Evaluation of the Clinical Relevance of Body Composition Parameters in Patients With Cancer Metastatic to the Liver Treated With Hepatic Arterial Infusion Chemotherapy
Bibliographic record
Abstract
The association between body composition parameters and toxicity from hepatic arterial infusion (HAI) chemotherapy regimens has not been analyzed. We assessed data from patients with advanced cancer and liver metastases treated on a clinical trial of a regimen of HAI oxaliplatin combined with systemic 5-fluorouracil/leucovorin and bevacizumab. Correlations between patient characteristics, response, and toxicity and body composition data taken from CT images were analyzed. Forty-eight of 57 patients (mean age 56 yr; 60% women) had available CT scans. The most common diagnosis was colorectal cancer (22/48, 46%); 30/48 patients (63%) had body mass index (BMI) ≥25 kg/m(2). Twenty (42%) of 48 patients were sarcopenic. Grade 3-4 adverse events did not differ among patients with and without sarcopenia or according to BMI. The median survival (95% C]) was 167 (128-206) days for sarcopenic and 280 (214-346) days for nonsarcopenic patients (P = 0.271). Among patients treated at the maximum tolerated dose, the median survival was 103 days for sarcopenic and 312 days for nonsarcopenic patients (P = 0.173). Sarcopenia was present in 30% (6/20) of patients with reduction in tumor size posttreatment, and in 52% (14/27) of patients with increased tumor size (P = 0.171). In conclusion, body composition was not significantly associated with toxicities or survival in our small sample.
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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 | 0.001 | 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".