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Machine learning model predicts risk of PONV after daytime laparoscopic cholecystectomy

Machine learning model predicts risk of PONV after daytime laparoscopic cholecystectomy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400086496
Enrollment
Unknown
Registered
2024-07-03
Start date
2024-07-03
Completion date
Unknown
Last updated
2024-07-08

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

Conditions

postoperative nausea and vomiting

Interventions

case series:None

Sponsors

Sichuan Academy of Medical Sciences·Sichuan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. adult patients (18-75 years old) undergoing laparoscopic cholecystectomy in the day surgery ward 2. with complete baseline data, surgical anaesthesia data and postoperative visit data

Exclusion criteria

Exclusion criteria: Unplanned termination of the day surgery clinical pathway and transfer out of the day surgery ward

Design outcomes

Primary

MeasureTime frame
Nausea and vomiting;—

Countries

China

Contacts

Public ContactFan Dan

Sichuan Academy of Medical Sciences·Sichuan Provincial People's Hospital

fandan1976@163.com+86 177 0813 0205

Outcome results

None listed

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