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Record W2022840848 · doi:10.1016/s0924-9338(12)75484-6

P-1317 - Evaluation of insight and fuctional recovery in patients with schizophrenia

2012· article· en· W2022840848 on OpenAlexaboutno aff
Aykut Karahan, A. Tiryaki, Baykal Iskender, Evrim Özkorumak

Bibliographic record

VenueEuropean Psychiatry · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychologyChemistryFood scienceInternal medicineMedicinePsychiatry

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the factors which influence schizophrenia patients’ levels of insight and functional remission. In this study, 70 outpatients between the ages of 18–65 who applied to the Karadeniz Technical University Psychiatry Clinic and were diagnosed with schizophrenia according to DSM-IV were evaluated. Patients who have disease which affects the central nervous system, whose CGI disease severity score is above four, who were taken as inpatients to the hospital in the last two months were excluded from the study. The patients were evaluated by using socio-demographic data collection form, clinical interview structured for DSM (SCID-I), the Positive and Negative Syndrome Scale (PANSS), Calgary Depression Scale (CDS), the Functional Remission of General Schizophrenia Scale (FROGS), Schedule for Assessing the Three Components of Insight (SAI-E) and cognitive test battery. Patients SAI-E levels were found to be correlated with the PANSS, Stroop Test (ST), Controlled Word Association Test (FAS) and Trail Making Test (TMT) A-B scores. In the regression analysis, FAS scores were the predictor of SAI-E total scores .The FROGS functional levels of patients were found to be related with occupational status, gender, age of onset illness, comorbid psychiatric illness, PANSS, CDS, SAI-E, FAS, TMT, ST and Wisconsin Card Sorting Test scores. In the regression analysis, occupational status, comorbid obsessive compulsive disorder, PANNS negative and general psychopathology and FAS scores were the predictors of patients’ functional status. The effect of cognitive functioning and insight on the patients’ level of functionality is prominent.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.235
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2012
Admission routes1
Has abstractyes

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