Evidence map›Paper›PMID 41446304›Full record

ArticleFrontiers in psychiatry2025

Circuitry correlates of negative urgency and suicidality in schizophrenia spectrum disorders: a LASSO regression study.

Tyler Pia, Enna Sanghvi, Mark Shuquan Chen, Thomas Kim, Matthew J Hoptman, Anthony O Ahmed

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. 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
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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

6 authors.

Tyler PiaDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, United States.
Enna SanghviDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, United States.
Mark Shuquan ChenDepartment of Psychology, Yale University, New Haven, CT, United States.
Thomas KimDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, United States.
Matthew J HoptmanDivision of Clinical Research, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States.
Anthony O AhmedDepartment of Psychiatry, Weill Cornell Medicine, New York, NY, United States.

Funding

A Transdiagnostic Study of Emotional Impulsivity in Suicidal Ideation and BehaviorR01MH136161 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MATTHEW J HOPTMAN · 2024 to 2026
$2.4M
NIMH NIH HHS R01 MH136161
6 · The paper itself

Abstract

Objective: Suicidality is highly prevalent with vast public health implications. The association between schizophrenia spectrum disorders (SSDs) and suicidal ideation and related behaviors (SIBs) is well established. One construct that has received less attention is Method: We used least absolute shrinkage and selection operator (LASSO) logistic regression to generate classifications of individuals recruited as high-risk (n=14) and low-risk (n=16) for SIBs (n=30, M Results: Model 1 suggested that greater hostility, guilt, and negative urgency predicted higher likelihood of belonging to the high-risk group, whereas greater difficulty with abstract thinking predicted lower likelihood of belonging to the high-risk group. Model 2 suggested that greater hostility predicted higher likelihood of high-risk, whereas greater anterior cingulate thickness and increased activity in six brain regions-right superior frontal gyrus, left superior medial frontal gyrus, left superior frontal gyrus, right middle frontal gyrus, and right middle cingulate gyrus-predicted a lower likelihood of high SIB. Discussion: Negative urgency and SSD symptoms can classify high-and low-risk groups accurately, and inclusion of brain data slightly increased predictive accuracy.

Indexed as

LASSOpsychosisschizophrenia spectrum disorderssuicidal behaviorsuicidal ideationsuicidalityurgency

Identifiers

PMID41446304
PMCPMC12722959

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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.