The development of a simple questionnaire to screen patients with SLE for the presence of neuropsychiatric symptoms in routine clinical practice
Bibliographic record
Abstract
AIM: The creation of a physician-administered questionnaire to screen patients with Systemic Lupus Erythematosus (SLE) for the presence of symptoms suggestive of neuropsychiatric involvement (NPSLE). METHODS: The development of the questionnaire followed three phases. First, a list of manifestations was prepared based on the ACR case definitions for NPSLE. A first questionnaire was constructed including 119 items. To reduce their number, a Delphi analysis was carried out and a second questionnaire with 62 questions was developed. This questionnaire was administered to 139 patients with SLE (58 with NPSLE: 29 active, 29 inactive; and 81 without NPSLE: 39 active, 42 inactive). Questions relevant to the screening of patients were selected on the basis of the receiver operating characteristic (ROC) curve analysis. RESULTS: Twenty-seven questions concerning central nervous system and psychiatric manifestations were found to be relevant; the remaining could be eliminated without significantly affecting AUC. The area under the ROC curve (AUC) was 0.69 (95% CI 0.61-0.78). A score above 17 was considered as suggestive of the presence of NPSLE with a sensitivity of 92.9% (95% CI 85.1-97.3 %) and specificity of 25.4% (95% CI 14.7-39.00 %). CONCLUSIONS: This questionnaire could represent a 'core set' of questions that could help in clinical practice to identify patients with neuropsychiatric symptoms requiring further evaluation.
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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 | 0.002 | 0.004 |
| 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".