The Temporal Relationship of Raynaud’s Phenomenon and Features of Connective Tissue Disease in Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: In a prospective cohort study we examined the relationship between Raynaud's phenomenon (RP) onset and other connective tissue disease (CTD) characteristics in rheumatoid arthritis (RA) to determine if RP is predictive of RA severity and associated with other CTD signs, and if late onset RP in RA has an effect on prognosis compared to other patients with RA. METHODS: Using a standardized assessment, data were collected on 328 subjects with RA [mean age 60.3 +/- 0.7; 77% women; 76% erosions, 75% positive rheumatoid factor (RF)] seen at one London, Ontario, rheumatology clinic. The data included RA disease duration; presence and duration of RP; presence of nodules, joint damage, telangiectasia, and sclerodactyly; and RF status (+/-), RF value, antinuclear antibodies, and E-nuclear antibodies. RESULTS: The mean RA disease duration was 12 +/- 0.6 years. Seventy-one (22%) had RP and the mean RP duration was 9.2 +/- 1.5 years. Patients presented with RP a mean of 3.8 +/- 1.4 years after the diagnosis of RA. RP status was positively associated with the presence of sclerodactyly (p < 0.001), but not nodules or erosions. Higher RF values were associated with longer RA disease duration (p < 0.002) and longer RP duration (p < 0.01). CONCLUSION: Idiopathic RP may have a different clinical effect on RA than secondary RP; the latter is correlated with more severe RA. Sclerodactyly is associated with erosive arthritis and RP in RA. Higher RF values were indicative of increased RA and RP duration.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".