Canadian guidelines for rhinosinusitis: practical tools for the busy clinician
Bibliographic record
Abstract
Acute bacterial rhinosinusitis (ABRS) and chronic rhinosinusitis (CRS) frequently present in clinical practice. Guidelines for management of these conditions have been published extensively in the past. However, a set of guidelines that addressed issues specific to the Canadian environment while offering clear guidance for first-line clinicians was needed, and resulted in the recent publication of Canadian clinical practice guidelines for ABRS and CRS. In addition to addressing issues specific to Canadian physicians, the presented guidelines are applicable internationally, and offer single algorithms for the diagnosis and management of ABRS and CRS, as well as expert opinion in areas that do not have an extensive evidence base. This commentary presents major points from the guidelines, as well as the intended impact of the guidelines on clinical practice.See guidelines at: http://www.aacijournal.com/content/7/1/2.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.108 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.017 | 0.020 |
| Insufficient payload (model declined to judge) | 0.013 | 0.010 |
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".