Evidence map›Paper›PMID 40918771›Full record

ArticleCureus2025

Dedifferentiated Liposarcoma of the Kidney: Surgical Management and Diagnostic Insights.

Jawad Khan, Amna Kashif, Fatima Safdar, Pir Sameeullah Shah Rashdi, Sadaqat Ullah Rehmat, Hira Shehzad

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jawad KhanDepartment of Urology, Ayub Teaching Hospital, Abbottabad, PAK.
Amna KashifDepartment of Surgery, Jinnah Sindh Medical University, Karachi, PAK.
Fatima SafdarDepartment of Pathology and Laboratory Medicine, Aga Khan University Hospital, Karachi, PAK.
Pir Sameeullah Shah RashdiDepartment of Trauma and Orthopaedics, St George's Hospital, London, GBR.
Sadaqat Ullah RehmatDepartment of Urology, Ayub Teaching Hospital, Abbottabad, PAK.
Hira ShehzadDepartment of Surgery, Ayub Medical College, Abbottabad, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report presents the case of a 62-year-old male who presented with a two-month history of right flank pain and decreased appetite. Clinical evaluation revealed a palpable, non-tender mass in the right flank, while laboratory tests demonstrated mild anemia (hemoglobin 9.3 g/dL) with otherwise normal renal function. Contrast-enhanced computed tomography of the abdomen showed a large, heterogeneous mass arising from the lower pole of the right kidney, containing mixed densities, fatty components, and coarse calcifications. The initial differential diagnosis included angiomyolipoma. Following multidisciplinary discussion, the patient underwent radical nephrectomy. Gross examination revealed a lobulated, yellowish tumor with areas of necrosis and hemorrhage. Histopathological analysis confirmed the diagnosis of dedifferentiated liposarcoma, characterized by spindle cell proliferation with moderate nuclear atypia and mature adipocytes. Immunohistochemistry showed strong nuclear positivity for MDM2 and p16, supporting the diagnosis. The tumor was staged as pT3aNxM0. Postoperative follow-up was arranged to monitor for recurrence. This case highlights the diagnostic challenge posed by rare renal tumors with fatty components and emphasizes the importance of including dedifferentiated liposarcoma in the differential diagnosis. Early surgical intervention remains essential to optimize outcomes, given the tumor's limited response to adjuvant therapies.

Indexed as

case reportdedifferentiated liposarcomakidney tumorsurgerytumor management

Identifiers

PMID40918771
PMCPMC12413322

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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.