Evidence map›Paper›PMID 41361529›Full record

ReviewNPP - digital psychiatry and neuroscience2024

Will the promise of translational neuropsychopharmacology research ever deliver? The lion's roar; the kitten's purr.

Jacqueline F McGinty, Victoria Arango, Kathleen T Brady, Sandra D Comer, Rita Z Goldstein, Eric J Nestler, William W Stoops, Michael A Nader

Abstract readReview
In one paragraph

Review in NPP - digital psychiatry and neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jacqueline F McGintyDepartment of Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA. mcginty@musc.edu.
Victoria ArangoAdult Pathophysiology and Biological Interventions Development Branch, Division of Translational Research, NIMH/NIH Bethesda, Bethesda, MD, 20892, USA.
Kathleen T BradyDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA.
Sandra D ComerNew York State Psychiatric Institute and Columbia University Irving Medical Center, New York, NY, 10032, USA.
Rita Z GoldsteinDepartments of Psychiatry & Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID http://orcid.org/0000-0002-1680-229X
Eric J NestlerNash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
William W StoopsDepartments of Behavioral Science, Psychiatry and Psychology, Center on Drug and Alcohol Research, University of Kentucky, Lexington, KY, 40506, USA.ORCID http://orcid.org/0000-0002-8502-0160
Michael A NaderDepartment of Translational Neuroscience, Wake Forest University School of Medicine, Winston-, Salem, NC, 27157, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gap between neuropsychopharmacology research claims (the lion's roar) and effective treatments for neuropsychiatric disorders (the kitten's purr) persists. However, a pattern of purrs over time may be as important as a loud roar. This perspective pulls together diverse preclinical and clinical voices of major figures in the neuropsychopharmacology research field to address how inter-disciplinary scientific approaches progress from thinking about the brain and its disorders to testing novel hypotheses to implementing treatments that may improve brain health in individuals with neuropsychiatric disorders.

Identifiers

PMID41361529
PMCPMC12624885

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.