Evidence map›Paper›PMID 34456187›Full record

ReviewGut and liver2022

Advancements in the Diagnosis of Gastric Subepithelial Tumors.

Osamu Goto, Mitsuru Kaise, Katsuhiko Iwakiri

Open access · diamondAbstract readReview
In one paragraph

Review in Gut and liver, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Natural History of Gastric Subepithelial Lesions Measuring 1 to 2 cm.The Korean journal of helicobacter and upper gastrointestinal research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Approach to Gastric Subepithelial Lesions: From Differential Diagnosis to Histologic Confirmation.The Korean journal of helicobacter and upper gastrointestinal research · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. [Approach to Small Gastric Subepithelial Lesions].The Korean journal of helicobacter and upper gastrointestinal research · 2023
    Review
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 1 institution in 1 country.

Osamu GotoDepartment of Gastroenterology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.ORCID 0000-0002-1039-6323
Mitsuru KaiseDepartment of Gastroenterology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.ORCID 0000-0002-4593-9527
Katsuhiko IwakiriDepartment of Gastroenterology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.ORCID 0000-0002-5558-6104
Nippon Medical School · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A diagnosis of subepithelial tumors (SETs) is sometimes difficult due to the existence of overlying mucosa on the lesions, which hampers optical diagnosis by conventional endoscopy and tissue sampling with standard biopsy forceps. Imaging modalities, by using computed tomography and endoscopic ultrasonography (EUS) are mandatory to noninvasively collect the target's information and to opt candidates for further evaluation. Particularly, EUS is an indispensable diagnostic modality for assessing the lesions precisely and evaluating the possibility of malignancy. The diagnostic ability of EUS appears increased by the combined use of contrast-enhancement or elastography. Histology is the gold standard for obtaining the final diagnosis. Tissue sampling requires special techniques to break the mucosal barrier. Although EUS-guided fine-needle aspiration (EUS-FNA) is commonly applied, mucosal cutting biopsy and mucosal incision-assisted biopsy are comparable methods to definitively obtain tissues from the exposed surface of lesions and seem more useful than EUS-FNA for small SETs. Recent advancements in artificial intelligence (AI) have a potential to drastically change the diagnostic strategy for SETs. Development and establishment of noninvasive methods including AI-assisted diagnosis are expected to provide an alternative to invasive, histological diagnosis.

Indexed as

Endoscopic Ultrasound-Guided Fine Needle AspirationStomach NeoplasmsArtificial IntelligenceEndoscopy, GastrointestinalEndosonographyHumansEndosonographyGastrointestinal stromal tumorSubepithelial tumor

Identifiers

PMID34456187
PMCPMC9099397
OpenAlexW3196622609

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.