Anxiety Disorders and Perceptual Disturbances in Adolescents with 22q11.2 Deletion Syndrome Treated with SSRI: A Case Series.
Bibliographic record
Abstract
INTRODUCTION: Psychotic symptoms are highly prevalent in adolescents with 22q11.2 Deletion Syndrome (22qDS), with as many as half reporting transient psychotic symptoms. Anxiety is also commonly seen in this population, and patients frequently report both psychotic symptoms and anxiety. OBJECTIVE: To describe the psychiatric presentation, course and management of primary anxiety disorders in patients with 22qDS who also presented with isolated perceptual disturbances. METHOD: This report describes a 24-month clinical follow-up of three patients with 22qDS who were seen in the Medical Psychiatry clinic at the Hospital for Sick Children (Toronto, Canada). RESULTS: Patients presented with primary anxiety disorders and perceptual disturbances. Patients were placed on selective serotonin reuptake inhibitor only, with improvement of both anxiety and perceptual disturbances being noted. CONCLUSIONS: Some patients with 22qDS who present with psychotic symptoms do not develop a psychotic disorder; therefore, the use of antipsychotics for every child or adolescent with 22qDS who experience psychotic symptoms is debatable. Long-term follow-up, phenomenological and treatment efficacy studies in larger samples are needed to determine optimal treatment of psychotic symptoms in children and adolescents with 22qDS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".