Asperger’s Syndrome in a Clinical Sample: Reasons for Referral and Comorbidity
Bibliographic record
Abstract
Asperger’s Syndrome (AS) is an autism spectrum disorder without mental retardation and language delay. AS often remains unrecognized until these children fail to adapt to school or kindergarten. The comorbid psychiatric disorders, achieving clinical significance, were considered as another pathway to diagnosis. This study is aimed to elucidate the reasons for referral, the frequency and the kinds of comorbidities in a clinical sample of consecutive cases of children and adolescents with AS. To this objective, clinical records of children and adolescents, who have received a DSM-IV diagnosis of AS after multidisciplinary assessment in a given time period were reviewed. After excluding 3 cases due to insufficient information, 24 cases of children and adolescents with Asperger’s Syndrome (23 boys and one girl) were identified. The mean age at the time of assessment and receiving diagnosis was 9.6 yrs. (age range 4 to 17 years). In twenty-one (87%) of the cases the reason for referral was an episode of disorganized behavior following an attempt to enroll the child at school or kindergarten, and more rare referral occurred within the significant school transition period. In the remaining 3 cases, the reason for referral was a comorbid condition. Comorbid conditions identified at the moment of assessment include: ADHD documented in 4 cases, tics in 3 cases, obsessive-compulsive behaviors in 4 cases, Stereotypic Movement Disorder or Trichotilomania in 4 of the cases. Within the clinical sample, a priori expected to include relatively severe cases, a higher frequency of comorbidity was found as compared to the rates in the general population. Adjustment reactions and comorbidities occasioned the referral, while AS was diagnosed only after specialized multidisciplinary assessment.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".