Evidence map›Paper›PMID 29030800›Full record

ReviewCurrent treatment options in gastroenterology2017

Endoscopic Treatment of Subepithelial Lesions of the Gastrointestinal Tract.

Vivien Wai Yin Wong, Osamu Goto, Hans Gregersen, Philip Wai Yan Chiu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Review
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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

4 authors.

Vivien Wai Yin WongDivision of Upper GI and Metabolic Surgery, Department of Surgery, Institute of Digestive Disease, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
Osamu GotoDivision of Research and Development for Minimally Invasive Treatment, Cancer Center, Keio University School of Medicine, Tokyo, Japan.
Hans GregersenDepartment of Surgery, Institute of Digestive Disease, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
Philip Wai Yan ChiuDivision of Upper GI and Metabolic Surgery, Department of Surgery, Institute of Digestive Disease, The Chinese University of Hong Kong, Shatin, Hong Kong SAR. philipchiu@surgery.cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review The study aimed to discuss novel endoscopic approaches to resection of submucosal lesions. Recent Findings Endoscopic resection by excavation, full-thickness resection, and submucosal tunneling are by now well-documented techniques for submucosal tumor resection. Combined approaches with laparoscopy such as several variations of laparoscopic endoscopic cooperation surgery (LECS) and non-exposed wall-inversion surgery (NEWS) are also possible now. Reports of these approaches show good results. However, lesion size is the main limitation to these approaches. Summary Endoscopic submucosal tumor resection can be effectively done endoscopically or by endoscopy combined with laparoscopy. These techniques allow localized resection of lesions at difficult locations such as in the gastroesophageal junction with limited influence on the normal anatomy. Variations in techniques are being practiced worldwide striving to achieve complete resection with minimal disturbance of function or contamination. The choice between approaches depends largely on the size and site of the lesion and expertise available.

Indexed as

Endoscopic resectionLECSPOETSubmucosal lesionSubmucosal tunneling

Identifiers

PMID29030800

What OpenQuestion holds

Textmetadata
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.