Cognitive dysfunction in SLE: development of a screening tool
Bibliographic record
Abstract
BACKGROUND: Cognitive dysfunction (CD) is among the most common neuropsychiatric manifestations of systemic lupus erythematosus (SLE). There are two methods which have been used to detect CD in patients with SLE: traditional neuropsychological tests (NPT) and the Automated Neuropsychological Assessment Metrics (ANAM). Both are time-consuming and neither is readily available for screening purposes. PURPOSE: The aim of our study was to evaluate the Montreal Cognitive Assessment (MoCA) test as a screening tool for detection of CD in SLE. Methods. SLE patients fulfilling ACR criteria were administered the ANAM, a computerized test battery which measures various cognitive domains and the MoCA, a one-page, performance-based screening test designed to detect mild cognitive impairment in the elderly. With the ANAM as the gold standard, the performance characteristics of the MoCA were assessed. RESULTS: In total, 44 patients were evaluated. Of these, 11 (25%) were identified by the ANAM as being impaired in comparison with 13 (29.5%) by the MoCA. The scores were significantly correlated (r = 0.57, p < 0.001). Using the standard cutoff of 26, the sensitivity of MoCA was 83% and specificity 73%. CONCLUSION: The MoCA appears to be a promising screening tool for the detection of CD in SLE both for epidemiologic studies and for routine clinical care.
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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 | 0.000 | 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".