Sarcopenia and myosteatosis at presentation adversely affect survival after esophagectomy for esophageal cancer
Bibliographic record
Abstract
Background Esophageal cancer remains a disease with poor survival and many complications. Measuring muscle mass and quality can identify patients with diminished muscle mass (sarcopenia) and muscle fat infiltration (myosteatosis). We studied the impact of sarcopenia and myosteatosis in resectable esophageal cancer on overall survival and complications. Patients and methods 139 patients received a radical esophagectomy. Skeletal muscle area (SMA) and muscle attenuation (MA) in CT images at L3 level were recorded and groups with and without sarcopenia and myosteatosis were compared for overall survival (OS), perioperative mortality, conduit complications, pleuropulmonary complications, respiratory failure requiring mechanical ventilation and other significant complications. Results Prevalence of sarcopenia and myosteatosis at presentation was 16.5% and 51.8%, respectively. Both were associated with decreased OS. Median survival was 18.3 months (CI 5.4-31.1) vs 31.0 months (CI 7.4-54.6) for sarcopenia/no sarcopenia (log rank p = 0.042) and 19.0 months (CI 13.3-24.7) vs 57.1 months (CI 15.2-99.0) for myosteatosis (log rank p = 0.044), respectively. A relationship between sarcopenia and myosteatosis and other negative outcomes after esophagectomy could not be established. Conclusions Sarcopenia and myosteatosis before esophagectomy are associated with decreased overall survival but not with more frequent perioperative complications. Identification of patients at risk can guide therapeutic decisions and interventions aimed at replenishing muscle reserves.
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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".