Evidence map›Paper›PMID 36436427›Full record

ArticleJournal of psychiatric research2023

Mild vs. moderate: How behavioral speech measures predict metacognitive capacity across different levels of formal thought disorder.

Evan J Myers, Danielle B Abel, Kathryn L Hardin, Robert J Bettis, Ashlynn M Beard, Michelle P Salyers, Paul H Lysaker, Kyle S Minor

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2023. 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
–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

5 citing papers in PubMed.

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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

8 authors.

Evan J MyersDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: evjmyers@iupui.edu.
Danielle B AbelDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: dbeaudet@iupui.edu.
Kathryn L HardinDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: hardinkl@iupui.edu.
Robert J BettisDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: rbettis@iupui.edu.
Ashlynn M BeardDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: ashbeard@iupui.edu.
Michelle P SalyersDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: mpsalyer@iupui.edu.
Paul H LysakerRichard L. Roudebush VA Medical Center, Department of Psychiatry, Indianapolis, IN, United States; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States. Electronic address: plysaker@iupui.edu.
Kyle S MinorDepartment of Psychology, Indiana University - Purdue University Indianapolis, Indianapolis, IN, United States. Electronic address: ksminor@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 InstituteKL2TR001106 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$3.2M
NCATS NIH HHS KL2 TR001106NCATS NIH HHS UL1 TR001108
6 · The paper itself

Abstract

Disorganized speech is a key component of formal thought disorder (FTD) in schizophrenia. Recent work has tied disorganized speech to deficits in metacognition, or one's ability to integrate experiences to form complex mental representations. The level of FTD at which differences in metacognitive capacity emerge remains unclear. Across two studies, using different cut scores to form FTD groups, we aimed to 1) explore the relationship between disorganized speech and metacognition and 2) compare trained rater and automated analysis methods. Clinical interviews were coded for disorganized speech and metacognition using the Communication Disturbances Index (CDI), Coh-Metrix multidimensional indices, and Metacognition Assessment Scale. In Study 1, we examined CDI and Coh-Metrix's ability to predict metacognition in FTD (n = 16) and non-FTD (n = 29) groups. We hypothesized the FTD group would have lower metacognition and that both CDI and Coh-Metrix would account for significant variance in metacognition. In Study 2, we conducted the same analyses with an independent sample using more stringent FTD cut scores (FTD: n = 23; non-FTD: n = 23). Analyses indicated that at a moderate but not mild cutoff: 1) automated methods differentiated FTD and non-FTD groups, 2) differences in metacognition emerged, and 3) behavioral measures accounted for significant variance (34%) in metacognition. Results emphasize the importance of setting the FTD cutoff at a moderate level and using samples that contain high levels of FTD. Findings extend research linking FTD and metacognition and demonstrate the benefit of pairing trained rater and automated speech measures.

Indexed as

Cognition DisordersMetacognitionSchizophreniaCognitionHumansSpeechDisorganized speechFormal thought disorderMetacognitionSchizophrenia

Identifiers

PMID36436427
PMCPMC9898140

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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.