Evidence map›Paper›PMID 42423687›Full record

ArticleJournal of psychopathology and clinical science2026

Can speech reveal mental health status? A study of linguistic features across multiple samples of at-risk adults.

Jianfeng Zhu, Megan Korhummel, Emily Gawlik, Ruoming Jin, Karin G Coifman

Abstract read
In one paragraph

Article in Journal of psychopathology and clinical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jianfeng ZhuDepartment of Computer Science, Kent State University.
Megan KorhummelDepartment of Psychological Science, Kent State University.
Emily GawlikDepartment of Psychological Science, Kent State University.
Ruoming JinDepartment of Computer Science, Kent State University.
Karin G CoifmanDepartment of Psychological Science, Kent State University.ORCID 0000-0002-2372-0081

Funding

Unpacking Emotion Inflexibility and Prospective Prediction of Affective DiseaseR01MH113622 · NIMH · KENT STATE UNIVERSITY · PI COIFMAN, KARIN GALIAH · 2018 to 2022
$3.1M
Kent State University; Applied Psychology CenterNational Multiple Sclerosis FoundationNIH HHSNIMH NIH HHS R01 MH113622
6 · The paper itself

Abstract

An urgent challenge in clinical science is the reliable detection of psychiatric risk in the aftermath of traumatic or stressful events. Current screening tools rely on patient symptom reports that are low in specificity and may confound normative reported distress with symptom escalation. The consequences of this lack of precision are significant, and there is a need for novel tools that will detect not only individuals at risk for psychiatric disorders but also those whose adaptation represents resilience and/or normative recovery pathways. In the current investigation, we applied natural language processing and large language models to transcripts of adult individuals (

Identifiers

PMID42423687
PMCPMC13353205

What OpenQuestion holds

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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.