Artificial intelligence for prediction of spontaneous loss of stones in patients with symptomatic ureter stones

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00023527

Enrollment

250

Registered

2020-11-20

Start date

2021-01-04

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

N20 N13

Interventions

Group 1: Pain Questionaire at day 0, 8, 14, 28

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Diagnosis of ureter stone unilateral No maximum age Age > 18 Years Karnofsky-Index > 70

Exclusion criteria

Exclusion criteria: Anatomical disorders of urinary tract Urinary infection State after surgery of upper urinary tract Renal failure Refractory pain Limits in communication Demenz

Design outcomes

Primary

Measure	Time frame
Loss of ureter stone in days measured by telephone call	—

Secondary

Measure	Time frame
Pain measured by questionaire	—

Countries

Germany

Contacts

Public ContactSascha Pahernik

Klinikum Nuernberg

sascha.pahernik@klinikum-nuernberg.de++499113982372

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026