Bibliographic record
Abstract
Introduction: same-day discharge (sdd) after robot-assisted radical prostatectomy (rArp) has been shown to be feasible and safe in centers outside of Canada; however, heterogeneity exists in the inclusion criteria for those offered sdd in published literature.our objective was to determine patient-specific and intraoperative predictors for failure of sdd for patients undergoing rArp at a Canadian center.Methods: A retrospective review was conducted of patients undergoing rArp at a Canadian tertiary academic center from may 2021 to may 2023.multivariate regression analysis determined predictors for non-initiation and failure of sdd (graphpad prism, Boston, mA, U.s.).Results: We identified 387 patients, of whom 201 (51.9 %) were initiated on the sdd pathway. of those initiated, 104 (51.7 %) were successfully discharged home the same day.patients who traveled distances >100 km or who had obstructive sleep apnea (osA) were significantly less likely to be initiated on the sdd pathway (table 1).no association existed between patient body mass index ≥30 kg/m2, age ≥65, American Anesthesia society (AsA) score ≥3, or case order on being initiated on the pathway (all p>0.05). of those initiated on the sdd pathway, cases that were scheduled to be second or later, had an estimated blood loss ≥300 ml, or had a postoperative abdominal drain resulted in an increased likelihood of failing sdd after initiation.operative time and AsA ≥3 had no significant relationship with failing sdd (all p>0.05).Conclusions: We found that patients who live a greater distance from the hospital or who have a medical history of osA are predictive of not being initiated on the sdd pathway. of those initiated, postoperative abdominal drains, increased intraoperative blood loss, or being the second/third case of the day are more likely to fail sdd. the results of this study inform potential inclusion and exclusion criteria for sdd pathways being developed in Canada.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.414 | 0.192 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".