Relationship of lnterleukin-4 to Isotypic Distribution of Anti-Double-Stranded DNA Antibodies in Systemic Lupus erythematosus
Bibliographic record
Abstract
IgG subclasses of anti-double-stranded DNA antibodies were determined in 182 patients with systemic lupus erythematosus. All isotypes were detected, but IgG1 and IgG3 were predominant (62 and 51% of the cases, respectively). An average of 64 +/- 27% was IgG1, 16 +/- 22% IgG2, 16 +/- 19% IgG3 and 4 +/- 10% IgG4. The rank order or frequency was IgG1, IgG3, IgG2 and IgG4 in patients with musculoskeletal involvement; IgG1, IgG2, IgG3 and IgG4 in those with renal complications; IgG3, IgG1, IgG2 and IgG4 in those with cutaneous involvement; and IgG1, IgG3, IgG2 and IgG4 in those with hematological manifestations. Interleukin-4 (IL-4) was detectable in 17 of 36 selected patients, as opposed to 1 of 40 normal controls. The percentage of the total autoantibody contributed by IgG1 was significantly higher (p < 0.03) in these patients than in the remainder with undetectable levels of IL-4.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".