Evidence map›Paper›PMID 31902558›Full record

ArticleSchizophrenia research2020

Delay discounting abnormalities are seen in first-episode schizophrenia but not in bipolar disorder.

Huan Wang, Tyler A Lesh, Richard J Maddock, Catherine Fassbender, Cameron S Carter

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Huan WangDepartment of Psychiatry, University of California, Davis, Davis, CA, USA. Electronic address: huan.hw.wang@gmail.com.
Tyler A LeshDepartment of Psychiatry, University of California, Davis, Davis, CA, USA.
Richard J MaddockDepartment of Psychiatry, University of California, Davis, Davis, CA, USA.
Catherine FassbenderDepartment of Psychiatry, University of California, Davis, Davis, CA, USA.
Cameron S CarterDepartment of Psychiatry, University of California, Davis, Davis, CA, USA. Electronic address: cscarter@ucdavis.edu.
University of California, Davis · US

Funding

PATHOPHYSIOLOGY OF COGNITIVE DISABILITY IN SCHIZOPHRENIAR01MH059883 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CARTER, CAMERON S. · 2000 to 2017
$6.1M
NIMH NIH HHS R01 MH059883
6 · The paper itself

Abstract

Delay discounting (DD) is the phenomenon of individuals discounting future rewards as a function of time. It has been studied extensively in chronic schizophrenia (SZ) and the results of these studies have been variable. Comorbidity in chronic samples could be one reason for the mixed findings and studies in first-episode (FE) samples are surprisingly lacking. Bipolar disorder (BP) which shares some genetic and symptom features with SZ could serve as an interesting comparison group for DD but has been underexplored. Here we present the first study that combines FE SZ, FE BP with psychotic features, as well as healthy controls and study DD with two versions of the task. We found that SZ showed steeper discounting than HC and BP on the well-validated Kirby DD task. SZ showed no difference than HC on a separate DD task with smaller rewards presented with decimal places and shorter delays. As a preliminary finding, DD was found to be positively related to positive symptoms in FE SZ, while no relationship was found between negative symptoms and DD. In addition, we found comparable DD in BP compared to HC. Ultimately, our data may help elucidate the psychopathology in SZ and BP during intertemporal decision making.

Indexed as

Bipolar DisorderDelay DiscountingSchizophreniaHumansRewardDelay discountingFirst-episode bipolar disorderFirst-episode schizophrenia

Identifiers

PMID31902558
PMCPMC7239725
OpenAlexW2998082696

What OpenQuestion holds

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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.