The timing of drain removal in parotidectomies: Outcomes of removal at 4 h post-operatively and a Canadian survey of practice patterns
Bibliographic record
Abstract
BACKGROUND: The post-operative management of parotidectomies is highly provider dependent. No guidelines are currently available for timing of parotid drain removal. This study aimed to assess: (1) outcomes and complications after early drain removal (< 4 h, post-operative day [POD] 0) versus late drain removal (POD ≥ 1); (2) current Canadian provider practices. METHODS: A single surgeons ten-year parotidectomy practice was reviewed, spanning his practice change from routine POD ≥ 1 drain removal to POD 0 removal, with extraction of patient demographic, disease, and complication variables. An anonymous, cross-sectional survey on parotid drain practices was distributed to Canadian Society of Otolaryngology-Head and Neck Surgery members. Descriptive statistics, Wilcoxon Rank Sum, and unpaired student's t-tests were calculated. RESULTS: In total, 526 patients were included and 44.7% (235/526) had drains removed POD 0. There was no significant difference in hematoma or seroma rates between the POD 0 and POD ≥ 1 drain removal cohorts. The national survey on parotid drain management had 176 responses. The majority (67.9%) reported routinely using drains after parotidectomy and 62.8% reported using a drain output based criteria for removal. The most common cut-off output was 30 ml in 24 h (range 5-70 ml). CONCLUSION: There was no difference in hematoma or seroma rates for patients with parotid drains removed on POD 0 versus POD ≥ 1. Our national survey found significant variation in Canadian parotidectomy drain removal practices, which may be an area that can be further assessed to minimize hospital resources and improve patient care.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".