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Risk factors analysis and prediction model construction for malnutrition among cancer patients during particle radiotherapy based on machine learning algorithm

Risk factors analysis and prediction model construction for malnutrition among cancer patients during particle radiotherapy based on machine learning algorithm

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300072013
Enrollment
Unknown
Registered
2023-05-31
Start date
2023-02-15
Completion date
Unknown
Last updated
2023-06-12

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

Conditions

cancer

Interventions

Case series(Part 1):N/A
Case series(Part 2):N/A

Sponsors

Shanghai Proton and Heavy Ion Center
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1: Patients with pathologically diagnosed cancer 2: Age = 18 years 3: Patients who have normal communication and ability to communicate 4: Patients who voluntarily participate in this study and sign the informed consent form

Exclusion criteria

Exclusion criteria: 1: Patients who have received particle radiotherapy interrupted for more than 2 weeks 2: Patients with pre-existing malnutrition prior to enrolment 3: Patients with existing psychiatric disorders or a previous history of psychiatric disorders 4: Patients with combined severe cardiac, hepatic, pulmonary or renal insufficiency

Design outcomes

Primary

MeasureTime frame
Nutritional status;—

Secondary

MeasureTime frame
Nutrition Impact Symptoms, NIS;Anxiety and depression level;Quality of life;Pittsburgh sleep quality index;—

Countries

China

Contacts

Public ContactHongwei Wan

Shanghai Proton and Heavy Ion Center

hongwei.wan@sphic.org.cn+86 21 3829 6666

Outcome results

None listed

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