The Status of Radical Proctectomy and Sphincter-Sparing Surgery in the United States
Bibliographic record
Abstract
PURPOSE: Worldwide, "centers of excellence" in rectal cancer surgery report high rates of anal sphincter-sparing surgery (70-90 percent) after proctectomy. The rate of sphincter-sparing surgery with reestablishment of intestinal continuity in the general population of the United Stares is unknown. METHODS: We used data from the Nationwide Inpatient Sample, a 20 percent stratified random sample of patients admitted to hospitals in the United States. We identified patients with rectal cancer from 1988 through 2003 who underwent sphincter-sparing surgery with reestablishment of intestinal continuity or proctectomy with colostomy. To determine predictors of sphincter-sparing surgery with reestablishment of intestinal continuity, we constructed a multivariate model that analyzed patients' age, gender, race, insurance status, and income level. RESULTS: During our 16-year study period, radical extirpative procedures were performed in 41,631 patients: 16,510 (39.7 percent) sphincter-sparing surgery with reestablishment of intestinal continuity, and 25,121 (60.3 percent) sphincter-sacrificing procedures. The proportion of sphincter-sparing procedures increased from 26.9 percent in 1988 to 48.3 percent in 2003 (P < 0.001). There has been no significant change in the rate of sphincter-sparing surgery since 1999 (P = not significant). Logistic regression revealed that patients who were older, male, black, used Medicaid insurance, or lived in lower-income zip codes were less likely to have sphincter-sparing surgery with reestablishment of intestinal continuity (P < 0.001). CONCLUSIONS: Despite a significant increase in the rate of sphincter-sparing surgery with reestablishment of intestinal continuity, most radical resections for rectal cancer in hospitals in the United States result in a colostomy. Patients vulnerable to proctectomy without sphincter preservation were older, male, black, used Medicaid insurance, or lived in lower income zip codes.
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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 | 0.003 |
| 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) | 0.003 | 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".