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Construction of a Risk Prediction Model for Malnutrition in Hepatocellular Carcinoma Patients Undergoing Surgery Based on the Backpropagation Neural Network

Construction of a Risk Prediction Model for Malnutrition in Hepatocellular Carcinoma Patients Undergoing Surgery Based on the Backpropagation Neural Network

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600128010
Enrollment
Unknown
Registered
2026-07-13
Start date
2024-08-01
Completion date
Unknown
Last updated
2026-07-20

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

Conditions

Nutritional deficiency in patients undergoing liver cancer surgery

Interventions

Modeling team:None
Validation group:None

Sponsors

Hunan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Patients who meet the Primary Liver Cancer Diagnosis and Treatment Standards (2017 Edition) or have been pathologically diagnosed with primary liver cancer; 2.patients aged >=18 years old; 3.patients who have undergone hepatic lobectomy; 4.patients assessed as malnourished using the NRS-2002 tool; 5.patients who are conscious and mentally normal; 6.patients whose condition is stable and can cooperate to complete the survey.

Exclusion criteria

Exclusion criteria: 1.Patients who: had concomitant gastrointestinal resection during surgery; 2. underwent unplanned reoperation; 3. refused to participate in the study.

Design outcomes

Primary

MeasureTime frame
Nutrition Risk Indicator;—

Secondary

MeasureTime frame
Liver Function Child-Pugh Classification;—

Countries

China

Contacts

Public ContactDai Ting

Hunan Provincial People's Hospital

28135996@qq.com+86 13574110595

Outcome results

None listed

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