Work-Related Issues and a High Burden of Disease Are Frequent in Axial Spondyloarthritis: What Should We Be Doing Better?
Bibliographic record
Abstract
Axial spondyloarthritis (axSpA) is a chronic progressive inflammatory disease leading to functional limitations, affecting physical and mental health.1 The impact of axSpA on work productivity is a matter of great concern to society, since this disease starts early in life, and the subsequent loss of productivity contributes to the important socioeconomic burden of axSpA. Further, for patients themselves, work is a key aspect of impact. In a survey, the most important elements linked to quality of life were financial losses, work capacity, memory/concentration, and activities of daily living.2 In this issue of The Journal of Rheumatology , Inman and colleagues have assessed factors associated with work-related issues in Canadian patients with axSpA.3 In all, 542 Canadian patients who participated in an international survey, the International Map of Axial Spondyloarthritis (IMAS) online survey, were analyzed. A first important finding is that, although the mean age was 44 years, only 53% were employed. This number could be compared to the mean employment rate in Canada, which in 2021 was 61%.4 In the IMAS survey, employment status was associated with lower disease activity and a more favorable overall health status. A second finding is related to difficulties when working. The authors found that 90% of patients who were either employed, unemployed, or … Address correspondence to Prof. L. Gossec, Hôpital Pitié Salpêtrière, Service de Rhumatologie, 47-83 bd de l’hôpital, 75013 Paris, France. Email: laure.gossec{at}aphp.fr.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".