Evidence map›Paper›PMID 32572083›Full record

ArticleScientific reports2020

Risk-taking and fairness among cocaine-dependent patients in dual diagnoses: Schizophrenia and Anti-Social Personality Disorder.

Gerardo Sabater-Grande, Gonzalo Haro, Aurora García-Gallego, Nikolaos Georgantzís, Noemí Herranz-Zarzoso, Abel Baquero

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 9 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

6 authors at 2 institutions in 2 countries.

Gerardo Sabater-GrandeLEE & Department of Economics, Universitat Jaume I, Castellón, Spain. sabater@uji.es.
Gonzalo HaroTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Aurora García-GallegoLEE & Department of Economics, Universitat Jaume I, Castellón, Spain.
Nikolaos GeorgantzísLEE & Department of Economics, Universitat Jaume I, Castellón, Spain.
Noemí Herranz-ZarzosoLEE & Department of Economics, Universitat Jaume I, Castellón, Spain.
Abel BaqueroTXP Research Group, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Universitat Jaume I · ESUniversidad Cardenal Herrera CEU · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports experimental results from a clinical sample of patients with a cocaine-related disorder and dual diagnosis: Schizophrenia and Anti-Social Personality Disorder. Both types of patients as well as a non-clinical group of students performed two incentivized decision-making tasks. In the first part of the experiment, they performed a lottery-choice task in order to elicit their degree of risk aversion. In the second part, they decided in two modified dictator games aimed at eliciting their aversion to advantageous and disadvantageous inequality. It is found that the Anti-Social Personality Disorder group exhibits no significant differences from the non-clinical sample in either task. However, compared with the students' sample, subjects from the group with schizophrenia show more risk aversion and exhibit more aversion towards disadvantageous inequality.

Indexed as

AffectAntisocial Personality DisorderCocaineCocaine-Related DisordersComorbidityDecision MakingDiagnosis, Dual (Psychiatry)FemaleGames, ExperimentalHumansMalePersonality DisordersRisk-TakingSchizophreniaSchizophrenic PsychologySocial BehaviorCocaine

Identifiers

PMID32572083
PMCPMC7308379
OpenAlexW3036577364

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.