Clinical trial · Observational
Comprehensive Nutritional Geriatric Assessments in Identifying Malnutrition in Older Cancer Participants
Malnutrition in Older Cancer Patients
NCT03035604CI-TRIAL-00112441active not recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This trial studies how well comprehensive nutritional geriatric assessments work in identifying malnutrition in older cancer participants. Comprehensive nutritional geriatric assessments may help doctors learn about ways to check for malnutrition (loss of weight/appetite that may result in health problems) that is due to cancer or cancer treatment.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Hematopoietic and Lymphoid Cell Neoplasm | Hematopoietic and Lymphoid Cell Neoplasm | ONTOLOGY_EXACT | 0.98 |
| Malignant Solid Neoplasm | Malignant Solid Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Comprehensive Geriatric Assessment | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Nutritional geriatric assessment
- description
- Participants undergo nutritional geriatric assessment over 15 minutes in person or on the phone every 3 months for 12 months.
- interventionNames
- Other: Comprehensive Geriatric Assessment
Primary outcomes (1)
- measure
- Mortality
- timeFrame
- At 6 months
- description
- The association between nutrition status and mortality (6-month and 1-year mortality since geriatric assessment) will be assessed by logistic regression analysis, considering mortality as a response variable. Univariate logistic regression analysis will be used to estimate the crude odds ratio, and multivariable logistic regression will be used to estimate the adjusted odds ratio, after controlling for potential confounder variables, such as age, race, cancer type, cancer stage, co-morbidity, cognitive status), and frailty. ROC curve to predict 6-month and 1-year mortality will be constructed for nutritional status, as determined by each screening tool. The area under the ROC curve, sensitivity, and specificity and 95% confidence intervals will be obtained for each screening tool.
Secondary outcomes (4)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 65 Years
Show eligibility criteria text
Inclusion Criteria: * With hematologic and solid tumor cancers. * Undergo a comprehensive geriatric assessment by a geriatrician. Exclusion Criteria: * Unable or unwilling to sign consent form. * Life expectancy under 6 months.
References
Publications (0)
Data not yet available
No reference posted for this study.