Evaluation of Nutritional, Inflammatory, and Fatty Acid Status in Patients with Gastric and Colorectal Cancer Receiving Chemotherapy
Bibliographic record
Abstract
Malnutrition is prevalent in gastrointestinal (GI) cancer patients, possibly due to inflammation and altered fatty acids (FA). There is a lack of research describing nutritional decline in these patients during chemotherapy. We described changes in nutritional, inflammatory, and FA status over time and factors relating to change in nutritional status according to tumor presence in 41 GI cancer patients undergoing first-line treatment over four chemotherapy visits, using linear mixed effects models. At baseline, 53% of patients were malnourished. Over time, there was a decrease in the proportion of malnourished vs. well-nourished individuals (β= −0.564, p < 0.01). Median concentrations of plasma linoleic acid, arachidonic acid, eicosapentaenoic acid, docosahexaenoic acid, total n-3, total n-6 and total plasma phospholipid FA increased over time. Changes over time in nutritional status based on weight (p < 0.001), fat free mass (FFM) measured by bioelectrical impedance analysis (BIA, p = 0.02), and skinfold anthropometry (FSA, p = 0.04) were significantly dependent on tumor presence. There were positive associations between weight and total n-3 (β = 0.02, p < 0.01), FFM and IL-6 (BIA, β = 0.028, p = 0.02; FSA, β = 0.03, p = 0.02), and FFM and total n-6 (BIA, β = 0.003, p = 0.01). Changes in nutritional status during chemotherapy were negatively impacted by tumor presence, and were associated with increasing concentrations of cytokines and FA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".