Nutrition impact symptoms: Key determinants of reduced dietary intake, weight loss, and reduced functional capacity of patients with head and neck cancer before treatment
Bibliographic record
Abstract
BACKGROUND: Our aim was to evaluate the prevalence and relationship of symptoms with reduced dietary intake, weight, and functional capacity in patients with head and neck cancer. METHODS: Three hundred forty-one patients were prospectively screened with the patient-generated subjective global assessment before treatment. Logistic analysis was used to relate symptoms to reduced dietary intake, weight, and functional capacity. Cumulative hazard analysis was performed to determine the time and risk of weight loss of each symptom. Survival analysis was performed with Cox proportional hazards model. RESULTS: Anorexia, dysphagia, mouth sores, and others were significant predictors of reduced dietary intake and weight. Symptom presence accelerated the time and probability of weight loss. Body mass index < or = 18.5 related to overall survival (p value = .001). CONCLUSIONS: Symptoms present before treatment may adversely affect the dietary intake, weight, and functional capacity of patients. Symptom treatment and management is critical to weight loss prevention.
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".