Evidence map›Paper›PMID 33206139›Full record

ArticleJAMA psychiatry2021

Leveraging Basic Science for the Clinic-From Bench to Bedside.

Philip R Corlett, Geoffrey Schoenbaum

Open access · greenAbstract read
In one paragraph

Article in JAMA psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Philip R CorlettClinical Neuroscience Research Unit, Department of Psychiatry, Yale University, School of Medicine, New Haven, Connecticut.
Geoffrey SchoenbaumNational Institute on Drug Abuse Intramural Research Program, Baltimore, Maryland.
National Institute on Drug Abuse · USYale University · US

Funding

Associative learning, decision-making, and addictionZIADA000587 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI SCHOENBAUM, GEOFFREY · 2012 to 2025
$47.7M
Intramural NIH HHS ZIA DA000587
6 · The paper itself

Abstract

Importance: The tools and insights of behavioral neuroscience grow apace, yet their clinical application is lagging. Observations: This article suggests that associative learning theory may be the algorithmic bridge to connect a burgeoning understanding of the brain with the challenges to the mind with which all clinicians and researchers are concerned. Conclusions and Relevance: Instead of giving up, talking past one another, or resting on the laurels of face validity, a consilient and collaborative approach is suggested: visiting laboratory meetings and clinical rounds and attempting to converse in the language of behavior and cognition to better understand and ultimately treat patients.

Indexed as

AnimalsAssociation LearningBehavioral ResearchBiomedical ResearchBrainHumansInterdisciplinary ResearchMental DisordersNeurosciencesSchizophreniaSubstance-Related Disorders

Identifiers

PMID33206139
PMCPMC9334882
OpenAlexW3103590932

What OpenQuestion holds

Textmetadata
LicenceTDM
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.