Evidence map›Paper›PMID 36582976›Full record

ArticleMediastinum (Hong Kong, China)2022

A case report of a giant middle mediastinal leiomyosarcoma.

Stéphane Collaud, Clemens Aigner

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Mediastinum (Hong Kong, China), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  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

2 authors at 2 institutions in 1 country.

Stéphane CollaudDepartment of Thoracic Surgery, Ruhrlandklinik, University of Duisburg-Essen, Essen, Germany.
Clemens AignerDepartment of Thoracic Surgery, Ruhrlandklinik, University of Duisburg-Essen, Essen, Germany.
Ruhrlandklinik · DEUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary mediastinal leiomyosarcomas are extremely rare soft tissue tumors, accounting for less than 15% of all primary mediastinal sarcomas. Middle mediastinal tumors are very rare, with a prevalence of 0.1% in healthy individuals. Usually, mediastinal leiomyosarcoma originates and involves mediastinal structures such as oesophagus, heart or great vessels. Here we report the rare case of a giant middle mediastinal leiomyosarcoma without involvement of any surrounding structures in a 70 years old female. Main related symptoms were cough and increasing dyspnea. Imaging work-up showed an 11-cm giant middle mediastinal tumor located in the subcarinal space and compressing the oesophagus. Cytopathologic examination of endobronchial ultrasound-guided transbronchial needle aspiration diagnosed leiomyosarcoma. The tumor was completely removed through a right posterolateral thoracotomy in the fifth intercostal space. None of the surrounding structures were involved by the tumor intraoperatively. The patient underwent adjuvant chemoradiation as advised by the sarcoma tumor board (5 cycles of dacarbazine and doxorubicin followed by 60 Gy). At last follow-up, no evidence of recurrence was seen on imaging ten months after surgery. This rare case confirms that giant middle mediastinal leiomyosarcoma may not involve surrounding mediastinal structure and that resection can be completely and safely done without the need for resection of neighboring structures. The relevant literature on the subject is reviewed here.

Indexed as

case reportgiant tumorleiomyosarcomamiddle mediastinumPrimary mediastinal sarcomasurgery

Identifiers

PMID36582976
PMCPMC9792857
OpenAlexW4210684816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.