The Relationship between Risk Attitude and Treatment Choice in Patients with Relapsing-Remitting Multiple Sclerosis
Bibliographic record
Abstract
BACKGROUND: Many patients with multiple sclerosis (MS) eligible for beta-interferons or glatiramer acetate have chosen to forgo or discontinue treatment The objective of this study was to evaluate risk attitude as a patient characteristic related to treatment choice for patients with MS. METHODS: Sixty-two MS patients completed a survey on treatment history, risk preference, and socioeconomic and clinical variables. Multinomial logistic regression was used to assess the relationship between treatment choice and risk attitude. Risk attitude was measured using a standard gamble question on short-term health outcomes. RESULTS: More risk-seeking patients were less likely to choose treatment compared with more risk-averse patients (P < 0.01). Forpatients who discontinued treatment, the explanatory variable of significance was severity of side effects (P < 0.05). CONCLUSIONS: Risk attitude is a patient characteristic related to treatment initiation in patients with MS. This could be an important factor to consider when identifying optimal treatment decisions for individual patients.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".