Antiendothelial cell antibodies in inflammatory myopathies: distribution among clinical and serologic groups and association with interstitial lung disease.
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence and associations of antiendothelial cell antibodies (AECA) in a well characterized cohort of patients with idiopathic inflammatory myopathies (IIM). METHODS: Clinical characteristics, AECA, and myositis-specific autoantibodies were assessed by standard methods in 56 subjects with IIM. RESULTS: AECA were found in 20/56 patients with IIM, were seen in all the major clinical and serologic IIM groups, and were found in 10/15 patients with interstitial lung disease (ILD) (chi squared 6.5, p<0.01 with Yates' correction, relative risk 2.7, specificity 86% and sensitivity 50%). Antisynthetase antibodies, also associated with ILD as described (chi squared = 26.5, p<0.001 with Yates' correction, relative risk 8.7, specificity 95%, sensitivity 77%), did not correlate with the presence of AECA. CONCLUSION: AECA appear to be present in all forms of IIM and are markers for ILD that are independent of anti-synthetase autoantibodies. AECA may be a useful serologic marker for ILD in IIM.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".