The therapygenetics of anxiety disorders
Bibliographic record
Abstract
Treatment of anxiety disorders primarily includes pharmacological treatment and psychotherapy, yet a substantial portion of patients do not experience sufficient clinical response. Given the significant impact of anxiety disorders on well-being and quality of life, it is pertinent to strive to ensure available treatments are of paramount efficacy. This review aimed to identify genetic variants and genes that may moderate the outcome of psychotherapy in patients with anxiety disorders, termed 'therapygenetics.' A comprehensive search of the current literature following relevant guidelines was conducted. Eighteen records were included in the review. Seven studies reported significant associations between genetic variants and response to psychotherapy. The most investigated polymorphisms were the serotonin transporter-linked polymorphic region (5-HTTLPR), nerve growth factor rs6330, catechol-O-methyltransferase Val158Met, and brain-derived neurotrophic factor Val166Met. However, current findings are inconsistent and thus do not support the use of genetic variants for the prediction of psychotherapy response in anxiety disorders.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 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) | 0.004 | 0.001 |
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".