Management of Aggressive Behaviors in Neurodevelopmental Disorders - Role of α 2 Agonists
Bibliographic record
Abstract
Neurodevelopmental Disorders (NDD) are associated with high rates of comorbid behavioral problems leading to increased need for crisis interventions, ER visits and health care spending.These patients often end up with polypharmacy of multiple psychotropic medications and complexities secondary to the associated side effects, which may often be irreversible.Not having a proper guideline also makes it difficult for physicians to select appropriate medications.Due to underlying sympathetic over activity, many of this group of patients can get easily dysregulated, making it difficult for their caregivers to care for them.A common practice of pharmacological management of behavioral problems in NDD is to use antipsychotics and other psychotropic medications, often without any primary psychiatric disorder.Much less attention has been given to medications like α 2 agonists.Researches in the past couple of decades have found these medications much effective in behavioral management, with added benefit of lower long term side effects.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".