Evidence map›Paper›PMID 25526446›Full record

ArticleMedicine2014

Myxoid liposarcoma in the abdominal wall: a case report.

Zhe Fan, Xiao Feng Tian, Shun Xiong Tang, Ying Yi Zhang, Ji Yong Pan, Shuang Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2014. 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
0.7field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 3 institutions in 1 country.

Zhe FanFrom the Department of General Surgery, the Third People's Hospital of Dalian (ZF, YZ, JP); Department of General Surgery, the Second Hospital of Dalian Medical University, (XT); Department of Invasive Technology, Affiliated Zhongshan Hospital of Dalian University (ST); and VIP Department, Affiliated Zhongshan Hospital of Dalian University, Dalian, China (SW).
Xiao Feng Tian
Shun Xiong Tang
Ying Yi Zhang
Ji Yong Pan
Shuang Wang
Second Affiliated Hospital of Dalian Medical University · CNAffiliated Zhongshan Hospital of Dalian University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A liposarcoma is the most common type of soft tissue sarcoma, and most liposarcomas are malignant. The extremities are the most common site for liposarcomas. There are 5 histologic types of liposarcoma, as follows: well differentiated; myxoid; round cell; pleomorphic; and dedifferentiated. Myxoid liposarcomas (MLSs) represent a subgroup of liposarcomas. There has been no report of MLSs in the abdominal wall. We report a rare case of a MLS of a 43-year-old male who presented with tensile force on the abdominal wall. Computed tomography (CT) found a tumor in abdominal wall. There was no other abnormal symptom and the laboratory testing was also unusual. At last, the tumor was successfully excised, which was diagnosed MLSs in pathology. Following standard principles, after complete excision, the patient received radiotherapy. The patient was followed up for 8 month and no disease recurrence was identified. MLSs are rarely seen in the clinic, irrespective of the presenting signs, but also based on histologic features. The aim of this report was to present the differential diagnosis of an abdominal wall mass, and to remind us of MLSs.

Indexed as

Abdominal WallAdultDiagnosis, DifferentialHumansLiposarcoma, MyxoidMaleTomography, X-Ray Computed

Identifiers

PMID25526446
PMCPMC4603107
OpenAlexW2070534706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.