Background: Ureteral stones frequently cause renal colic, and if left untreated, can lead to obstructive uropathy. Extracorporeal shock wave lithotripsy (ESWL) and ureteroscopy, with or without intracorporeal lithotripsy, are the most common interventions used to treat ureteral stones. ESWL treatment is less invasive than ureteroscopy, but has some limitations such as a high retreatment rate, and is not available in all centres. Recent advances in ureteroscopy have increased success rates and reduced complication rates.
Objectives: To examine evidence from randomised controlled trials (RCTs) on the outcomes of ESWL or ureteroscopy in the treatment of ureteric calculi.
Search Methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL in The Cochrane Library Issue 2, 2011), MEDLINE (1966 to March 2011), EMBASE (1980 to March 2011), CINAHL, Clinicaltrials.gov, Google Scholar, reference lists of articles and abstracts from conference proceedings, all without language restriction.
Selection Criteria: RCTs that compared ESWL with ureteroscopic retrieval of ureteric stones were included in this review. Study participants were adults with ureteric stones requiring intervention. Published and unpublished sources were considered for inclusion.
Data Collection And Analysis: Three authors independently assessed study quality, risk of bias, and extracted data. Statistical analyses were performed using the random-effects model. Results were expressed as risk ratios (RR) for dichotomous outcomes or mean differences (MD) for continuous data, both with 95% confidence intervals (CI).
Main Results: Seven RCTs (1205 patients) were included in the review. Stone-free rates were lower in patients who underwent ESWL (7 studies, 1205 participants: RR 0.84, 95% CI 0.73 to 0.96) but re-treatment rates were lower in ureteroscopy patients (6 studies, 1049 participants: RR 6.18, 95% CI 3.68 to 10.38. ESWL-treated patients had less need for auxiliary treatment (5 studies, 751 participants: RR 0.43, 95% CI 0.25 to 0.74; fewer complications (7 studies, 1205 participants: RR 0.54, 95% CI 0.33 to 0.88); and shorter length of hospital stay (2 studies, 198 participants: MD -2.55 days, 95% CI -3.24 to -1.86).Three studies adequately described the randomisation sequence, three studies were unclear on how they randomised, while one study had a high risk of selection bias. All the studies had an unclear risk of performance bias and detection bias, while all had a low risk of attrition bias, reporting bias, or other sources of bias identified.
Authors' Conclusions: Compared with ESWL, ureteroscopic removal of ureteral stones achieves a greater stone-free state, but with a higher complication rate and longer hospital stay.
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http://dx.doi.org/10.1002/14651858.CD006029.pub3 | DOI Listing |
Am J Emerg Med
December 2024
Department of Emergency Medicine, Good Samaritan University Hospital, 1000 Montauk Highway, West Islip, New York, United States of America. Electronic address:
Introduction: Renal colic is generally considered a diagnosis appropriate for discharge home once pain is adequately controlled and no other admission criteria are met. The increasing prevalence of ED observation units (EDOU) represent another disposition option for patients with renal colic. In this study, we sought to describe the rates of 14-day revisits for renal colic among patients placed in an EDOU as compared to those discharged from the ED.
View Article and Find Full Text PDFInt Urol Nephrol
December 2024
Department of Urology, Unidade Local de Saúde de Santo António, Centro Hospitalar Universitário Do Porto, 8th floor, Largo Do Prof. Abel Salazar, 4099-001, Porto, Portugal.
Introduction: The primary aim of stone treatment is to achieve stone-free status. Residual fragments can cause stone growth, recurrence, urinary tract infections, and ureteric obstruction. Our goal was to describe the natural history of stone burden after retrograde intrarenal surgery (RIRS) based on stone-free status (SFS), evaluating stone growth and stone-events.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Urology, Liaocheng People's Hospital, Liaocheng, China.
Introduction And Aim: The main categories of drugs employed for medical expulsive therapy in patients with ureteral calculi (UC) are alpha-blockers (α-B) and beta-adrenoceptor agonists. This meta-analysis evaluated the safety and effectiveness of α-B versus mirabegron (MIR) in treating UC.
Methods: From January 1980 to October 2024, we extensively searched the Pubmed, Web of science, Cochrane and EMBASE databases to identify randomized controlled trials (RCTs) that compared the effectiveness of α-B and MIR in managing UC.
World J Urol
December 2024
Department of Urology, Health Sciences University, Adana City Training and Research Hospital, Adana, Turkey.
Purpose: To evaluate stone free rate (SFR) predictivity of three different scoring systems in patients with kidney stones larger than 20 millimeters undergoing retrograde intrarenal surgery(RİRS).
Methods: Digital records of a total of 166 patients were reviewed retrospectively. Epidemiological characteristics (age, gender, medical history) of the patients, stone and affected kidney characteristics (size, volume, location, density, opaque, presence of urinary system anomaly, presence of stones in different calyx, number of stones, lower pole stone, renal infundibulopelvic angle (IPA), renal infundibulopelvic length (RIL), hydronephrosis), and operative characteristics (preoperative ureteral stent, operation duration, postoperative residual fragments, hospitalization time and complications were recorded.
Metabolites
December 2024
Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Employing advanced machine learning models, we aim to identify biomarkers for urolithiasis from 24-h metabolic urinary abnormalities and study their associations with urinary stone diseases. We retrospectively recruited 468 patients at Peking Union Medical College Hospital who were diagnosed with urinary stone disease, including renal, ureteral, and multiple location stones, and had undergone a 24-h urine metabolic evaluation. We applied machine learning methods to identify biomarkers of urolithiasis from the urinary metabolite profiles.
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