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Record W2914834624

Functional Independence Measureを用いて評価した統合失調症入院患者の基本的な社会生活機能と臨床諸要因との関連

2017· article· ja· W2914834624 on OpenAlexaboutno aff
進一 千葉, 正人 友竹, 将知 青野, 秀文 利光, 哲郎 大森

Bibliographic record

Venue四国医学雑誌 = Shikoku acta medica · 2017
Typearticle
Languageja
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsPositive and Negative Syndrome ScaleSchizophrenia (object-oriented programming)CognitionPsychologyExtrapyramidal symptomsSocial functionPsychiatryDepression (economics)Internal medicineNegative symptomClinical psychologyCorrelationPsychosisMedicineAntipsychoticHumanities
DOInot available

Abstract

fetched live from OpenAlex

Objective : The aim of the present study is to explore clinical factors associated with basic ability of social life in schizophrenia inpatients. Methods : The subjects were 50 inpatients with schizophrenia (DSM‐IV). Their mean age was 53.08 (SD=12.08) years. Social life functioning was evaluated using the Functional Independence Measure (FIM). Cognitive function was assessed with the Brief Assessment of Cognition in Schizophrenia (BACS) and clinical symptoms with the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia (CDSS) and the Drug-Induced Extrapyramidal Symptoms Scale (DIEPSS). Results : FIM motor subscale score showed a significant correlation with the DIEPSS score (r=0.33, p<0.05). The FIM cognitive subscale score showed significant correlations with the PANSS positive syndrome score (r=-0.30, p<0.05), the PANSS negative syndrome score (r=-0.37, p<0.01) and the DIEPSS score (r=-0.40, p<0.01). Conclusion : These results suggest that positive and negative symptoms and drug-induced extrapyramidal symptoms are much more important factors related to lowered basic ability of social life of schizophrenia inpatients than cognitive function.

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)0.015
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0120.002
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0310.018

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 head0.147
GPT teacher head0.455
Teacher spread0.308 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2017
Admission routes1
Has abstractyes

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