Bladder Sonomorphological Tests in Diagnosing Bladder Outlet Obstruction in Patients with Lower Urinary Tract Symptoms: A Systematic Review and Meta-Analysis.
Urol Int
; 107(4): 327-335, 2023.
Article
in En
| MEDLINE
| ID: mdl-34903702
AIMS: We aimed to investigate the accuracy of bladder sonomorphological parameters including detrusor wall thickness (DWT) and ultrasound-estimated bladder weight (UEBW) for diagnosing bladder outlet obstruction (BOO) in patients with lower urinary tract symptoms (LUTS). METHODS: A comprehensive search was conducted through databases including PubMed, EMBASE, MEDLINE, Cochrane Library, Medicine, China Knowledge Network (CNKI), China Biomedical Literature Database, Wanfang Database, the Chongqing VIP Chinese Science, and Technology Periodical Database (VIP) to select studies assessing the diagnostic accuracy of DWT and UEBW to diagnose BOO in adults with LUTS. Databases were searched from inception to 2020 without restriction. Study quality was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2), and measures of accuracy were calculated using random-effects model. RESULTS: The initial search included 84 publications, of which 78 publications were screened, and 16 studies with 1,847 patients finally contained diagnostic data. The results from 10 out of 16 studies assessing DWT showed a pooled sensitivity (SSY) of 0.68 (95% CI, 0.56-0.78) and specificity (SPY) of 0.91 (95% CI, 0.82-0.96) with I2 values of 93%, while 6 studies evaluating UEBW were analyzed with a SSY of 0.88 (95% CI, 0.78-0.93) and SPY of 0.81 (95% CI, 0.67-0.90) with I2 values of 83%. CONCLUSIONS: DWT shows high SPY, and UEBW performs high SSY of diagnosing BOO. Further well-designed studies are needed to evaluate the utilization of DWT and UEBW for the diagnosis of BOO.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Urinary Bladder Neck Obstruction
/
Lower Urinary Tract Symptoms
Type of study:
Diagnostic_studies
/
Systematic_reviews
Limits:
Adult
/
Humans
Language:
En
Journal:
Urol Int
Year:
2023
Type:
Article
Affiliation country:
China