Committed to be fit. The value of preoperative care in the perioperative medicine era
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
In the era of perioperative medicine, important advances have been made in the perioperative care of patients, usually within those known as enhanced recovery after surgery (ERAS) protocols. These have led to a decrease in postoperative complications and the duration of hospital stays; however, there is still a lack of preoperative care, which could make perioperative medicine more prominent. Elderly patients, malnourished, anemic and ones with a low physical function before surgery are likely to have sub-optimal recovery from surgery. More importantly, a low functional reserve, together with the inherent physiological stress of surgery, reduces the functional capacity of patients in the postoperative period, meaning that they will not reach their preoperative functional capacity. It is well established that both preoperative malnutrition and anemia worsen surgical results, however, for various reasons, their preoperative optimization is complex. Additionally, both are related to the functional capacity of patients. During the last years, prehabilitation has been incorporated into ERAS protocols. Prehabilitation consists of exercise training and nutritional and psychological support, which increases the physiological reserve before surgical stress. The integration of exercise, adequate nutrition, anemia correction and psycho-social components, with multi-modal optimization in the preoperative period leads to an improvement in the functional capacity of the patients undergoing surgery, with the consequent improvement in terms of outcomes. The present article discusses specific aspects of preoperative care which are not well defined in the ERAS protocols and which represent fundamental shifts in surgical practice, including preoperative nutrition, management of preoperative anemia and prehabilitation.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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