Enhanced recovery after surgery compliance and outcomes in an international multisurgical cohort
Bibliographic record
Abstract
BACKGROUND: Enhanced recovery after surgery is associated with improved clinical outcomes and cost savings. Comparisons between studies and settings are challenging owing to variable data collection and definitions. The objective of this study was to explore variation in compliance with enhanced recovery after surgery and outcomes across surgery types and countries using a standardized database. METHODS: This international retrospective cohort study included adult patients who underwent surgical procedures (colorectal, gynaecological, pancreatic, hepatic, breast reconstruction, head and neck, urological, pulmonary), treated with enhanced recovery after surgery recorded in a standardized database between January 2017 and September 2021. The primary outcomes, length of hospital stay and complications, and the exposure variable, compliance with enhanced recovery after surgery, were captured from the standardized database. Patient demographic characteristics and surgical complexity were abstracted and considered as co-variates. Negative binomial and logistic regression analyses were used to model outcomes as a function of enhanced recovery after surgery compliance score. RESULTS: The cohort included 12 134 patients (from Canada, the Netherlands, and Switzerland) who had median age of 63 years and underwent colorectal (59%) or gynaecological (19%) surgery. The median compliance with enhanced recovery after surgery differed by country (Canada 78.6%, the Netherlands 67.7%, Switzerland 80.0%). Each 1-unit increase in enhanced recovery after surgery compliance score corresponded to reduced length of hospital stay across all operations, by 0.94 (95% confidence interval (c.i.) 0.85 to 1.04) days in Canada, 1.03 (0.85 to 1.20) days in the Netherlands, and 1.55 (1.12 to 1.97) days in Switzerland. Each 1-unit increase in enhanced recovery after surgery compliance score corresponded to a 29 (95% c.i. 25 to 33)% reduction in odds of experiencing a severe complication across all operations in Canada, a 22 (14 to 31)% reduction in the Netherlands, and a 5 (2 to 8)% reduction in Switzerland. CONCLUSION: Using a standardized database, this study confirmed that enhanced recovery after surgery compliance is associated with reduced length of hospital stay and complications in an international multisurgical cohort.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".