Reappraisal of the effectiveness of methotrexate in psoriatic arthritis: results from a longitudinal observational cohort.
Bibliographic record
Abstract
OBJECTIVE: In a previous study in our clinic, methotrexate (MTX) conferred no advantage with respect to clinical response or progression of damage after 24 months in patients with psoriatic arthritis (PsA). Our aim was to determine if MTX is being used earlier in the course of PsA and in a higher dose and whether that has led to improved outcomes. METHODS: All patients treated with MTX for at least 24 months in our clinic, between 1994 and 2004, were included in the study. The outcome measures were the progression of radiographic peripheral joint damage score and a > or = 40% reduction in the number of actively inflamed joints. The data from our study were compared to those obtained from our previous study. RESULTS: Fifty-nine patients (36 men) treated with MTX for 24 months were identified. The mean age was 46 years, PsA duration 8 years, and active joint count 12.1 (4.6 swollen). The mean increase in radiographic damage score was 1.5. Sixty-eight percent of patients demonstrated improvement at 24 months. When compared to our previous study, there was a trend for MTX to be used earlier, at a higher dose, with greater clinical improvement and less progression of damage. CONCLUSION: Our study suggests that treatment with MTX has changed in the past decade to include patients with shorter disease duration and less damage, at increased dose, and that there may be better response with less progression of damage.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".