Do Laryngologists and General Otolaryngologists Manage Laryngopharyngeal Reflux Differently?
Bibliographic record
Abstract
OBJECTIVE: To investigate current practices of laryngologists and non-laryngologists in management of Laryngopharyngeal Reflux (LPR). METHODS: An online survey was sent to members of otolaryngology societies about LPR, and subgroup analysis was performed between laryngologists and non-laryngologists. This survey was conducted by the LPR Study Group of Young Otolaryngologists of the International Federation of Otolaryngological Societies. RESULTS: A total of 535 otolaryngologists completed the survey. Among them, 127 were laryngologists and 408 were non-laryngologists. Collectively, symptoms most commonly attributed to LPR are cough after lying down/meal, throat clearing, and acid brash; most common findings are thought to be arytenoid erythema and posterior commissure hypertrophy. Respectively, 12.5% and 5% of non-laryngologists and laryngologists believe that ≥50% of LPR patients suffer from heartburn (P = .010). Non-laryngologists are more aware about some extra-laryngeal findings associated with LPR (eg, pharyngeal erythema) than laryngologists. Neither laryngologists nor non-laryngologists associated development of benign lesions of the vocal folds with reflux. The management of LPR substantially differs between groups, with laryngologists indicating increased awareness of (impedance)-pH monitoring as well as the prevalence and treatment of nonacid/mixed LPR. Conversely, non-laryngologists are much more likely to include gastroenterology referral in their management of presumed LPR. Respectively, 44.8% and 27.6% of non-laryngologists and laryngologists believe themselves not sufficiently knowledgeable about LPR. CONCLUSIONS: Significant differences exist between laryngologists and non-laryngologists in diagnosis and treatment of LPR. Overall only one-third of responders believe themselves to be sufficiently educated about LPR. LEVEL OF EVIDENCE: 4 Laryngoscope, 130:E539-E547, 2020.
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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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".