A Machine Learning Architecture to Predict Post-Hepatectomy Liver Failure Using Liver Regeneration Biomarkers and Time-Phased Data
NCT ID: NCT05779098
Last Updated: 2025-05-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
1071 participants
OBSERVATIONAL
2023-04-01
2025-04-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Extensive hepatectomy
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
80 Years
ALL
No
Sponsors
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Shanghai 10th People's Hospital
OTHER
Jinling Hospital, China
OTHER
Shen Feng
OTHER
Responsible Party
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Shen Feng
Dean of Clinical Research Institute of Eastern Hepatobiliary Surgery Hospital
Locations
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Department of Hepatobiliary and Pancreatic Surgery, Tenth People's Hospital of Tongji University, School of Medicine, Tongji University, Shanghai, China
Shanghai, , China
Countries
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Other Identifiers
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1312871874
Identifier Type: -
Identifier Source: org_study_id
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