Rheumatoid Arthritis in a North American Native Population: Longitudinal Followup and Comparison with a White Population
Bibliographic record
Abstract
OBJECTIVE: To describe differences in phenotype and outcomes in North American Native (NAN) patients with rheumatoid arthritis (RA) followed prospectively and compared to white patients with RA. METHODS: Patients from a single academic center were followed over 20 years using a custom database. Data included diagnoses, year of disease onset, ethnicity, modified Health Assessment Questionnaire (mHAQ) score, patient and physician global scores, tender and swollen joint counts, treatment, serology, and erythrocyte sedimentation rate (ESR). Records of all white (n = 1315) and NAN (n = 481) patients with RA were abstracted. Cumulative treatment data and clinical measures were compared. RESULTS: Disease duration was longer in white patients compared to NAN patients (16 +/- 11 vs 14 +/- 10 years, respectively; p = 0.03). Onset age was 34 years for NAN patients and 43 years for white patients (p < 0.001). NAN patients were more frequently positive for rheumatoid factor (89% vs 74%; p < 0.001) and antinuclear antibody (57% vs 21%; p < 0.001). Although mean tender joint counts and swollen joint counts were similar, NAN patients had higher Lansbury scores (weighted joint count; 66.5 vs 49.7; p < 0.001), mHAQ scores (1.1 vs 0.9; p = 0.001), and ESR (31 vs 25 mm/h; p < 0.012). NAN patients had more frequent knee (53% vs 34%; p < 0.001) and elbow (62% vs 48%; p = 0.007) involvement. Compared to white patients, NAN patients took a higher lifetime number of disease-modifying antirheumatic drugs (3.2 +/- 1.9 vs 2.2 +/- 1.7; p < 0.001), had more combination therapy (38% vs 29%; p = 0.002), and had more frequent prednisone use (55% vs 39%; p < 0.001). CONCLUSION: Compared to white patients, NAN patients with RA develop disease earlier, are more frequently seropositive, have greater large joint involvement, and greater disease burden, although treatment is more aggressive. These differences are present early and persist throughout the disease course.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".