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Record W3087674892 · doi:10.1111/sltb.12689

Suicidal ideation, suicide attempts, and neurocognitive dysfunctions among patients with first‐episode schizophrenia

2020· article· en· W3087674892 on OpenAlexaboutno aff
Yi Yin, Jinghui Tong, Junchao Huang, Baopeng Tian, Song Chen, Yimin Cui, Huimei An, Shuping Tan, Zhiren Wang, Fude Yang, Li Tian, Yongsheng Tong, L. Elliot Hong, Yunlong Tan

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2020
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
FundersNational Institutes of HealthNational Natural Science Foundation of China
KeywordsNeurocognitivePsychopathologySuicidal ideationSchizophrenia (object-oriented programming)Positive and Negative Syndrome ScaleClinical psychologyPsychologyPsychiatryPoison controlDepression (economics)Suicide preventionCognitionMedicinePsychosisMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether suicidal ideation or suicide attempts are linked to poor neurocognitive function among individuals with first-episode schizophrenia (FES). METHOD: = 27.1 years; 52.2% females) with minimal-treated FES and collected their suicidal history through interviews and medical records. Neurocognitive performance, psychopathology, and depressive symptoms were assessed using the MATRICS Consensus Cognitive Battery, the Positive and Negative Syndrome Scale, and the Calgary Depression Scale for Schizophrenia, respectively. RESULTS: Approximately 1/10 FES inpatients had any suicide attempts, and more than 1/4 reported lifetime suicidal ideation. Inpatients with a suicide attempt or suicidal ideation scored significantly worse in the overall seven neurocognitive domains compared with those without past suicidal ideation or a suicide attempt. Linear regression suggested that suicide attempts were mainly associated with lower scores in working memory and speed of processing, after adjusting for education levels. The associations remained robust after further controlling for psychopathological and depressive symptoms. CONCLUSION: First-episode schizophrenia patients with suicide attempts had more severely impaired neurocognitive performances in specific domains. Fundamental neurocognitive dysfunctions should be assessed, detected, and treated after their suicide risk assessments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.273
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2020
Admission routes1
Has abstractyes

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