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PREDICTION OF MASSIVE BLEEDING IN PANCREATIC SURGERY USING A MACHINE LEARNING APPROACH

PREDICTION OF MASSIVE BLEEDING IN PANCREATIC SURGERY USING A MACHINE LEARNING APPROACH

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-jRCT1020210001
Enrollment
200
Registered
2021-04-02
Start date
2021-01-29
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

pancreatic ductal adenocarcinoma

Interventions

None listed

Sponsors

Wakiya Taiichi
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients undergoing pancreatic surgery for resectable pancreatic ductal adenocarcinoma at Hirosaki university hospital between 2007 and 2020. Subjects must meet the following criteria to be enrolled in this study. 1. Age >20 years 2. Pathologically diagnosed with pancreatic ductal adenocarcinoma

Exclusion criteria

Exclusion criteria: Patients who lacking clinicopathological findings

Design outcomes

Primary

MeasureTime frame
Intraoperative blood loss

Contacts

Public ContactTaiichi Wakiya

Hirosaki University Hospital

wakiya1979@hirosaki-u.ac.jp+81-172395079

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026