Evidence map›Paper›PMID 36277159›Full record

ArticleExperimental and therapeutic medicine2022

EUS‑FNA combined with an intracapsular injection of antibiotics and ethanol for posterior mediastinal cyst: A case report.

Linghong Wu, Xianwen Zhang, Maosen Feng, Xiaoan Li

Open access · diamondAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental and therapeutic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Linghong WuDepartment of Gastroenterology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan 621000, P.R. China.
Xianwen ZhangDepartment of Gastroenterology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan 621000, P.R. China.
Maosen FengDepartment of Gastroenterology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan 621000, P.R. China.
Xiaoan LiDepartment of Gastroenterology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan 621000, P.R. China.
Mianyang Central Hospital · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mediastinal cysts are rare benign lesions and their diagnosis and treatment remain difficult and controversial. The development of endoscopic ultrasound (EUS) has broadened the horizon for the precise treatment of diseases. The present study reports the case of a 53-year-old male hospitalized with chest pain. All imaging findings, including computed tomography, magnetic resonance imaging and EUS, indicated a benign cystic mass in the posterior mediastinum. The posterior mediastinal cyst was treated with EUS-guided fine-needle aspiration combined with an intracapsular injection of antibiotics and ethanol, and the results indicated no mediastinal infection after the puncture and no recurrence after 3 months of follow-up. The present study provides a new method for diagnosing and treating mediastinal cysts.

Indexed as

antibioticendoscopic ultrasonographyendoscopic ultrasound-guided fine needle aspirationethanolmediastinal cyst

Identifiers

PMID36277159
PMCPMC9535330
OpenAlexW4297376978

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.