Defunctioning Ileostomy Reversal Rates and Reasons for Delayed Reversal: Does Delay Impact on Complications of Ileostomy Reversal? A Study of 170 Defunctioning Ileostomies
Bibliographic record
Abstract
BACKGROUND: Temporary defunctioning ileostomy can reduce the consequences of anastomotic leak following low anterior resection. However, some patients never have their ileostomy reversed and in other cases the time to reversal of ileostomy can be delayed. The aim of this study was to identify the ileostomy closure rate following anterior resection, time to closure of ileostomy, reasons for delay in reversal and whether delay was associated with an increased complication rate. METHODS: Data were collected retrospectively on consecutive patients undergoing defunctioning ileostomy following anterior resection for rectal cancer, between January 2009 and August 2013. Data were collected on reversal of ileostomy rates, time to reversal, reasons for delayed reversal (defined as > 6 months) and complications following reversal. RESULTS: One hundred seventy patients were studied (median age 69 years, range 41 - 90 years), of whom 117 (69%) were male. One hundred twenty-seven (75%) patients had their ileostomies reversed. Median time to reversal was 6 months (range 1 - 42). In 63 patients who had delayed reversal, reasons were adjuvant chemotherapy (22, 35%), medical illness (14, 22%), anastomotic leak (9, 14%), and others (4, 7%). Postoperative complications occurred in 33 patients (26%). There was no postoperative mortality. Univariate analysis showed that delayed reversal was associated with an increased rate of complications and longer length of hospital stay following reversal (P < 0.05). CONCLUSIONS: One in four defunctioning ileostomies are not closed following anterior resection in our unit. Of those that are closed, approximately 50% have delayed closure beyond 6 months which is associated with increased risk of complications following their ileostomy reversal.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".