Neuropsychiatric Systemic Lupus Erythematosus: A Diagnostic Conundrum
Bibliographic record
Abstract
A 70-year-old man presented with complaints of rapid cognitive decline and new onset leukopenia. The patient had a 17-year history of refractory seizures. Detailed review of symptoms and investigations revealed the patient met American College of Rheumatology (ACR) diagnostic criteria for systemic lupus erythematosus (SLE). The patient had high titer ANA with a strongly positive dsDNA. Immunosuppressive therapy with hydroxychloroquine and mycophenolate mofetil led to significant improvement in cognition and seizures. Neuropsychiatric SLE should be considered a potential differential diagnosis for patients presenting with seizures or cognitive decline. Moreover, neuropsychiatric manifestations especially seizures are an early event in the disease course of SLE. Hence, we believe that early diagnosis of SLE by neuropsychiatric manifestations will not only lead to better control of CNS symptoms but early immunosuppressive therapy could control the progression of the underlying autoimmune disease.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".