Early urinary catheter removal after rectal surgery: systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background Urinary catheters are placed after rectal surgery to prevent urinary retention, but prolonged use may increase the risk of urinary tract infection (UTI). This review evaluated the non-inferiority of early urinary catheter removal compared with late removal for acute urinary retention risk after rectal surgery. Methods MEDLINE, Embase and the Cochrane Central Register of Controlled Trials were searched from January 1980 to February 2019. RCTs comparing early versus late catheter removal after rectal surgery were eligible. Primary outcomes were acute urinary retention and UTI; the secondary outcome was length of hospital stay. Early catheter removal was defined as removal up to 2 days after surgery, with late removal after postoperative day 2. The non-inferiority margin from an included trial was used for analysis of change in urinary retention (ΔNI = 15 per cent). Pooled estimates of risk differences (RDs) were derived from random-effects models. Risk of bias was assessed using a modified Cochrane risk-of-bias tool. Results Four trials were included, consisting of 409 patients. There was insufficient evidence to conclude non-inferiority of early versus late catheter removal for acute urinary retention (RD 9 (90 per cent c.i. −1 to 19) per cent; PNI = 0·31). Early catheter removal was superior for UTI (RD −11 (95 per cent c.i. −17 to −4) per cent; P = 0·001). Results for length of stay were mixed. There were insufficient data to conduct subgroup analyses. Conclusion The existing literature is inconclusive for non-inferiority of early versus late urinary catheter removal for acute urinary retention. Early catheter removal is superior in terms of reducing the risk of UTI.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.025 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".