endoscopygranular cell tumor

Identifiers

PMID32448896
PMCPMC7397483
OpenAlexW3026583590

What OpenQuestion holds

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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.