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Construction and Validation of Machine Learning-Based Risk Prediction Model for Postoperative Nausea and Vomiting in Children Undergoing Strabismus Surgery

Construction and Validation of Machine Learning-Based Risk Prediction Model for Postoperative Nausea and Vomiting in Children Undergoing Strabismus Surgery

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119097
Enrollment
Unknown
Registered
2026-02-14
Start date
2026-02-28
Completion date
Unknown
Last updated
2026-02-16

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

Conditions

Postoperative nausea and vomiting (PONV) in children undergoing strabismus surgery

Interventions

Training Set:
Test Set:

Sponsors

Eye Hospital, Wenzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
3 Years to 14 Years

Inclusion criteria

Inclusion criteria: 1.Age 3-14 years; 2.First strabismus surgery performed at our hospital; 3.General anesthesia; 4.Complete clinical data.

Exclusion criteria

Exclusion criteria: 1. Concurrent severe dysfunction of the heart, lungs, liver, kidneys, or other major organs; 2. Concurrent neurological disease or developmental disorder; 3. Secondary surgery or combined with other surgical procedures; 4. Incomplete clinical data preventing statistical analysis.

Design outcomes

Primary

MeasureTime frame
Incidence of postoperative nausea and vomiting (PONV);—

Countries

China

Contacts

Public ContactChen Zheyi

Eye Hospital, Wenzhou Medical University

45498725@qq.com+86 13736936336

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 19, 2026