Bibliographic record
Abstract
PURPOSE OF REVIEW: To evaluate the evidence regarding decisions made in the perioperative management of patients undergoing ambulatory surgery for the following: the elderly, hyper-reactive airways disease, coronary artery disease, diabetes, obesity, obstructive sleep apnea, the ex-premature infant and the child with an upper respiratory infection. RECENT FINDINGS: Major morbidity and mortality following ambulatory surgery is exceedingly low. Minor adverse cardiac events during the intraoperative period are associated with hypertension and the elderly. Minor adverse respiratory events during the intraoperative period are associated with obesity. Respiratory events during the postoperative period are associated with obesity, smoking and asthma. Prolonged stays following ambulatory surgery are predominantly caused by surgical factors or minor symptoms such as pain or nausea. Surgical factors are also the main causes of unplanned admissions. Age greater than 85, significant co-morbidity and multiple admissions to hospital in the 6 months preceding ambulatory surgery, however, are associated with higher readmission rates. SUMMARY: Evidence indicates that ambulatory anesthesia is currently very safe. Ambulatory surgery, however, is being offered to a population with increasing co-morbidity. As the population undergoing ambulatory surgery changes over time, the evidence regarding patient outcomes will need re-examination.
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 | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".