Outpatient versus inpatient superficial parotidectomy: Clinical and pathological characteristics
Bibliographic record
Abstract
BACKGROUND: Superficial parotidectomy has a potential to be performed as an outpatient procedure. The objective of the study is to evaluate the safety and selection profile of outpatient superficial parotidectomy compared to inpatient parotidectomy. METHODS: A retrospective review of individuals who underwent superficial parotidectomy between 2006 and 2016 at a tertiary care center was conducted. Primary outcomes included surgical complications, including transient/permanent facial nerve palsy, wound infection, hematoma, seroma, and fistula formation, as well as medical complications in the postoperative period. Secondary outcome measures included unplanned emergency room visits and readmissions within 30 days of operation due to postoperative complications. RESULTS: There were 238 patients included (124 in outpatient and 114 in inpatient group). There was no significant difference between the groups in terms of gender, co-morbidities, tumor pathology or tumor size. There was a trend towards longer distance to the hospital from home address (111 Km in inpatient vs. 27 in outpatient, mean difference 83 km [95% CI,- 1 to 162 km], p = 0.053). The overall complication rates were comparable between the groups (24.2% in outpatient group vs. 21.1% in inpatient, p = 0.56). There was no difference in the rate of return to the emergency department (3.5% vs 5.6%, p = 0.433) or readmission within 30 days (0.9% vs 0.8%, p = 0.952). CONCLUSION: Superficial parotidectomy can be performed safely as an outpatient procedure without elevated risk of complications.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".