Evidence map›Paper›PMID 32712619›Full record

ArticleThe American journal of case reports2020

Histopathological Features of Deep Soft Tissue Epithelioid Angiosarcoma in the Lower Extremity: A Rare Case Report.

Pham Nguyen Cuong, Nguyen Thanh Xuan, Pham Nhu Huy, Tran Nhu Tung, Nguyen Huu Son

Open access · hybridAbstract readCase Reports
In one paragraph

Article in The American journal of case reports, 2020. 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
0.2field-weighted citation impact, top 48% 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, 3 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

5 authors at 2 institutions in 2 countries.

Pham Nguyen CuongDepartment of Pathology, Hue Central Hospital, Hue City, Vietnam.
Nguyen Thanh XuanDepartment of Pediatric and Abdominal Emergency Surgery, Hue Central Hospital, Hue City, Vietnam.
Pham Nhu HuyEmory College of Art and Sciences, Atlanta, GA, USA.
Tran Nhu TungForensic Center, Thua Thien Hue Province, Hue City, Vietnam.
Nguyen Huu SonPediatric Center, Hue Central Hospital, Hue City, Vietnam.
Hue Central Hospital · VNArt Institute of Atlanta · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Epithelioid angiosarcoma is an extremely rare malignant disease of the endothelial cells. Most of the previous reports about this disease were regarding clinical features and radiological findings, with limited descriptions of pathological diagnosis. This report aimed to present a reference to increase understanding of the timely diagnosis of epithelioid angiosarcoma. CASE REPORT A 65-year-old male was diagnosed with epithelioid angiosarcoma originating from the deep soft tissue of the lower leg. He had a history of 2 months of rapid swelling and painful in the left lower leg, which occurred after a muscle cramp, and was clinically suspicioius for hematoma. Radiological examination revealed a large heterogeneous soft-tissue mass. Histopathology results showed that the mass was malignant, and the differential diagnosis wasa malignant vascular tumor, melanoma, poorly differentiated carcinoma, clear cell sarcoma, epithelioid sarcoma, and anaplastic large-cell lymphoma. Immunohistochemistry findings confirmed that it was an epithelioid angiosarcoma. CONCLUSIONS This case underscores the difficult of diagnosing epithelioid angiosarcoma. It requires careful pathological investigation and immunophenotype labeling.

Indexed as

AgedHemangioendothelioma, EpithelioidHumansLower ExtremityMaleRare DiseasesSoft Tissue Neoplasms

Identifiers

PMID32712619
PMCPMC7414833
OpenAlexW3046239570

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.