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 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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".