Non‐pharmacological treatment of psychiatric disorders in individuals with 22q11.2 deletion syndrome; a systematic review
Bibliographic record
Abstract
22q11.2 deletion syndrome (22q11.2DS) is associated with high rates of anxiety disorders, psychotic disorders, and other psychiatric conditions. In the general population, psychiatric disorders are treated with proven pharmacological and non-pharmacological therapies, such as cognitive behavioral therapy (CBT). To begin to assess the feasibility and efficacy of non-pharmacological therapies in 22q11.2DS, we performed a systematic search to identify literature on non-pharmacological interventions for psychiatric disorders in individuals with 22q11.2DS. Of 1,240 individual publications up to mid-2016 initially identified, 11 met inclusion criteria. There were five literature reviews, five publications reporting original research (two originating from a single study), and one publication not fitting either category that suggested adaptations to an intervention without providing scientific evidence. None of the original research involved direct study of the evidence-based non-pharmacological therapies available for psychiatric disorders. Rather, these four studies involved computer-based or group interventions aimed at improving neuropsychological deficits that may be associated with psychiatric disorders. Although the sample sizes were relatively small (maximum 28 participants in the intervention group), these reports documented the promising feasibility of these interventions, and improvements in domains of neuropsychological functioning, including working memory, attention, and social cognition. The results of this review underline the need for research into the feasibility and efficacy of non-pharmacological treatments of psychiatric disorders in individuals with 22q11.2DS to inform clinical care, using larger samples, and optimally, standard randomized, placebo-controlled, clinical trials methodology.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".