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Development of a model based on machine learning to predict the conversion rate of sacral neuromodulation phase II

Development of a model based on machine learning to predict the conversion rate of sacral neuromodulation phase II

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094652
Enrollment
Unknown
Registered
2024-12-25
Start date
2025-01-01
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

lower urinary tract dysfunction

Interventions

Observations group:None

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) Age >=18 years old; 2) Patients with refractory lower urinary tract dysfunction, such as overactive bladder, neurogenic bladder, interstitial cystitis/chronic pelvic pain, non-obstructive urinary retention, etc., implanted with sacral nerve stimulation system; 3) After enrollment, they agreed not to arbitrarily increase or decrease drugs affecting lower urinary tract symptoms and pelvic function during the trial; 4) Voluntarily participate in the research and sign the informed consent; 5) Able to communicate well with investigators and willing to comply with the requirements of the entire experiment.

Exclusion criteria

Exclusion criteria: 1) Pregnant and lactating women; 2) Combined with uncontrolled urinary tract infection, urinary tract obstruction, urinary tract tumor; 3) Lack of data items, especially program control parameters; 4) Mental illness can not cooperate with the doctor; 5) The presence of non-urinary system malignant tumors and other concomitant diseases that seriously affect health; 6) Other conditions that the researcher considers inappropriate to participate in the study.

Design outcomes

Primary

MeasureTime frame
Phase II conversion rate;

Secondary

MeasureTime frame
Programmed parameter;Demographic characteristics;voiding diary;Adverse event ;

Countries

China

Contacts

Public ContactLingfeng Meng

Beijing Hospital

menglfdzs@163.com+86 185 1851 2987

Outcome results

None listed

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