How to Investigate and Follow Up Undifferentiated Peripheral Inflammatory Arthritis? 3e Initiative 2008-2009: Systematic Reviews and Clinical Algorithm
Bibliographic record
Abstract
The 3e (Evidence, Expertise, Exchange) Initiative in Rheumatology is a multinational effort aimed at generating evidence-based recommendations for common clinical problems. It integrates systematically generated evidence with expert opinion of a broad panel of international rheumatologists. Phases I and II of the 3e Initiative addressed, respectively, the management of ankylosing spondylitis and the use of methotrexate in rheumatoid arthritis. The objective of phase III 2008–2009 was to develop practical recommendations for management of patients with undifferentiated peripheral inflammatory arthritis (UPIA). Patients with UPIA are commonly seen in rheumatology practice and often remain without a specific diagnosis. Their management varies considerably among rheumatologists; there are no widely accepted criteria for diagnosis and no guidance on how to investigate and follow up these patients. In this international project, experts agreed to label as “undifferentiated” those patients with at least one …
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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 | 0.082 | 0.163 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.022 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".