Back to the Future: Is the Schober Test Dispensable in Juvenile Spondyloarthritis?
Bibliographic record
Abstract
Successful completion of clinical trials requires validated outcome measures. There are several measures used in adult patients with axial spondyloarthritis (axSpA), including the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and the Ankylosing Spondylitis Disease Activity Score (ASDAS).1,2 However, these have not been studied in pediatric patients. Although there are obvious similarities between pediatric and adult SpA, there are important clinical differences as well, including the long-recognized observation of more frequent peripheral involvement in children as compared to adults.3 Thus, the development of a disease activity index specific to the juvenile SpA population by Weiss and colleagues in 2014, called the Juvenile Spondyloarthritis Disease Activity Index (JSpADA; Table 1), was a welcome addition.4 Although the JSpADA includes features that are also present in the ASDAS and BASDAI, including morning stiffness and enthesitis, it is unique in that it also incorporates active peripheral arthritis as well as uveitis. The JSpADA has been accepted by the pediatric rheumatology community, as evidenced by usage in several subsequent studies.5-7 View this table: Table 1. Features of the original JSpADA4 and variants proposed by Srinivasulu et al.9 A limitation to any data collection instrument is that it is only as good as the completeness of the data that are collected. For example, a recent study using the Pediatric Rheumatology International Trials Organisation registry documented that only 52% to 61% of critical data elements were collected in the database.8 The JSpADA requires complete data, as missing data in a given domain would result in a score of zero for that domain and thus would have the same statistical impact as the known absence of disease features in that domain. The current edition of The Journal of Rheumatology includes an assessment of the JSpADA in which either or both of the … Address correspondence to Dr. M.L. Stoll, 1600 7th Avenue South, Children’s Park Place Suite G10, Birmingham, AL 35233, USA. Email: MStoll{at}uabmc.edu.
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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 | 0.068 | 0.259 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.007 | 0.017 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".