Advances in minimally invasive surgery in the treatment of colorectal cancer
Bibliographic record
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer-related death in the USA. Surgery is the primary treatment for most patients with CRC. Over the past 15 years, minimally invasive techniques for colorectal surgery have been developed. There is growing evidence that these techniques have significant advantages in short-term outcomes (e.g., postoperative pain and length of hospital stay) with similar long-term recurrence and overall survival. While transanal local excision has been shown to be inferior to radical resection for early rectal cancer, transanal endoscopic microsurgery (TEM) is a minimally invasive technique that appears to facilitate local excision in appropriate patients. TEM combined with radiotherapy has demonstrated promising early results and is currently being investigated in clinical trials as a potential alternative to radical surgery. We summarize the current literature on these minimally invasive approaches to CRC.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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".