Evidence map›Paper›PMID 28979708›Full record

ReviewWorld journal of gastrointestinal endoscopy2017

Endoscopic diagnosis and treatment of early esophageal squamous neoplasia.

Yuto Shimamura, Takashi Ikeya, Norman Marcon, Jeffrey D Mosko

Abstract readReview
In one paragraph

Review in World journal of gastrointestinal endoscopy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Breath biomarkers for esophageal cancer: identification, quantification, and diagnostic modeling.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

Yuto ShimamuraDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, Toronto, ON M5B1W8, Canada.
Takashi IkeyaDepartment of Gastroenterology, St. Luke's International Hospital, Tokyo 104-8560, Japan.
Norman MarconDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, Toronto, ON M5B1W8, Canada.
Jeffrey D MoskoDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, Toronto, ON M5B1W8, Canada. moskoj@smh.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer is one of the leading causes of cancer-related death and is associated with high morbidity and mortality. It carries a poor prognosis as more than half of patients present with advanced and unresectable disease. One contributing factor is the increased risk of lymph node metastases at early stages of disease. As such, it is essential to detect squamous cell neoplasia (SCN) at an early stage. In order to risk stratify lesions, endoscopists must be able to perform image enhanced endoscopy including magnification and Lugol's chromoendoscopy. The assessment of both the horizontal extent and depth of any lesion is also of utmost importance prior to treatment. Endoscopic mucosal resection and submucosal dissection remain the standard of care with literature supportive their respective use. Radiofrequency ablation and other endoscopic treatments are currently available although should not be considered first line at this time. Our objective is to review the current options for the endoscopic diagnosis and treatment of esophageal SCN.

Indexed as

Chromoendoscopyendoscopic detectionEndoscopic mucosal resectionEndoscopic submucosal dissectionEsophageal squamous cell carcinomaEsophageal squamous cell neoplasiaImage enhanced endoscopy

Identifiers

PMID28979708
PMCPMC5605343

What OpenQuestion holds

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LicenceCC BY-NC
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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.