Randomized Trial Comparing Patient Comfort Between the Oral and Nasal Insertion Routes for Linear Endobronchial Ultrasound
Bibliographic record
Abstract
BACKGROUND: Linear endobronchial ultrasound (EBUS) is a safe and accurate sampling method for mediastinal adenopathy. The transnasal approach has been proposed to improve patient comfort, but no data compare the oral and nasal routes. The objective was to compare patient comfort during linear EBUS under conscious sedation between the oral and the nasal routes. METHODS: An open-label randomized study comparing the 2 insertion routes for linear EBUS was conducted. Standardized protocols for sedation and topical anesthesia were used. Primary outcome was subjects' comfort measured by a 10-point scale filled 2 hours after the procedure. Willingness to return for a repeat examination, procedural characteristics, complications, and diagnostic yields were also compared. RESULTS: A total of 220 subjects were randomized and allocated to the nasal (n=110) or oral (n=110) route. Twenty-seven subjects in the nasal group (24.5%) had a failed nasal insertion but were analyzed in the nasal group. Procedural characteristics were similar (EBUS duration, doses of sedatives and lidocaine, number of stations sampled, complications). There was no difference between the nasal and oral groups in subjects' comfort (8.3 vs. 8.3, respectively, P=0.99), overall patient satisfaction (8.9 vs. 9.1, respectively, P=0.34), subjects' willingness to return (96% vs. 97%, P=1.00), and physician-reported subject comfort. Rates of adequate specimens and diagnostic yields did not differ significantly between the groups. CONCLUSIONS: For linear EBUS, the nasal and oral approaches confer a similarly high degree of patient comfort with similar complication rates and diagnostic yield. Patient and physician preferences should dictate the route of insertion.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".