Underuse of Methotrexate in the Treatment of Rheumatoid Arthritis: A National Analysis of Prescribing Practices in the US
Bibliographic record
Abstract
OBJECTIVE: Methotrexate (MTX) is the anchor drug in the treatment of rheumatoid arthritis (RA) due to its effectiveness, tolerability, and cost. This study examines MTX prescribing practices in the US from 2009 to 2014. METHODS: Symphony Health Solutions, which covers 274 million patients in the US, was used to identify patients diagnosed with RA who were naive to MTX in 2009 and 2012. Data were collected, including medication use and doses, demographics, and medical comorbidities. RESULTS: Of the patients who had 5-year followup data available, oral MTX was started in 35,640 in 2009, and 44% continued taking this dose during the followup. Of the 20,041 patients who changed therapy during the study period, 87% had the addition of or switched to a biologic agent, while 13% were changed from oral to subcutaneous (SC) MTX. The mean oral dose prior to the start of a biologic agent was 15.3 ± 5 mg/week. A comparison of 2009 with 2012 showed a modest increase in the mean dose of oral MTX from 15.3 mg/week to 15.9 mg/week, as well as a small but statistically significant (P < 0.0001) increase in the use of SC MTX after failure of oral MTX from 13% to 16% of patients. CONCLUSION: MTX is underutilized in the treatment of RA with suboptimal dosing, inadequate duration of therapy, and failure to use SC administration. The comparison of MTX use between the 2009 and the 2012 cohorts demonstrates only a marginal increase in the dose of oral MTX and the use of SC MTX.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".