Allergic Fungal Rhinosinusitis Diagnosis, Management, Associated Conditions, Pathophysiology, and Future Directions: Summary of a Multidisciplinary Workshop
Bibliographic record
Abstract
Allergic fungal rhinosinusitis (AFRS) is a unique endotype of chronic rhinosinusitis with nasal polyps (CRSwNP). Despite high recurrence rates and often more severe presenting signs compared with other subtypes of CRSwNP, research dedicated to AFRS has been lacking. Diagnostic criteria are outdated, the mechanistic relationship of AFRS to other associated diseases is unclear, and the pathophysiology of disease and risk factors for recurrence have not been well studied. In December 2023, a multidisciplinary group of rhinologists, otolaryngologists, pulmonologists, allergists, immunologists, scientists, and infectious disease experts met at the National Institute of Health to discuss unmet needs for future AFRS research and care, including patient management, diagnostic criteria, severity, pathophysiology, and related conditions. A summary of these clinical and associated research discussions is included below.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".