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Construction and Scheme Research of a Frailty Risk Prediction Model for Gastric Cancer Patients Based on an Artificial Intelligence Decision

Research on the Construction and Intervention of a Risk Prediction Model for Frailty in Gastric Cancer Patients Based on an Artificial Intelligence Decision System

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112372
Enrollment
Unknown
Registered
2025-11-13
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Gastric cancer

Interventions

Observation group:None

Sponsors

Shanghai Tenth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Age is >= 18 years old and <= 80 years old; 2.Patients with a clinical diagnosis of primary gastric cancer; 3.undergoing primary surgical treatment for gastric cancer; 4.conscious and able to communicate effectively with medical staff; 5.Patients and their families who have given consent and voluntarily participate;

Exclusion criteria

Exclusion criteria: 1.Those with cognitive impairment or a history of mental illness; 2.Those with other severe physical illnesses; 3.Those with cancer recurrence or metastasis; 4.Those with other types of cancer;

Design outcomes

Primary

MeasureTime frame
Tilburg Frailty Indicator, TFI;—

Secondary

MeasureTime frame
Nutritional risk screening 2002,NRS-2002;—

Countries

China

Contacts

Public ContactZhang Lin

Shanghai Tenth People's Hospital

13764430462@163.com+86 21 66301560

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026