Serologically Active Clinically Quiescent Systemic Lupus Erythematosus: Clinical and Immunological Correlates
Bibliographic record
Abstract
Aim: Some remitted systemic lupus erythematosus (SLE) patients are serologically active (by elevated anti-double-stranded DNA antibodies and/or hypocomplementemia) despite longstanding clinical quiescence ("SACQ"), thus presenting a management dilemma. We described the SACQ period and its patients, and sought biomarkers heralding disease flare in them. Methods: Patients with a prolonged SACQ period were followed prospectively, with clinical and laboratory data collected at each visit. Serologically and clinically active (SACA) and serologically and clinically quiescent (SQCQ) patients served as positive and negative controls, respectively. Descriptive statistics and logistic regression analyses were utilized.Results: SACQ patients were phenotypically unique prior to remission onset, and did not accrue subclinical organ damage over the quiescent period. Fluctuation in immunoglobulin isotype did not predict flare. The SACQ interferon and cytokine/chemokine profiles mirror SQCQ patients.Conclusions: SACQ patients' active serology should not guide treatment decisions, and these patients are best managed conservatively. Alternate biomarkers must be sought.
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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 | 0.001 |
| 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) | 0.002 | 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".