The Association between Obesity and Colorectal Cancer
Bibliographic record
Abstract
Obesity has become a major issue for healthcare providers as its prevalence continues to increase throughout the world. The literature suggests that increased body mass index (BMI) is associated with the development of certain cancers such as colorectal cancer (CRC). Consequently, CRC surgeons are now encountering an increasing number of obese patients which may influence the technical aspects and outcomes of surgical treatment. For instance, obese patients present with greater comorbidities preoperatively, which adds increasing complexity and risks to surgical management. Recent literature also suggests that obesity may increase operating time and conversion rates to open colorectal surgery. Postoperative outcomes may also be influenced by obesity; however, this currently remains controversial. There is evidence that survival rates after CRC surgery are not influenced by obesity. In summary, obesity presents challenges to CRC surgeons, and further research will be needed to show how this important characteristic influences the outcomes for CRC patients.
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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 | 0.004 | 0.002 |
| 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 | 0.001 |
| 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".