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Establishment of machine learning prediction model for follow-up outcome of unilateral ureteropelvic junction obstruction in children

Establishment of machine learning prediction model for follow-up outcome of unilateral ureteropelvic junction obstruction in children

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100055099
Enrollment
Unknown
Registered
2021-12-31
Start date
2021-12-30
Completion date
Unknown
Last updated
2023-01-09

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

Conditions

ureteropelvic junction obstruction (UPJO) hydronephrosis

Interventions

UPJO Group:None

Sponsors

Children's Hospital Affiliated to Chongqing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: Children with hydronephrosis at the outpatient clinic of the Children's Hospital Affiliated to Chongqing Medical University.

Exclusion criteria

Exclusion criteria: Children with other urinary tract malformations (neurogenic bladder, vesicoureteral reflux, lower urinary tract obstruction, hydronephrosis caused by external compression of the ureter, etc.).

Design outcomes

Primary

MeasureTime frame
Separation value of anterior and posterior renal pelvis at initial diagnosis;Age;—

Countries

China

Contacts

Public ContactHe Dawei

Children's Hospital Affiliated to Chongqing Medical University

hedawei@hospital.cqmu.edu.cn+86 18680856616

Outcome results

None listed

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