Evidence map›Paper›PMID 32341748›Full record

ReviewWorld journal of gastrointestinal endoscopy2020

Burgeoning study of sentinel-node analysis on management of early gastric cancer after endoscopic submucosal dissection.

David Friedel, Xiaocen Zhang, Stavros Nicholas Stavropoulos

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of gastrointestinal endoscopy, 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
0.4field-weighted citation impact, top 35% 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, 4 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

3 authors at 2 institutions in 1 country.

David FriedelDepartment of Gastroenterology, New York University Winthrop Hospital, Mineola, NY 11501, United States. dfriedel@winthrop.org.
Xiaocen ZhangDepartment of Internal Medicine, Mount Sinai St. Luke's West Hospital Center, New York, NY 10019, United States.
Stavros Nicholas StavropoulosDepartment of Gastroenterology, Hepatology and Nutrition, NYU-Winthrop University Hospital, Mineola, NY 11501, United States.
Winthrop-University Hospital · USMount Sinai Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoscopic submucosal dissection (ESD) represents an organ-preserving alternative to surgical resection of early gastric cancer. However, even with ESD yielding en-bloc resection specimens, there are concerns regarding tumor spread such as with larger lesions, ulcerated lesions, undifferentiated pathology and submucosal invasion. Sentinel node navigational surgery (SNNS) when combined with ESD offers a minimally invasive alternative to the traditional extended gastrectomy and lymphadenectomy if lack of lymph node spread can be confirmed. This would have a clear advantage in terms of potential complications and quality of life. However, SNNS, though useful in other malignancies such as breast cancer and melanoma, may not have a sufficient sensitivity for malignancy and negative predictive value in EGC to justify this as standard practice after ESD. The results of SNNS may improve with greater standardization and more involved dissection, technological innovations and more experience and validation such that the paradigm for post-ESD resection of EGC may change and include SNNS.

Indexed as

Early gastric cancerEndoscopic submucosal dissectionExpanded criteriaFunction-preserving gastrectomyLymphadenectomyOrgan preserving surgerySentinel nodeSentinel node navigation surgery

Identifiers

PMID32341748
PMCPMC7177205
OpenAlexW3015596088

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.