Nutrition and aging: assessment and treatment of compromised nutritional status in frail elderly patients
Bibliographic record
Abstract
Nutrition is an important determinant of health in persons over the age of 65. Malnutrition in the elderly is often underdiagnosed. Careful nutritional assessment is necessary for both the successful diagnosis and development of comprehensive treatment plans for malnutrition in this population. The purpose of this article is to provide clinicians with an educational overview of this essential but often underecognized aspect of geriatric assessment. This article will review some common issues in nutrition for the elderly in both hospital and community settings. The complexity and impact of multiple comorbidities on the successful nutritional assessment of elderly patients is highlighted by using case scenarios to discuss nutritional issues common to elderly patients and nutritional assessment tools. Three case studies provide some context for an overview of these issues, which include the physiology of aging, weight loss, protein undernutrition, impaired cognition, malnutrition during hospitalization, screening procedures, and general dietary recommendations for patients 65 years of age and older.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".