Evidence map›Paper›PMID 30577993›Full record

SynthesisSchizophrenia research2019

Clarifying the overlap between motivation and negative symptom measures in schizophrenia research: A meta-analysis.

Lauren Luther, Melanie W Fischer, Ruth L Firmin, Michelle P Salyers

Abstract readMeta-Analysis
In one paragraph

Synthesis in Schizophrenia research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  10. Effort-related decision making in humanized COMT mice: Effects of ValPharmacology, biochemistry, and behavior · 2020
    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

4 authors.

Lauren LutherIndiana University-Purdue University Indianapolis, Department of Psychology, 402 N. Blackford St., LD 124, Indianapolis, IN 46202, USA; University of Illinois at Chicago, Department of Psychiatry, 1747 West Roosevelt Road, 279, Chicago, IL 60608, USA. Electronic address: lutherl@iupui.edu.
Melanie W FischerIndiana University-Purdue University Indianapolis, Department of Psychology, 402 N. Blackford St., LD 124, Indianapolis, IN 46202, USA. Electronic address: melwatki@iupui.edu.
Ruth L FirminUniversity of California Los Angeles, Semel Institute, 760 Westwood Plaza, Los Angeles, CA 90046, USA. Electronic address: rfirmin@iu.edu.
Michelle P SalyersIndiana University-Purdue University Indianapolis, Department of Psychology, 402 N. Blackford St., LD 124, Indianapolis, IN 46202, USA. Electronic address: mpsalyer@iupui.edu.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Indiana Clinical and Translational Sciences InstituteTL1TR001107 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$2.0M
Cognitive and Affective Dysfunctions in the PsychosesT32MH096682 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUECHTERLEIN, KEITH H · 2013 to 2018
$1.1M
NCATS NIH HHS TL1 TR001107NCATS NIH HHS UL1 TR001108NIMH NIH HHS T32 MH096682
6 · The paper itself

Abstract

Motivation and negative symptom research has recently been hampered by a series of inconsistent findings, leading to calls for a greater consensus on the type of measures used across studies. To inform this issue, we conducted a meta-analysis that quantified the association between motivation measures (self-report, performance-based) and clinician-rated negative symptom measures as well as a series of moderator analyses to develop a greater understanding of the measurement factors impacting this relationship. Forty-seven eligible studies with people with schizophrenia-spectrum disorders were included. Using a random-effects meta-analytic model, a small but significant overall effect size emerged between motivation and clinician-rated negative symptoms (r = -0.18). Several significant moderators were identified, including the generation of negative symptom measures such that there was a significantly stronger relationship between motivation and second-generation (r = -0.38) than first-generation negative symptom measures (r = -0.17). Further, the type of performance-based measure used moderated the relationship, with effort discounting tasks most strongly related to negative symptoms (r = -0.44). The domain of motivation assessed (intrinsic, extrinsic, amotivation) also moderated the relationship. These findings help to identify sources of inconsistencies observed in prior studies and point to both second-generation and effort discounting tasks as the most promising types of measures, particularly for those interested in validating motivation measures or assessing the effectiveness of motivation treatments. Although additional research is needed, our results suggest that using these measures may help to reduce inconsistencies across studies and move the field forward.

Indexed as

MotivationSchizophrenic PsychologySelf ReportHumansOutcome Assessment, Health CareSchizophreniaApathyAvolitionEffortEffort-based decision-makingMeasurementPsychosis

Identifiers

PMID30577993
PMCPMC6525651

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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.