Evidence map›Paper›PMID 26566609›Full record

ReviewPsychopharmacology2016

The early identification of psychosis: can lessons be learnt from cardiac stress testing?

Swapnil Gupta, Mohini Ranganathan, Deepak Cyril D'Souza

Abstract readReview
In one paragraph

Review in Psychopharmacology, 2016. 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

3 authors.

Swapnil GuptaPsychiatry Service 116A, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.
Mohini RanganathanPsychiatry Service 116A, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.
Deepak Cyril D'SouzaPsychiatry Service 116A, VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA. deepak.dsouza@yale.edu.

Funding

NEUROBIOLOGY OF CANNABIS EFFECTSR01DA012382 · NIDA · YALE UNIVERSITY · PI D'SOUZA, DEEPAK CYRIL · 2001 to 2009
$1.3M
Cannabidiol Modulation of ???-9-THC???s Psychotomimetic Effects in Healthy HumansR21DA030696 · NIDA · YALE UNIVERSITY · PI D'SOUZA, DEEPAK CYRIL, RANGANATHAN, MOHINI · 2011 to 2012
$360k
Cannabinoids, Neural Synchrony and Information ProcessingR21DA020750 · NIDA · YALE UNIVERSITY · PI D'SOUZA, DEEPAK CYRIL · 2007 to 2008
$354k
NIDA NIH HHS R01 DA012382NIDA NIH HHS R21 DA020750NIDA NIH HHS R21 DA030696
6 · The paper itself

Abstract

Psychotic disorders including schizophrenia are amongst the most debilitating psychiatric disorders. There is an urgent need to develop methods to identify individuals at risk with greater precision and as early as possible. At present, a prerequisite for a diagnosis of schizophrenia is the occurrence of a psychotic episode. Therefore, attempting to detect schizophrenia on the basis of psychosis is analogous to diagnosing coronary artery disease (CAD) after the occurrence of a myocardial infarction (MI). The introduction of cardiac stress testing (CST) has revolutionized the detection of CAD and the prevention and management of angina and MI. In this paper, we attempt to apply lessons learnt from CST to the early detection of psychosis by proposing the development of an analogous psychosis stress test. We discuss in detail the various parameters of a proposed psychosis stress test including the choice of a suitable psychological or psychopharmacological "stressor," target population, outcome measures, safety of the approach, and the necessary evolution of test to become clinically informative. The history of evolution of CST may guide the development of a similar approach for the detection and management of psychotic disorders. The initial development of a test to unmask latent risk for schizophrenia will require the selection of a suitable and safe stimulus and the development of outcome measures as a prelude to testing in populations with a range of risk to determine predictive value. The use of CST in CAD offers the intriguing possibility that a similar approach may be applied to the detection and management of schizophrenia.

Indexed as

Schizophrenic PsychologyEarly DiagnosisExercise TestHumansLearningPsychotic DisordersRisk FactorsSchizophreniaCoronary artery diseaseDiagnosisPsychosisRiskSchizophrenia

Identifiers

PMID26566609
PMCPMC4703558

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.