Clinical Management of Anorexia and Cachexia in Patients with Advanced Cancer
Bibliographic record
Abstract
Cachexia occurs in the majority of cancer patients before death. It is the result of major metabolic changes produced by tumor-released substances as well as by cytokines and some endogenous peptides. The most significant clinical manifestation is profound anorexia. Aggressive parenteral nutrition has not been able to increase patient survival or produce any significant symptomatic improvement. Recent research, therefore, has focused on drugs that might result in symptomatic improvement, even if no significant nutritional changes are detected. Corticosteroids have been shown to increase appetite for a brief period of time, but they do not appear to improve caloric intake or nutritional status. In addition to appetite stimulation, corticosteroids also improve a number of other symptoms transiently. Progestational drugs have been found in a number of studies to increase appetite, caloric intake, and nutritional status. The most effective type and dose of progestational drugs have not been clearly established. Cyproheptadine, hydrazine sulfate, and cannabinoids have all been suggested to have beneficial effects on appetite; their effectiveness, however, needs to be confirmed in prospective, controlled trials. Some of these trials are currently under way. Current data suggest that megestrol acetate or other progestational agents could be useful--because of effects on not only appetite but also overall nutritional status--in patients who have profound anorexia as the main manifestation of cachexia, provided expected survival can be measured in weeks or months. In patients with shorter expected survival or those who have problems tolerating progestational drugs, a brief course of corticosteroids may provide short-term symptomatic effects. Future studies should focus on (1) improving understanding of both the pathophysiology of cancer cachexia and the interaction of some of the major syndromes of terminal cancer--e.g., pain, cachexia, and cognitive failure--and (2) characterizing the symptomatic effects of different drugs more completely.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".