Evidence map›Paper›PMID 38766573›Full record

ArticleRare tumors2024

Enormous myxoid/round cell liposarcoma: A case report.

Joshua R Finlay, Gayathri Vijayakumar, Ankica Braun, Abdullah Almajnooni, Austin Yu, Ira Miller, George Kokosis, Dian Wang, Alan Blank, Steven Gitelis

Abstract readCase Reports
In one paragraph

Article in Rare tumors, 2024. 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
–field-weighted citation impact
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.

  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

10 authors.

Joshua R FinlayDepartment of Orthopedic Surgery, Division of Orthopedic Oncology, Rush University Medical Center, Chicago, IL, USA.
Gayathri VijayakumarDepartment of Orthopedic Surgery, Division of Orthopedic Oncology, Rush University Medical Center, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-7324-4864
Ankica BraunDepartment of Pathology, Rush University Medical Center, Chicago, IL, USA.
Abdullah AlmajnooniDepartment of Pathology, Rush University Medical Center, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-7850-3148
Austin YuDepartment of Orthopedic Surgery, Division of Orthopedic Oncology, Rush University Medical Center, Chicago, IL, USA.
Ira MillerDepartment of Pathology, Rush University Medical Center, Chicago, IL, USA.
George KokosisDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Rush University Medical Center, Chicago, IL, USA.
Dian WangDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-7619-8912
Alan BlankDepartment of Orthopedic Surgery, Division of Orthopedic Oncology, Rush University Medical Center, Chicago, IL, USA.ORCID https://orcid.org/0000-0003-2531-5976
Steven GitelisDepartment of Orthopedic Surgery, Division of Orthopedic Oncology, Rush University Medical Center, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myxoid/round cell liposarcomas (MRCLPS) are a rare soft tissue sarcoma. We report the largest sarcoma in our institutional history. We discuss the patient's surgical management and treatment of the tumor and challenges given its dimensions. Several complications arose following primary resection that were managed by a multidisciplinary team. Although MRCLPS can vary in size, large MRCLPS must be treated cautiously given the potential for complications. Additionally, multidisciplinary treatment of MRCLPS is essential in diagnosing and treating these complex cases.

Indexed as

large sarcomamultidisciplinaryMyxoid liposarcomamyxoid/round cell liposarcomassoft tissue sarcoma

Identifiers

PMID38766573
PMCPMC11100375

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.