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Bladder malignancy as a cause of spontaneous bladder rupture: A systematic review.


ABSTRACT:

Objectives

To characterise cases of spontaneous rupture of the urinary bladder in the context of bladder cancer.

Methods

A systematic review was performed to characterise cases of spontaneous bladder rupture in patients with bladder cancer. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system was utilised, with databases being searched for relevant cases. Patient characteristics were extracted, including age, sex, presenting signs and symptoms, management modalities, tumour histology and mortality.

Results

Thirty cases were included. Seventeen (57%) were male, and the median age of presentation was 59. Abdominal pain and peritonism were the most common presenting symptoms, in 80% and 60% of patients, respectively. Most patients (n = 16, 53%) had urothelial cell carcinoma. Nine patients (30%) died during their initial hospitalisation.

Conclusion

Spontaneous bladder perforation in the context of bladder cancer is a rare cause of acute abdomen. The diagnosis is associated with high mortality, highlighting the aggressive nature of the malignancies that cause spontaneous bladder rupture. This raises important questions about the role of emergency cystectomy, the timing of systemic therapy and the appropriate involvement of palliative care.

SUBMITTER: Da Huang J 

PROVIDER: S-EPMC10764159 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Bladder malignancy as a cause of spontaneous bladder rupture: A systematic review.

Da Huang Johnson J   Shao Emily Ximin EX   Tham Chui Ming CM   Chung Eric E   Rhee Handoo H  

BJUI compass 20230830 1


<h4>Objectives</h4>To characterise cases of spontaneous rupture of the urinary bladder in the context of bladder cancer.<h4>Methods</h4>A systematic review was performed to characterise cases of spontaneous bladder rupture in patients with bladder cancer. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system was utilised, with databases being searched for relevant cases. Patient characteristics were extracted, including age, sex, presenting signs and symptoms, ma  ...[more]

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