Obesity and its impact on outcomes in stage III colon cancer (CC) patients receiving adjuvant chemotherapy (AC).
Bibliographic record
Abstract
627 Background: Obesity may complicate CC surgery, which can result in potential AC delays. We aimed to determine the effect of body mass index (BMI) and body surface area (BSA) on CC outcomes, accounting for variations in the time interval between surgery and AC. Methods: We analyzed a population-based cohort of patients from Alberta, Canada who were diagnosed with stage III CC from 2011 to 2016 and underwent AC. Patients were grouped based on their baseline BSA (underweight, < 20 kg/m2; normal, 20-24; overweight, 25-29; obese ≥ 30) and BMI (< 2 m2 vs ≥ 2 m2). Logistic regression models were constructed to examine the effect of BMI/BSA on delays between surgery and AC. The Kaplan-Meier method was used to estimate overall (OS) and cancer-specific survival (CSS) and Cox proportional hazards models were developed to evaluate the impact of BMI/BSA on these outcomes, adjusting for confounders. Results: We examined 915 patients: median age was 64 years, 510 (56%) were men and 155 (17%) had a Charlson comorbidity index (CCI) ≥ 2. In this cohort, 126 (14%), 623 (68%) and 166 (18%) were stage IIIA, IIIB and IIIC, respectively. In total, 132 (14%) were underweight, 452 (49%) normal weight, 233 (26%) overweight and 98 (11%) obese. Based on the Mosteller formula, 527 (58%) patients had normal BSA and 368 (42%) had high BSA. Obese patients were more likely to be men (67% vs 56%, p < 0.001) and had worse CCI (28% vs 17% with CCI ≥ 2, p = 0.03) when compared to non-obese patients. Neither BMI (p = 0.14) nor BSA (p = 0.44) correlated with AC delays after surgery. Similar OS and CSS were observed regardless of BMI and BSA (p = 0.76 and 0.80 for OS and p = 0.60 and 0.89 for CSS, respectively). In multivariate Cox models, only worse nodal stage was associated with inferior OS and CSS (HR 4.74, 95%CI 1.96-11.47, p < 0.001 for OS; HR 4.92, 95%CI 1.42-17.00, p = 0.006 for CSS, comparing IIIC vs IIIA), but BMI and BSA were not (see Table). Conclusions: Obesity as measured by BMI and BSA did not correlate with AC delays or worse outcomes in stage III CC patients. [Table: see text]
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".