Feasibility of Same-Day Discharge in Patients Undergoing Laparoscopic Gynaecologic Oncology Surgery
Bibliographic record
Abstract
OBJECTIVES: To evaluate the safety and feasibility of same-day discharge (SDD) of oncology patients undergoing complex laparoscopic gynaecologic oncology surgery. METHODS: A retrospective review including patients from October 2019 to July 2023 undergoing surgical staging for endometrial, tubal, or cervical cancer, treatment for endometrial hyperplasia or pelvic masses. Surgeries included a total laparoscopic hysterectomy. Patients accomplishing SDD were compared with those requiring admission. Data collection included clinical, demographic, and perioperative variables up to 6 weeks after surgery. Univariate and multivariate analyses were conducted. RESULTS: (OR 0.207; 95% CI 0.075-0.569, P = 0.002), operative time ≥181 minutes (OR 0.143; 95% CI 0.057-0.361, P < 0.001), and an operative start time after 2:00 PM or later (OR .135; 95% CI 0.036-0.503, P = 0.003). Patient's location <1 hour away from the centre significantly increased the odds of SDD (OR 2.50; 95% CI 1.068-5.863, P = 0.035). Of 51 patients who accomplished SDD, there was a <4% failure rate, with those who were discharged requiring admission >96 hours postoperatively. The average length of stay was 1.09 days. CONCLUSIONS: SDD is safe and feasible for patients. There are few complications, re-admissions, or unscheduled patient contacts postoperatively. Its success can be increased by refining patient selection using predictive variables.
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How this classification was reachedexpand
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".