Evidence map›Paper›PMID 39889159›Full record

ReviewMedicine2025

Imaging features of bronchogenic cyst of the stomach: A case report with literature review.

Deshuo Dong, Anliang Chen, Ailian Liu

Abstract readCase ReportsReview
In one paragraph

Review in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  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.

Deshuo DongDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, P.R. China.
Anliang ChenDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, P.R. China.
Ailian LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, P.R. China.ORCID 0000-0002-7288-8227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleBronchogenic cyst (BC) is a congenital disease characterized by an anomaly of the foregut in the embryonic stage. Gastric BC is exceedingly rare and has never been accurately diagnosed prior to surgery; it is often misidentified as gastric stromal tumor, with the definitive diagnosis confirmed through postoperative specimens. Although gastric BC is considered a benign lesion, its prognosis remains uncertain, underscoring the importance of accurate preoperative identification. PATIENT CONCERNS: The present study reported the case of a 64-year-old female who presented with 2 incidentally detected lesions of the gastric corpus and antrum. Computed tomography and magnetic resonance imaging showed cystic lesions with delayed enhancement of the cyst wall and no enhancement of the cyst contents. INTERVENTIONS AND DIAGNOSES: The patient underwent a laparoscopic partial gastrectomy. BC was diagnosed by histopathology and immunohistochemistry after surgery. OUTCOMES: The patient had an uneventful hospital course and was discharged on the eleventh postoperative day. No recurrence or metastasis was observed after 33 months. LESSONS: BC of the stomach is mostly ovate in shape with well-defined margins. The cyst wall shows prolonged enhancement and calcification may occur at the edges. The density and signal of the cyst content varied with composition. These imaging features are helpful for differentiating diagnoses from other diseases.

Indexed as

Bronchogenic CystStomach DiseasesDiagnosis, DifferentialFemaleGastrectomyHumansLaparoscopyMagnetic Resonance ImagingMiddle AgedTomography, X-Ray Computed

Identifiers

PMID39889159
PMCPMC11789860

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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.