Artificial intelligence for prediction of spontaneous loss of stones in patients with symptomatic ureter stones
Not yet recruiting
- Conditions
- N20N13Calculus of kidney and ureterObstructive and reflux uropathy
- Registration Number
- DRKS00023527
- Lead Sponsor
- Klinikum Nuernberg
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 250
Inclusion Criteria
Diagnosis of ureter stone unilateral
No maximum age
Age > 18 Years
Karnofsky-Index > 70
Exclusion Criteria
Anatomical disorders of urinary tract
Urinary infection
State after surgery of upper urinary tract
Renal failure
Refractory pain
Limits in communication
Demenz
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method oss of ureter stone in days measured by telephone call
- Secondary Outcome Measures
Name Time Method Pain measured by questionaire