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Green Approach to Improved Nutritional Support for Cancer Patients

NCT05544318 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 130

Last updated 2025-09-08

No results posted yet for this study

Summary

In this study, we aim to reduce the burden of malnutrition in cancer patients by implementing and evaluating an improved nutritional support, using digital communication and registration tools during the clinical pathway. The project targets a group of patients with a high frequency of malnutrition, due to cancer and the subsequent therapy, where knowledge on the efficient and cost-effective treatment is scarce. The effect of the improved nutrition support will be evaluated in a randomised controlled trial, and the primary endpoint is the prevalence of malnutrition. The long-term goal is to benefit the patients by increasing the completion rate of cancer treatment, reducing the infection rate, need for antibiotics, the total length of hospital stays and number of non-elective re-admissions, and thus increasing the patients' quality of life and survival. The project will be patient-orientated and result in a sustainable approach for the management of malnutrition.

Conditions

  • Malnutrition

Interventions

OTHER

Diatary advices

Advice regarding energy, protein and nutrient intake during cancer treatment

Sponsors & Collaborators

  • University of Oslo

    lead OTHER

Principal Investigators

  • Christine Henriksen, PhD · University of Oslo

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-01
Primary Completion
2025-10-31
Completion
2026-04-30

Countries

  • Norway

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05544318 on ClinicalTrials.gov