To treat or not to treat? Current attitudes on treatment aimed at modifying the disease burden in clinically suspect arthralgia: a survey among participants of the TREAT EARLIER trial and healthcare professionals
Bibliographic record
Abstract
OBJECTIVES: While awaiting therapies accomplishing rheumatoid arthritis (RA)-prevention in individuals at-risk, recent evidence supports that a 1-year methotrexate treatment may lead to sustained reduction in disease burden and subclinical joint inflammation in patients with clinically suspect arthralgia (CSA). We aimed to study the previously unexplored attitudes of CSA patients and rheumatologists on 1-year DMARD treatment in the arthralgia phase to reduce the disease burden, while not preventing RA. METHODS: CSA patients who participated in the TREAT EARLIER trial, thus being expert by experience, were informed on the trial results. Thereafter they completed an anonymous questionnaire about their attitudes on treatment in the CSA phase. We used the same approach for Dutch healthcare professionals in rheumatology. RESULTS: The majority of trial participants (85%) considered the effects of the 1-year treatment as found in the TREAT EARLIER trial, beneficial in the symptomatic at-risk stage. 79% would recommend a 1-year methotrexate course to others with comparable joint complaints. Two-thirds indicated RA prevention and improving disease burden to be equally important treatment goals in the CSA phase. Most healthcare professionals (88%) were inclined to prescribe 1-year treatment to CSA patients aimed at long-term improvement of symptoms and functioning, while not preventing RA development. 59% believed the profits of a 1-year methotrexate course to outweigh disadvantages, for example, side effects. CONCLUSIONS: A considerable willingness exists among CSA patients and rheumatologists to start a 1-year treatment resulting in long-term improvement of symptoms and functioning, while not preventing RA. This emphasises the need for more research optimising treatment regimens and disease monitoring in individuals at-risk to facilitate such treatment decisions in the future, while avoiding an intervention, either limited or for a prolonged period, which may have harms that outweigh benefits. TRIAL REGISTRATION NUMBER: The Netherlands Trials Registry (NTR4853-trial-NL4599). EudraCT number: NL2014-004472-35.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".