Axial Spondyloarthritis Treatment Recommendations and Disease Activity Monitoring in Clinical Practice: Results of an Online Survey
Bibliographic record
Abstract
OBJECTIVE: Clinical practice guidelines are not always followed consistently. To better understand potential barriers to the implementation of treatment recommendations in axial spondyloarthritis and ankylosing spondylitis (axSpA/AS), an online survey was conducted. METHODS: Email invitations were sent to US rheumatology care providers in January 2023. The questionnaire included 20 questions, with an estimated completion time of 5-7 minutes. RESULTS: One hundred four of 441 (24%) invitees participated, including 80/104 (77%) board-certified rheumatologists and 20/104 (19%) fellows. Survey participants identified UpToDate (85%), treatment guidelines (74%), and colleagues (54%) as relevant sources of knowledge for managing axSpA/AS. Of the participants, 64% and 53% considered themselves to be at least moderately familiar with the American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network (ACR/SAA/SPARTAN) and Assessment of Spondyloarthritis international Society/European Alliance of Associations for Rheumatology (ASAS/EULAR) treatment recommendations for axSpA/AS, respectively. Whereas 69% of participants agreed or strongly agreed that disease activity scores are useful for making treatment decisions in axSpA/AS, only 37% measure patient-reported outcomes (PROs) frequently (≥ 50% of clinic visits) while 82% do so for C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR). PROs are typically recorded during clinic encounters (65%) and CRP/ESR are obtained after the visit (86%). Of the participants, 57% and 47% considered the Bath Ankylosing Spondylitis Disease Activity Index and Ankylosing Spondylitis Disease Activity Score to be at least moderately useful for measuring disease activity in axSpA/AS, respectively; 41% and 37% thought the same about the ASAS 20% improvement criteria and Clinical Disease Activity Index, respectively. CONCLUSION: Treatment guidelines are an important resource for rheumatologists who manage patients with axSpA/AS. Although there is general agreement that disease activity monitoring is important, the implementation of the respective recommendations is lacking. Reasons may include lack of familiarity and an underdeveloped infrastructure to efficiently collect PROs.
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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 | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".