Enhanced recovery after surgery: implementing a new standard of surgical care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
nhanced recovery after surgery (ERAS) is an evidencebased and multidisciplinary perioperative care pathway and a surgical quality improvement initiative, which has been shown to promote patient mobilization, reduce complication rates after surgery, decrease hospital length of stay and reduce costs, if carefully implemented. There is an increasing interest across Canada to implement enhanced recovery after surgery recommendations. 1 Several Canadian institutions have succeeded in implementing an official ERAS protocol. However, it can be challenging to start such a program 2 because it requires multidisciplinary effort and the buy-in of many stakeholders. Because the ERAS approach has been shown to decrease the stress of surgery 3 through its objective to maintain patients' normal physiology as far as possible, any patient undergoing surgery could benefit from the approach.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it