Canadian Rheumatology Association/Spondyloarthritis Research Consortium of Canada Living Treatment Recommendations for the Management of Axial Spondyloarthritis
Bibliographic record
Abstract
OBJECTIVE: To provide a set of living treatment recommendations that will give contemporary guidance on the management of patients with axial spondyloarthritis (axSpA) in Canada. METHODS: The Spondyloarthritis Research Consortium of Canada (SPARCC), in conjunction with the Canadian Rheumatology Association, organized a treatment recommendations panel composed of rheumatologists, researchers, allied health professionals, and a patient advocate. A Grading of Recommendations Assessment, Development, and Evaluation (GRADE)-ADOLOPMENT approach was used, in which existing guidelines were adopted or adapted to a Canadian context. Recommendations were also placed in a health equity framework. RESULTS: Fifty-six recommendations were made for patients with active axSpA, stable axSpA, active or stable axSpA, for comorbidities, and for assessment, screening, and imaging. Recommendations were also made for principles of management, disease monitoring, and ethical considerations. CONCLUSION: These living treatment recommendations will provide up-to-date guidance for the management of axSpA for Canadian practice. As part of the living model, they will be updated regularly as changes occur in the treatment landscape.
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 | 0.011 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".