Evidence map›Paper›PMID 29379449›Full record

ArticleFrontiers in psychiatry2017

Increased Loss Aversion in Unmedicated Patients with Obsessive-Compulsive Disorder.

Kamila E Sip, Richard Gonzalez, Stephan F Taylor, Emily R Stern

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  16. Animal models of OCD-relevant processes: an RDoC perspective.Journal of obsessive-compulsive and related disorders · 2019
    Article
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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

4 authors.

Kamila E SipDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Richard GonzalezDepartment of Psychology, University of Michigan, Ann Arbor, MI, United States.
Stephan F TaylorDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Emily R SternDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

Neurobiology of sensory phenomena in obsessive-compulsive disorderR01MH111794 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI STERN, EMILY R · 2017 to 2021
$3.0M
Functional Neuroanatomy of Obsessive Compulsive DisorderR01MH071821 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAYLOR, STEPHAN F · 2005 to 2009
$1.6M
NIMH NIH HHS R01 MH071821NIMH NIH HHS R01 MH111794
6 · The paper itself

Abstract

introductionObsessive-compulsive disorder (OCD) patients show abnormalities in decision-making and, clinically, appear to show heightened sensitivity to potential negative outcomes. Despite the importance of these cognitive processes in OCD, few studies have examined the disorder within an economic decision-making framework. Here, we investigated loss aversion, a key construct in the prospect theory that describes the tendency for individuals to be more sensitive to potential losses than gains when making decisions.

methodsAcross two study sites, groups of unmedicated OCD patients (

resultsUnmedicated OCD patients exhibited significantly more loss aversion compared to medicated OCD or controls, an effect that was replicated across both sites and remained significant even after controlling for OCD symptom severity, trait anxiety, and sex. DISCUSSION: These data identify abnormalities of decision-making in a subgroup of OCD patients not taking psychotropic medication. The findings help elucidate the cognitive mechanisms of the disorder and suggest that future treatments could aim to target abnormalities of loss/gain processing during decision-making in this population.

Indexed as

choice behaviordecision-makingobsessive–compulsive disorderprospect theoryreward

Identifiers

PMID29379449
PMCPMC5775273

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Registered trials

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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.