The Decline of Elective Colectomy Following Diverticulitis
Bibliographic record
Abstract
BACKGROUND: The indications for interval elective colectomy following diverticulitis are unclear; evidence lends increasing support for nonoperative management. OBJECTIVE: This study aims to evaluate the temporal trends in the use of elective colectomy following diverticulitis. DESIGN: This is a population-based retrospective cohort study using administrative discharge data. SETTING: This study was conducted in Ontario, Canada. PATIENTS: Patients who had had an episode of diverticulitis managed nonoperatively and were eligible for elective colectomy, from 2002 to 2012, were selected. MAIN OUTCOME MEASURES: Changes in the proportion of patients who undergo elective colectomy following an episode of diverticulitis treated nonoperatively were evaluated. Cochran-Armitage was used to test for trends; adjusted analysis was performed by using multivariable logistic regression with generalized estimating equations. RESULTS: A total of 14,124 patients were admitted with an episode of diverticulitis and treated nonoperatively, making them eligible for interval elective colectomy. Median follow-up was 3.9 years (maximum, 10; interquartile range, 1.7-6.4). Overall, 1342 (9.5%) patients underwent elective colectomy; 33% of these colectomies were performed laparoscopically, and 7.5% patients received an ostomy. In-hospital mortality was 0.2%. The majority (76%) of elective operations were performed within 1 year of discharge (median, 160 days; interquartile range, 88-346). The proportion of patients undergoing elective colectomy within 1 year of discharge declined from 9.6% of patients in 2002 to 3.9% by 2011 (p < 0.001). The decline was most pronounced in patients <50 years of age (from 17% to 5%), and those with complicated disease (from 28% to 8%) (all p < 0.001). In multivariable regression, younger age, lower medical comorbidity, complicated disease, and early readmission were associated with elective colectomy. After adjusting for changes in patient characteristics, the odds of elective surgery decreased by 0.93 per annum (adjusted OR; 95% CI, 0.90-0.95). LIMITATIONS: Administrative health databases contain limited clinical detail; the rationale for elective surgery was not available. CONCLUSIONS: Consistent with evolving practice guidelines, there has been a decrease in the use of elective colectomy following an episode of diverticulitis.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".