Evidence map›Paper›PMID 42165027›Full record

ArticleUrology case reports2026

Incidental intraprostatic paraganglioma: Case report and review of the literature.

Diego Gonzalez, Francis Ryan, Kris Kokoneshi, Sam Kwon, Liza Khutsishvili, Fiona Wardrop, Jacob Weiss, Shawn Reginauld, Maher Ali, Abiye Kassa and 1 more

Abstract readCase Reports
In one paragraph

Article in Urology case reports, 2026. 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

11 authors.

Diego GonzalezGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Francis RyanGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Kris KokoneshiGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Sam KwonGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Liza KhutsishviliGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Fiona WardropGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Jacob WeissGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Shawn ReginauldGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Maher AliDepartment of Pathology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Abiye KassaDepartment of Pathology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Michael WhalenDepartment of Urology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraprostatic paraganglioma (PGL) is a rare neuroendocrine tumor arising from chromaffin cells and poses diagnostic and management challenges. We report a 63-year-old man with Grade Group 3 prostate adenocarcinoma who underwent robotic radical prostatectomy and was incidentally found to have a 1.5 mm intraprostatic PGL on final pathology. The patient had no catecholamine-related symptoms, and postoperative plasma metanephrines were normal, consistent with a nonfunctional tumor. Immunohistochemical staining supported the diagnosis. The patient elected surveillance and remains asymptomatic. This case highlights the variable presentation of prostatic PGL and emphasizes the role of pathologic evaluation, biochemical testing, and individualized management strategies.

Identifiers

PMID42165027
PMCPMC13184501

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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.