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Record W7144923976

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· W7144923976 on OpenAlexaboutno aff
Shinichi Chiba, Masahito Tomotake, Masatomo Aono, Hidefumi Toshimitsu, Tetsuro Ohmori

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2017
Typearticle
Languageja
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)Positive and Negative Syndrome ScaleCognitionExtrapyramidal symptomsSocial functionDepression (economics)Negative symptomPsychosis
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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.060
GPT teacher head0.319
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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