Social Communication is an Emerging Target for Pharmacotherapy in Autism Spectrum Disorder - A Review of the Literature on Potential Agents.
Bibliographic record
Abstract
OBJECTIVE: To review the published literature and registered clinical trials on pharmacologic interventions targeting social communication impairment in Autism Spectrum Disorder (ASD). METHODS: A comprehensive search of several databases (PubMed, MEDLINE, PsycINFO, Clinical trials.gov) was conducted to identify pharmacologic agents that have been, or will be, tested as treatments for social communication impairment in individuals with ASD. Evidence from basic science research supporting rational drug discovery is surveyed. RESULTS: Data from animal models and early clinical trials suggest that novel and existing compounds, including N-methyl-D-aspartate (NMDA) modulators, γ-aminobutyric acid (GABA) agonists, metabotropic glutamate receptor (mGluR) antagonists and neuropeptides, may enhance social communication/function in ASD. Results from numerous Phase 2 and Phase 3 clinical trials are expected in the near future. CONCLUSIONS: Recent evidence suggests that social communication may be an appropriate target for pharmacologic manipulation. It is hoped that, in combination with behavioural interventions, novel therapeutics may soon be clinically available to help improve social outcomes.
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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 | 0.000 |
| 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".