ArticleInnovations in clinical neuroscience
Lessons Learned and Potentials for Improvement in CNS Drug Development: ISCTM Section on Designing the Right Series of Experiments.
Article in Innovations in clinical neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Sample enrichment for clinical trials to show delay of onset in huntington disease.Movement disorders : official journal of the Movement Disorder Society · 2019Trial
- Application of the research domain criteria in early-phase clinical development of transdiagnostic neurotherapeutics: A multidisciplinary perspective.Neuroscience applied · 2026Review
- Experimental Medicine Approaches in Early-Phase CNS Drug Development.Advances in neurobiology · 2023Article
- A Proof-of-Mechanism Study to Test Effects of the NMDA Receptor Antagonist Lanicemine on Behavioral Sensitization in Individuals With Symptoms of PTSD.Frontiers in psychiatry · 2019Article
- Schizophrenia Pharmacology: Past, Present, and Future Targets for Intervention.Focus (American Psychiatric Publishing) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Once a molecule has been characterized as engaging an identified target at the appropriate location (affinity and potency), the next step involves designing experiments that will determine its pharmacodynamic activities both for efficacy (on target) and safety-tolerability (on/off target). Two expert presentations focused on looking back at completed programs and two concentrated on looking forward at ongoing programs. Specific discussions pertain to assessment of pharmacologic agonists (mGluR2/3, k-opiate, peroxisome proliferator-activated receptor gamma) and antagonists (orexin and cannabinoid) in disorders of cognition, mood, and anxiety. Advanced experimental study designs using genetics to guide a treatment trial in Alzheimer's disease and neural target-based approaches as the primary outcome measure in the National Institute of Mental Health-sponsored Fast-Fail Trials (FAST)-Mood and Anxiety Spectrum Disorders (MAS) initiative for depression showcases novel methodological approaches. Of interest, some of these initiatives were successful, while others were not, and two are currently ongoing. In conclusion, methodologies that were utilized and are currently employed to reach a successful clinical drug trial outcome are appreciated, and in case of failure, approaches to reviewing programs to enable learning that would be helpful to future programs are brought forth. This article is based on proceedings from the "Designing the Right Series of Experiments" session, which was held during the International Society for Clinical Trials Meeting (ISCTM) in Philadelphia, Pennsylvania, September 30 to October 2, 2013.
Indexed as
Identifiers
25977837PMC4571294What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.