Bridging the Gap Between Symptom Onset and Diagnosis in Axial Spondyloarthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate a stratified screening process for the early identification of axial spondyloarthritis (SpA) with consideration of the following: 1) wait times from primary care to rheumatology screen, 2) incremental precision and accuracy from primary care to rheumatology screening, and 3) diagnostic delay. METHODS: Adults with low back pain attending primary care at low back pain clinics prospectively underwent a primary standardized clinical screening. Patients with low back pain of >3 months who experienced symptom onset at age <50 years were referred for a comprehensive secondary screening by a physical therapist with advanced rheumatology training. At secondary screening, patients with features of inflammation were classified as being at a low, medium, or high risk for axial SpA versus no risk for axial SpA. Precision and accuracy of this screening strata were measured against a rheumatologist with expertise in axial SpA. RESULTS: Overall, 405 patients underwent primary and secondary screening in the present study. The study cohort had a mean ± SD age of 36.9 ± 9.9 years, and 55% were women. HLA-B27 was present in 14.4% of patients. Median wait time from primary screening to secondary screening was 15 days. Axial SpA risk assignment by rheumatologist was 64.9% for no risk or low risk for axial SpA and 35.1% for medium risk or high risk for axial SpA. The best combination of sensitivity (68%), specificity (90%), positive predictive values (80%), and negative predictive values (84%) was evident in the secondary screening. In this cohort, 15.6% of patients received a final diagnosis of axial SpA. Median low back pain duration from symptom onset to diagnosis was 2 years for nonradiographic axial SpA and 7 years for ankylosing spondylitis. CONCLUSION: A stratified interprofessional screening process can facilitate rapid diagnosis of persistent low back pain with high precision and accuracy in patients who have axial SpA.
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 | 0.013 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".