Contemporary decongestant practices of Canadian otolaryngologists for endoscopic sinus surgery
Bibliographic record
Abstract
BACKGROUND: Cocaine has traditionally been the topical decongestant most frequently used for visualization of the surgical field in Endoscopic Sinus Surgery (ESS). Alternatives include xylometazoline, oxymetazoline, and epinephrine. The understanding of the safety profile of each agent is changing, as are the practices of Otolaryngologists-Head & Neck Surgeons. The objective of this study is to determine decongestant use practices in ESS across Canada, which has not previously been studied. METHODS: A cross-sectional survey design using a 24-item electronic questionnaire was distributed to actively practicing members of the Canadian Society of Otolaryngology-Head and Neck Surgery via email. A French translated version of the survey was also available. Questions explored the respondents' demographics and decongestion practices for ESS. RESULTS: Ninety-six surveys from otolaryngologists practicing in Canada were completed (19% response rate). The average time in practice was 16.5 years (range 1-50 years, SD 12.0 years). Twenty-six (27%) of respondents use some form of cocaine solution for topical decongestion in ESS. Over a total of over 1500 combined practice-years, eight respondents (8%) personally experienced an adverse event that could be attributed to cocaine, including two mortalities. One cardiac even was directly attributable to the patients' use of recreational cocaine in the immediate pre-operative period. CONCLUSION: The popularity of cocaine for topical decongestion in ESS in present-day Canada is less than in surveys from other countries. However, there are few reported adverse events with long-term consequences that are attributable to intraoperative cocaine. Considering the beneficial effects of cocaine for visualization and pain control, this change in practice warrants further investigation.
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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 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".