Evidence map›Paper›PMID 30510947›Full record

ArticleWorld journal of clinical cases2018

Ileal bronchogenic cyst: A case report and review of literature.

Hong-Yu Chen, Li-Yuan Fu, Zhen-Jun Wang

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Abdominal bronchogenic cyst: A rare case report.World journal of clinical cases · 2022
    Article
  5. Article
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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 2 countries.

Hong-Yu ChenDepartment of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China.
Li-Yuan FuDepartment of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China.
Zhen-Jun WangDepartment of General Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China. drzhenjun@163.com.
Capital Medical University · CNCreative Research Enterprises (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We herein report a rare case of ileal bronchogenic cyst that was found in a 39-year-old Chinese man. He had no symptoms and the physical examination was normal. Tumor markers were within the normal range. Abdominopelvic enhanced computed tomography showed a mass in the lower abdominal cavity and the tumor had a complete capsule. Diagnostic laparoscopy was then performed, which showed that a spheroid mass with a complete capsule was located at the antimesenteric border of the distal ileum 20 cm from the ileocecal valve, measuring 6.0 cm × 6.0 cm × 5.0 cm. Considering that the malignancy of the tumor cannot be ruled out, and there is a risk of rupture during laparoscopic surgery, the patient was converted to an open surgery. Partial resection of the ileum with the tumor was performed, followed by a side-to-side anastomosis. The tumor was gray-red in color, filled with grayish yellow mucus and had no septum. The postoperative pathology revealed that the cystic wall was lined by pseudostratified ciliated columnar epithelium without cellular atypia. The wall consisted of bronchial mucous glands and smooth muscle fibers, and no abnormalities were found in adjacent ileum tissues. Thus, a diagnosis of bronchogenic cyst of the ileum was made.

Indexed as

Abdominal cavityBronchogenic cystCase reportEpitheliumIleal neoplasmsLaparoscopy

Identifiers

PMID30510947
PMCPMC6264986
OpenAlexW2901343211

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.