Impact of body mass index (BMI) and weight changes on recurrence and survival in stage III colon cancer (CC).
Bibliographic record
Abstract
3560 Background: Research suggests that physical activity can lower the risk of relapse and mortality from CC. It is unclear if such potential benefits are mediated through an effect on weight. Our aims were to 1) evaluate the impact of pre-treatment BMI on recurrence and survival in early stage CC, 2) examine how weight gains and losses from baseline may affect outcomes, and 3) explore if the effects of different body compositions are modified by adjuvant therapy (AT). Methods: Patients (pts) diagnosed with stage III CC from 2006 to 2008, evaluated at any 1 of 5 cancer centers in British Columbia, and who had their weights measured serially throughout their AT period were reviewed. Using Cox proportional hazards models, we compared outcomes among a) BMI<25 [normal] vs. 25-30 [overweight] vs. >30 [obese] and b) weight increase or decrease of < vs. >/=5% and < vs. >/=10%, while controlling for confounders. Results: A total of 821 pts were included: median age was 65 years, 50% were men, and 83% were ECOG 0/1. At baseline, 43, 37, and 20% were normal, overweight, and obese, respectively. Compared to pts with normal BMI, those who were overweight or obese did not show an increased risk of recurrence (HR 0.81, 95%CI 0.42-1.58 and HR 1.09, 95%CI 0.48-2.51, respectively, p trend=0.74) or death (HR 0.54, 95%CI 0.26-1.13 and HR 0.62, 95%CI 0.22-1.74, respectively, p trend=0.24). A number of pts experienced weight gain or loss during their AT period, but none of these weight changes affected outcomes (Table). Receipt of AT did not modify the effects of BMI or weight change. In Cox models, advanced age and poor performance status were the main factors that consistently correlated with an increased risk of recurrence and death (p<0.05). Conclusions: Neither baseline BMI nor short-term weight changes during AT appear to affect outcomes in stage III CC. Physical activity likely exert its benefit on relapse and survival by influencing long-term weight changes or acting via other alternative mechanisms. [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 | 0.001 |
| 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 | 0.001 |
| 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".