PANDAS anorexia nervosa—Endangered, extinct or nonexistent?
Bibliographic record
Abstract
OBJECTIVE: Substantial evidence exists for the concept of pediatric autoimmune neuropsychiatric disorders associated with streptoccoccal infection (PANDAS) such as some cases of obsessive-compulsive disorder and tics/Tourette's syndrome. More recently PANDAS-AN has been described. The aim of this article is to provide a critical review of this concept. METHOD: The literature was searched using Medline, Psychinfo, and Google. RESULTS: There is some evidence for the entity of PANDAS-AN but this is considerably limited by a wide range of methodological problems, including the seemingly low prevalence, the lack of clarity in diagnostic criteria, and the lack of specificity in the diagnostic tests. Innovative treatment approaches hold promise but require further evaluation. CONCLUSION: Further research into PANDAS-AN, using more clearly defined and consistent diagnostic criteria is needed, given the potential for enhancing the understanding of the pathogenesis of AN and for more effective treatments.
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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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".