Development of a clinical pathway for enhanced recovery in colorectal surgery: a Canadian collaboration
Bibliographic record
Abstract
Summary: Enhanced Recovery After Surgery (ERAS) is a model of care that was introduced in the late 1990s by a group of surgeons in Europe. The model consists of a number of evidence-based principles that support better outcomes for surgical patients, including improved patient experience, reduced length of stay in hospital, decreased complication rates and fewer hospital readmissions. A number of Canadian surgical care teams have already adopted ERAS principles and have reported positive outcomes. Arising from the Canadian Patient Safety Institute’s Integrated Patient Safety Action Plan for Surgical Care Safety, and with support from numerous partner organizations from across the country, Enhanced Recovery Canada is leading the drive to improve surgical safety across the country and help disseminate these ERAS principles. We discuss the development of a multidisciplinary clinical pathway for elective colorectal surgery to help guide Canadian clinicians.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.031 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".