Evidence map›Paper›PMID 35888670›Full record

ArticleMedicina (Kaunas, Lithuania)2022

Epithelioid Rhabdomyosarcoma at the High Parietal Area of the Head: A Case Report.

Susanne Jung, Lauren Bohner, Miriam Schulte, Johannes Kleinheinz

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Susanne JungDepartment of Cranio and Maxillofacial Surgery, University Hospital Münster, 48149 Münster, Germany.
Lauren BohnerDepartment of Cranio and Maxillofacial Surgery, University Hospital Münster, 48149 Münster, Germany.ORCID 0000-0003-3637-3928
Miriam SchulteGerhard-Domagk-Institute of Pathology, Faculty of Medicine, University Hospital Münster, 48149 Münster, Germany.
Johannes KleinheinzDepartment of Cranio and Maxillofacial Surgery, University Hospital Münster, 48149 Münster, Germany.
University Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelioid rhabdomyosarcoma is a rare condition, which may be clinically misinterpreted as melanoma due to its morphological appearance. Careful morphological and immunohistochemical analysis play an important role in its diagnosis. This case report describes the clinicopathological features of an epithelioid RMS diagnosed at the high parietal area of the head. A 71-year-old male patient presented a red-brown pigmented ulcerative nodule in the high parietal region of the head. Previous biopsy and computer tomography imaging revealed a malignant melanoma in stage I (pT2, sN0, Mx). After tumor operation, histological and immunohistochemical analysis of the tumor were conducted. Histological analysis showed an erosive lesion with a monomorphic cell population containing small cells with prominent nucleoli. A positivity was confirmed for CD10, Vimentin, and Desmin. MyoD1 was detected, as well as a fluctuating signal for p53. Molecular analysis revealed a negativity for Sox-10, and a weak positivity for CK8/18 by absence of p40. Based on the morphological and immunohistochemical findings, the tumor was diagnosed as epithelioid RMS.

Indexed as

MelanomaRhabdomyosarcomaRhabdomyosarcoma, EmbryonalSkin NeoplasmsAgedBiomarkers, TumorHumansMaleBiomarkers, Tumorpathologyrhabdomyosarcomatumor

Identifiers

PMID35888670
PMCPMC9317532
OpenAlexW4285793127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.