A Sex Difference in HandScan Scores in Rheumatoid Arthritis Patients and Controls? An Ongoing Analysis of the Sex Difference and Other Potential Confounders
Bibliographic record
Abstract
To the Editor: A recent paper by Triantafyllias, et al described that optical spectral transmission (OST) scores, obtained by the HandScan, were significantly higher in male compared to female patients with rheumatoid arthritis (RA) and controls, and an association between OST score and age, BMI, and hand surface area was found.1 The difference in sex that Triantafyllias, et al showed is in line with results of studies performed at our department. We developed and validated a new disease activity index, Disease Activity Score (DAS)-OST, in which tender and swollen joint counts are replaced by the OST score. In the construction of the DAS-OST formula, sex had to be taken into account, because in this study, OST scores were higher in males than in females.2 In addition, by comparing single OST scores to the rheumatologist’s clinical classification into active or inactive RA as reference, different optimal cutoffs for males and females were calculated, again indicating a sex difference. Based on these findings, we investigated whether this difference in sex was also … Address correspondence to Dr. M.M. Verhoeven, Department of Rheumatology & Clinical Immunology G02.228, P.O. Box 85500, 3508GA Utrecht, the Netherlands. Email: m.m.a.verhoeven-15{at}umcutrecht.nl.
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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 | 0.014 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".