Evidence map›Paper›PMID 40994939›Full record

ArticleFrontiers in oncology2025

Case Report: Solving a decade-long paroxysmal hypertension mystery: bladder paraganglioma.

Xingchen Li, Wuwu Ding, Dong Lv, Hong Li

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 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

4 authors.

Xingchen LiDepartment of Radiology, People's Hospital of Deyang City, Deyang, Sichuan, China.
Wuwu DingDepartment of Pathology, People's Hospital of Deyang City, Deyang, Sichuan, China.
Dong LvDepartment of Urology, People's Hospital of Deyang City, Deyang, Sichuan, China.
Hong LiDepartment of Radiology, People's Hospital of Deyang City, Deyang, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder paraganglioma (BPGL) is an exceptionally rare neuroendocrine tumor whose diagnosis is often delayed or missed owing to its infrequent occurrence and variable clinical manifestations. We report a case of a 72-year-old female with a decade of unexplained paroxysmal hypertension, in which the diagnosis was ultimately prompted by an incidentally discovered bladder mass on ultrasonography. Crucially, 24-hour ambulatory blood pressure monitoring revealed micturition-triggered hypertensive crises, guiding subsequent confirmation through elevated post-voiding plasma-free metanephrines. The patient underwent successful laparoscopic partial cystectomy following careful preoperative alpha-adrenergic blockade, achieving complete symptom resolution postoperatively. This report underscores the diagnostic challenges inherent to BPGL, particularly the inconsistent presentation of classic micturition-related symptoms that can obscure the underlying trigger, emphasizing the utility of detailed history taking combined with targeted investigations, such as ABPM, to establish the diagnosis when initial catecholamine screenings may be unrevealing. Furthermore, this case reinforces the critical importance of meticulous preoperative preparation, multidisciplinary surgical management, and the necessity for considering genetic counseling and lifelong surveillance, given the potential for malignancy and hereditary predisposition associated with this condition.

Indexed as

ambulatory blood pressure monitoringbladder paragangliomaneuroendocrine tumorparoxysmal hypertensionpartial cystectomy

Identifiers

PMID40994939
PMCPMC12454057

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.