Relationship between spinal mobility and radiographic damage in ankylosing spondylitis and psoriatic spondylitis: a comparative analysis.
Bibliographic record
Abstract
OBJECTIVE: To correlate measures of spinal mobility used in the assessment of spondyloarthritis with radiographic severity, and to compare ankylosing spondylitis (AS) and psoriatic spondylitis (Ps-Sp) in this clinical-radiographic correlation. METHODS: As part of the International SPondyloarthritis Interobserver Reliability Exercise (INSPIRE) study, 20 spondyloarthropathy (SpA) experts met for an examination exercise assessing 19 patients with SpA -- 10 with Ps-Sp (9 men, mean age 52 yrs, mean disease duration 17 yrs) and 9 with AS (7 men, mean age 38 yrs, mean disease duration 16 yrs). Spearman correlation with bias correction was used to correlate median values of the spinal measurements obtained in the INSPIRE study with modified Stoke AS spinal score (mSASSS) and Bath AS Radiology Index-spine (BASRI-s) scores calculated by consensus of 2 assessors. RESULTS: The 2 radiographic measures performed comparably in relation to clinimetrics in the SpA group as a whole. There was very good correlation between mSASSS and the occiput-to-wall distance, tragus-to-wall distance, modified Schober, and lateral spinal flexion in the entire group (rs > 0.64, p < 0.05 for each measure). There was also good correlation between mSASSS and cervical rotation and chest expansion (rs = 0.58 and 0.54, p <0.05, respectively). The clinical-radiographic correlations were comparable in the AS and Ps-Sp, except for cervical rotation, which correlated better with mSASSS in Ps-Sp than in AS. CONCLUSION: Our study documents the structure-function correlations in axial SpA and provides evidence supporting application of radiographic and clinical measures used in AS to studies of Ps-Sp.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".