Evidence map›Paper›PMID 30863768›Full record

ArticleWorld journal of clinical cases2019

Use of tunnel endoscopy for diagnosis of obscure submucosal esophageal adenocarcinoma: A case report and review of the literature with emphasis on causes of esophageal stenosis.

Song Liu, Nian Wang, Jian Yang, Jia-Yao Yang, Zhao-Hong Shi

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Song LiuDepartment of Gastroenterology, The First Hospital of Wuhan, Wuhan 430000, Hubei Province, China.
Nian WangDepartment of Gastroenterology, The First Hospital of Wuhan, Wuhan 430000, Hubei Province, China.
Jian YangDepartment of Gastroenterology, The First Hospital of Wuhan, Wuhan 430000, Hubei Province, China.
Jia-Yao YangDepartment of Gastroenterology, The First Hospital of Wuhan, Wuhan 430000, Hubei Province, China.
Zhao-Hong ShiDepartment of Gastroenterology, The First Hospital of Wuhan, Wuhan 430000, Hubei Province, China. wuhandyyy@126.com.
Wuhan No.1 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tunnel endoscopic technique is the treatment of choice for submucosal tumors. However, the use of tunnel endoscopy to diagnose adenocarcinoma of the esophagus originating from the submucosa has not been well studied. CASE SUMMARY: A 74-year-old man who presented with dysphagia for half a year underwent a series of checks, such as gastroendoscopy, X-ray contrast examination of the upper digestive tract, endoscopic ultrasonography, high-resolution esophageal manometry, and positron emission computed tomography. It should be noted that the stenosis of the esophagus was too narrow for endoscopic ultrasound-guided fine needle aspiration. The cause remained undiagnosed. Eventually, the tunnel endoscopic technique was perform for the pathological examination in the submucosa and the final diagnosis was adenocarcinoma of the esophagus. The patient and family members chose expectant treatment due to the patient's age and the high costs of surgical treatment.

conclusionTunnel endoscopy could be used to diagnose tumors. Moreover, we review the literature to provide guidance regarding the causes of esophagostenosis.

Indexed as

Adenocarcinoma of the esophagusCase reportEsophageal stenosisTunnel endoscopic technique

Identifiers

PMID30863768
PMCPMC6406193
OpenAlexW2920498785

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.