Is the Increasing Rate of Local Excision for Stage I Rectal Cancer in the United States Justified?
Bibliographic record
Abstract
In Brief Objective: Determine rates of local excision (LE) over time, and test the hypothesis that LE carries increased oncologic risks but reduced perioperative morbidity when compared with standard resection (SR). Summary Background Data: Despite the lack of level I/level II evidence supporting its oncologic adequacy, LE is performed for stage I rectal cancer. Methods: Surgical therapy for 35,179 patients with stage I rectal cancer diagnosed in 1989 to 2003 was examined over time, utilizing the National Cancer Database. A special study then analyzed perioperative outcomes, local recurrence and survival in 2124 patients diagnosed between 1994 and 1996, including 765 (T1, 601; T2, 164) treated by LE and 1359 (T1, 493; T2, 866) treated by SR. Results: From 1989 to 2003, the use of LE has increased (T1, 26.6–43.7%; T2, 5.8–16.8%; P < 0.001 both). The special study demonstrated significantly lower 30-day morbidity after LE versus SR (5.6% vs. 14.6%; P < 0.001). After adjusting for patient and tumor characteristics, the 5-year local recurrence after LE versus SR was 12.5 versus 6.9% (P = 0.003; hazard ratio = 0.38; 95% CI, 0.23–0.62) for T1 tumors, and 22.1 versus 15.1% (P = 0.01; hazard ratio = 0.69; 95% CI, 0.44–1.07) for T2 tumors. The 5-year overall survival (T1, 77.4% vs. 81.7%, P = 0.09; T2, 67.6% vs. 76.5%, P = 0.01) was influenced by age and comorbidities but not the type of surgery. Conclusions: This study provides the best evidence for both the increasing use and the associated risks of LE versus SR. For each individual patient, the benefits of LE must be balanced against the heightened risk of local failure. Local excision (LE) preserves the sphincter and is performed for stage I rectal cancer despite the lack of level I/level II evidence supporting its oncologic adequacy. This nationwide study investigated time trends in the use of LE and established rates of local recurrence, survival, and perioperative complications for LE versus standard resection.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".