A review of antipsychotic therapy effectiveness and tolerability among individuals with copy number variants relevant to schizophrenia
Bibliographic record
Abstract
Although numerous copy number variants (CNVs) are considered pathogenic with respect to the development of schizophrenia, only eight loci have reached genome-wide significance. Reviews/studies characterizing antipsychotic use in this context exist for only three corresponding CNV syndromes. As these disorders also predispose to neurodevelopmental anomalies and various medical comorbidities, affected individuals may be particularly sensitive to the side effects of antipsychotic medications. As such, this review sought to identify and describe all reports of antipsychotic use among individuals with the other genome-wide significant schizophrenia risk CNVs (2p16.3 deletions/ NRXN1 variants, 15q13.3 and 16p11.2 deletions, 7q11.23 duplications, and 1q21.1 deletions or duplications). Only 10 eligible articles describing 29 individuals were included. While treatment response was reasonably good for most individuals, despite variability existing across the specific CNV syndromes, side effects were rarely reported. Above all, this review highlights the need for more case reports/series to be published.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".