The Gap Between Practice and Guidelines in the Choice of First-line Disease Modifying Antirheumatic Drug in Early Rheumatoid Arthritis: Results from the ESPOIR Cohort
Bibliographic record
Abstract
OBJECTIVE: To compare rheumatologists' prescription for first disease modifying antirheumatic drug (DMARD) in early rheumatoid arthritis (RA) in real-life settings with 2 clinical practice guidelines (CPG), the French Society of Rheumatology/STPR 2004 and EULAR/ESCISIT 2007, and thus assess the gap between practices and guidelines. Method. ESPOIR was a French multicenter cohort study of 813 patients with early arthritis between 2002 and 2005. "Definite" and "probable" RA were defined according to ACR criteria and the level of diagnostic certainty. The objectives were to assess conformity between the observed first-line DMARD prescribed for those patients and the DMARD recommended in the guidelines; and to conduct a mail survey of patients' usual rheumatologists to investigate the reasons for their nonconformity with guidelines. RESULTS: In total 627 patients with definite or probable RA were identified. Conformity rates were 58% for STPR guidelines and 54% for EULAR guidelines. At 6 months, 83 (34%) patients with early RA did not receive any DMARD. Main determinants associated with conformity to guidelines were disease activity and presence of severity-predictive factors. The main reason leading to a discrepancy between guidelines and daily practice appeared to be diagnostic uncertainty, i.e., the difficulty to reliably assess RA diagnosis as early as the first visits to the rheumatologist. CONCLUSION: There is a substantial gap between CPG and rheumatologists' daily practice concerning the first DMARD to prescribe in early RA. This is explained mainly by diagnostic uncertainty. More attention should be paid in future guidelines to the diagnostic difficulties of early RA.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".