Writing and Amending the Clinical Protocol: IND and CTA Lifecycle Strategy for Novel Anxiolytic Agents in Generalized Anxiety Disorder
Generalized anxiety disorder (GAD) is a common, often chronic psychiatric condition for which existing first-line pharmacotherapies, principally selective serotonin and serotonin-norepinephrine reuptake inhibitors, leave a substantial proportion of patients with inadequate symptom control or dose-limiting side effects (Stein & Sareen, 2015). Novel anxiolytic agents acting through non-monoaminergic mechanisms, including modulation of extrasynaptic GABA-A receptor signaling and other central inhibitory pathways, represent an active area of psychiatric drug development. This article is written from the perspective of a clinical trial manager carrying a novel anxiolytic program from its initial Investigational New Drug (IND) application or Clinical Trial Application (CTA) through subsequent protocol amendments. It reviews the disease and mechanistic rationale, best practices for trial phase and population selection in a condition with a historically large placebo response, anticipated risks and pharmacovigilance strategy including central nervous system and suicidality monitoring, statistical sample-size rationale drawn from registered trials, the detailed regulatory requirements and timelines governing the initial submission and amendments across FDA, Health Canada, and EMA frameworks, a representative schedule of assessments spanning an eight-month period, and the application of artificial intelligence tools to data capture and quality. The article closes with recommendations for regulatory affairs and clinical operations professionals managing this therapeutic category.Keywords: generalized anxiety disorder; anxiolytic; GABA-A receptor; protocol amendment; Investigational New Drug application; Clinical Trial Application; placebo response; regulatory artificial intelligence
Authors
- Dorcas Koomson
- Peivand Pirouzi
- Gloria Anthonia Amoateng Agyemang
Institutions
- Seneca Polytechnic (CA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-02
- DOI
- https://doi.org/10.5281/zenodo.23891205
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00