Randomized clinical trial comparing laparoscopic and open surgery for colorectal cancer within an enhanced recovery programme
Bibliographic record
Abstract
BACKGROUND: Laparoscopic resection of colorectal cancer may improve short-term outcome without compromising long-term survival or disease control. Recent evidence suggests that the difference between laparoscopic and open surgery may be less significant when perioperative care is optimized within an enhanced recovery programme. This study compared short-term outcomes of laparoscopic and open resection of colorectal cancer within such a programme. METHODS: Between January 2002 and March 2004, 62 patients were randomized on a 2 : 1 basis to receive laparoscopic (n = 43) or open (n = 19) surgery. All were entered into an enhanced recovery programme. Length of hospital stay was the primary endpoint. Secondary outcomes of functional recovery, quality of life and cost were assessed for 3 months after surgery. RESULTS: Demographics of the two groups were similar. Length of hospital stay after laparoscopic resection was 32 (95 per cent confidence interval (c.i.) 7 to 51) per cent shorter than for open resection (P = 0.018). Combined hospital, convalescent and readmission stay was 37 (95 per cent c.i. 10 to 56) per cent shorter (P = 0.012). The relative risk of complications, quality of life results and cost data were similar in the two groups. CONCLUSION: Despite perioperative optimization of open surgery for colorectal cancer, short-term outcomes were better following laparoscopic surgery. There was no deterioration in quality of life or increased cost associated with the laparoscopic approach.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".