WHO ICTRP trial

Machine learning model for predicting postoperative pain risk in ambulatory…

ChiCTR2500106179 · Chinese Clinical Trial Registry (ChiCTR) · Not Recruiting

Key facts

Trial ID ChiCTR2500106179
Public title Machine learning model for predicting postoperative pain risk in ambulatory laparoscopic cholecystectomy
Scientific title Machine learning model for predicting postoperative pain risk in ambulatory laparoscopic cholecystectomy
Primary sponsor Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
Registry Chinese Clinical Trial Registry (ChiCTR)
Recruitment status Not Recruiting
Study type Observational study
Phase Retrospective study
Countries China
Conditions Postoperative pain
Interventions Observation group:None
Registration date Jul 18, 2025
Target size Observation group:2000
Registry page chictr.org.cn

At a glance

  • No Results available

Counts are shown as ranges. Exact figures, trends and every underlying record are available in Orca1.

About WHO ICTRP trial registrations

The WHO ICTRP combines trial registrations from primary registries worldwide into a single searchable index. Contact and ethics-committee details are not shown here.

Source: World Health Organization (WHO), International Clinical Trials Registry Platform (ICTRP) · Source date:

Browse all WHO ICTRP trial registrations