Cognitive outcomes of childhood primary CNS vasculitis.
Bibliographic record
Abstract
OBJECTIVE: To characterize the clinical cognitive phenotypes and severity of cognitive burden according to disease subtype in children with primary central nervous system vasculitis (cPACNS). METHOD: This retrospective multicenter inflammatory brain disease database study examined the neuropsychological outcomes of 80 children (44 male; mean age = 7.89 years, SD = 4.17) consecutively diagnosed with primary CNS vasculitis between 1992 and 2016. Twenty-one children had small-vessel disease (AN_cPACNS), and 59 had large-vessel disease (including 49 nonprogressive [APNP_cPACNS] and 10 progressive [APP_cPACNS]). Neuroimaging revealed MRI abnormalities in 100% and 90% of children with large- and small-vessel vasculitis, respectively. The primary outcomes were Full Scale IQ (FSIQ) and the index scores from the Wechsler Intelligence Scale for Children-III (WISC-III, WISC-IV, and WISC-V). Analyses explored the effect of disease subtype. RESULTS: Intellectual functioning was assessed on average 2.82 years after symptom onset. Children with small-vessel CNS vasculitis had significantly lower FSIQ scores than did those with large-vessel CNS vasculitis (Ms = 81.90 vs. 94.82; p = .04). Intellectual disability (FSIQ < 70) was more frequent in children with small-vessel disease (24% vs. 5%). All groups displayed lower Working Memory and Processing Speed index scores relative to Verbal Comprehension and Perceptual Reasoning index scores. Group differences in FSIQ remained significant after controlling for the presence of seizures. CONCLUSION: Children with small-vessel CNS vasculitis are more likely to demonstrate deficits in intellectual functioning than are those with large-vessel disease, and children with both types of CNS vasculitis demonstrate relatively poor working memory and processing speed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".