FindTrial
Sign In

Investigation of Pain Trajectory and Construction of a Predictive Model After Pancreaticoduodenectomy: Based on Machine Learning

Investigation of Pain Trajectory and Construction of a Predictive Model After Pancreaticoduodenectomy: Based on Machine Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127303
Enrollment
Unknown
Registered
2026-06-29
Start date
2026-07-01
Completion date
Unknown
Last updated
2026-07-13

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

Conditions

Patients with periampullary carcinoma undergoing pancreaticoduodenectomy

Interventions

Training Group & Testing Group:None

Sponsors

The First Affiliated Hospital of Kunming Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Diagnosis confirmed by imaging and/or pathology as periampullary tumor; 2.Administration of standard PD procedure (including classic Whipple procedure or pylorus-preserving PD); 3.Complete or partially complete records of analgesic medication use during days 1–7 postoperatively.

Exclusion criteria

Exclusion criteria: 1. Complete absence of analgesic records within 7 days postoperatively; 2. Missing critical demographic or pathological data that cannot be supplemented.

Design outcomes

Primary

MeasureTime frame
Pain score;—

Countries

China

Contacts

Public ContactHuang Zhangxiang

The First Affiliated Hospital of Kunming Medical University

adams7777@163.com+86 571 88122106

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026