A proposed framework to standardize the neurocognitive assessment of patients with pediatric systemic lupus erythematosus
Bibliographic record
Abstract
OBJECTIVE: To develop and propose a standardized battery of neuropsychological tests for the assessment of cognitive functioning of children and adolescents with pediatric systemic lupus erythematosus (SLE). METHODS: A committee of health care professionals involved in the assessment of pediatric SLE patients reviewed the literature to identify cognitive domains most commonly affected in pediatric SLE and in adult SLE. They then reviewed the standardized tests available for children and adolescents that assess the cognitive domains identified. Through a structured consensus formation process, the committee considered the psychometric characteristics and durations of the tests. RESULTS: A test battery was developed that appears suitable to provide a comprehensive assessment of cognitive domains commonly affected by pediatric SLE within a 2.5-hour period. CONCLUSION: It is hoped that the consistent use of this reliable and efficient battery increases the practicality of routine evaluations in pediatric SLE, enabling between-cohort comparisons and facilitating the longitudinal assessment of individual patients over time.
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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 | 0.072 | 0.082 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.010 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| 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".