Bibliographic record
Abstract
BACKGROUND: Cancer-associated cachexia is a syndrome of progressive wasting of body energy (adipose) and protein (skeletal muscle) reserves. Cachexia occurs in a majority of advanced cancer patients. Extensive loss of muscle mass is one factor likely to be associated with fatigue in cancer patients. METHODS: Research with animal models of cancer-associated cachexia that have focused on the processes of muscle protein synthesis and degradation are reviewed in this article. Modulation of the production or action of anabolic and catabolic factors known to regulate muscle protein synthesis and degradation have been employed to identify causal factors in muscle wasting. RESULTS: Impaired muscle protein synthesis and activation of catabolism participate in cancer-associated muscle atrophy. The relative roles of multiple factors, including a low level of physical activity, poor nutritional status, and secretion of catabolic mediators of host or tumor origin, are discussed herein. A diversity of putative mediators has been identified, and a number of common themes are beginning to emerge. CONCLUSIONS: Multiple distinct catabolic profiles exist in animal models of cancer-associated muscle wasting. The presence of these catabolic phenotypes in cancer patients must be determined, and the application of successful treatments will depend on our ability to determine which categories of patients experience the greatest benefit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".