The Impact of Muscle and Adipose Tissue on Long-term Survival in Patients With Stage I to III Colorectal Cancer
Bibliographic record
Abstract
BACKGROUND: Computed tomography-derived body composition parameters are emerging prognostic factors in colorectal cancer. OBJECTIVE: This study aimed to determine the roles of sarcopenia, myosteatosis, and obesity as independent and overlapping parameters in stage I to III colorectal cancer. DESIGN: This is a retrospective cohort study from a prospectively collected database. Multivariate Cox proportional hazards models were performed to assess the associations between body composition parameters and survival. SETTINGS: All patients were seen in a tertiary care cancer center. PATIENTS: Adult patients with stage I to III colorectal cancer, undergoing curative resection from 2007 to 2009, were included. INTERVENTION: Computed tomography-derived quantification of skeletal muscle and adipose tissues was used to determine population-specific cutoffs for sarcopenia, myosteatosis, and total adiposity. MAIN OUTCOME MEASURES: Primary outcome measures were overall, recurrence-free, and cancer-specific survival. RESULTS: In the 968 patients included, there were a total of 254 disease recurrences and 350 deaths. Body mass index and CT-derived measures of adiposity did not result in worse survival outcomes. Sarcopenia was independently predictive of worse overall (HR, 1.45; 95% CI, 1.16-1.84), recurrence-free (HR, 1.32; 95% CI, 1.00-1.75), and cancer-specific survival (HR, 1.46; 95% CI, 1.09-1.94) in a multivariate model. Myosteatosis was also independently predictive of overall survival (HR, 1.53; 95% CI, 1.19-1.97). In a model considering joint effects of sarcopenia and myosteatosis, the presence of both predicted the worst overall (HR, 2.23; 95% CI, 1.62-3.06), recurrence-free (HR, 1.53; 95% CI, 1.06-2.21), and cancer-specific survival (HR, 2.40; 95% CI, 1.69-3.42) in a multivariate model. LIMITATIONS: The limitations of this study are inherent in retrospective observational studies. CONCLUSIONS: Sarcopenia and myosteatosis are independent predictors of worse survival in stage I to III colorectal cancer, and their joint effect is highly predictive of reduced overall, recurrence-free, and cancer-specific survival. See Video Abstract at http://links.lww.com/DCR/A923.
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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".