BASDAI versus ASDAS in evaluating axial involvement in patients with psoriatic arthritis: a pooled analysis of two phase 3 studies
Bibliographic record
Abstract
Abstract Objective In the absence of axial psoriatic arthritis (axPsA)-specific tools, the BASDAI and Ankylosing Spondylitis Disease Activity Score (ASDAS) are used to assess axial symptoms in patients with PsA. Here, we assessed the performance of BASDAI and ASDAS in patients with PsA. Methods Patients with active PsA in DISCOVER-1 and DISCOVER-2 (ClinicalTrials.gov: NCT03162796 and NCT03158285, respectively) with or without axPsA but with available baseline BASDAI information were analysed; those with investigator-identified axial symptoms and imaging-confirmed sacroiliitis comprised the axPsA cohort. Correlations between BASDAI/ASDAS and clinical variables were assessed with Pearson’s coefficient (r). Longitudinal effects of enthesitis (Leeds Enthesitis Index [LEI]), swollen joint count and presence versus absence of axPsA on BASDAI/ASDAS (normalized 0–10 scale) were analysed with mixed models for repeated measures. Results At baseline in the axPsA (n = 312) and non-axPsA (n = 124) cohorts, BASDAI scores showed no or weak correlation with swollen joint count (0.18–0.20), tender joint count (0.12–0.29), LEI (–0.04 to 0.24) and physician global assessment (0.35–0.43); moderate correlation with fatigue (both −0.56); and strong correlation with patient global assessment of disease activity (0.62–0.69) and patient-reported pain (0.66–0.70). Similar correlations were observed for ASDAS. Axial involvement versus non-involvement was associated with higher BASDAI scores and ASDAS (all β ≥ 0.5), without differences between instruments; longitudinal associations between swollen joint count (β ≤ 0.06)/LEI (β ≤ 0.19) and BASDAI/ASDAS were clinically unimportant. Conclusion BASDAI and ASDAS performed similarly in patients with active PsA and axial involvement, independent of peripheral disease involvement, supporting their performance in assessing axial disease activity. Trial registration ClinicalTrials.gov, http://clinicaltrials.gov, NCT03162796 and NCT03158285.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".