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Machine Learning Predictive Outcomes Modeling in UPJO Hydronephrosis Resolution after Pyeloplasty

Machine Learning Predictive Outcomes Modeling in UPJO Hydronephrosis Resolution after Pyeloplasty

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100052822
Enrollment
Unknown
Registered
2021-11-06
Start date
2021-11-10
Completion date
Unknown
Last updated
2022-08-16

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

Conditions

UPJO(ureteropelvic junction obstruction) hydronephrosis

Interventions

Surgery group:No

Sponsors

Children's Hospital of Chongqing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: Children with UPJO hydronephrosis underwent laparoscopic pyeloureteroplasty in Children's Hospital Affiliated to Chongqing Medical University.

Exclusion criteria

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

Design outcomes

Primary

MeasureTime frame
Preoperative and postoperative renal APD(antero-posterior diameter);Surgical approach;Bleeding;Drainage method;—

Countries

China

Contacts

Public ContactDa-Wei He

Children's Hospital of Chongqing Medical University

dw.he@163.com+86 18680856616

Outcome results

None listed

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