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Apathy and related factors in patients with Parkinson’s disease

2012· article· en· W3031623857 on OpenAlexaboutno aff
Zheng-qin Liu

Bibliographic record

VenueChin J Neurol · 2012
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsApathyHamdMontreal Cognitive AssessmentDepression (economics)Rating scaleParkinson's diseasePsychologyPsychiatryInternal medicineMedicineLogistic regressionPhysical therapyDiseaseCognitionDementia

Abstract

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Objective To investigate the prevalence, clinical traits and correlates of apathy in patients with Parkinson’s disease(PD). Methods Seventy-seven cases of PD patients and 40 health controls were recuited in the present study. Apathy was assessed using Lille Apathy Rating Scale(LARS)and related factors, such as motor function, cognition, depression, age, sex, education level, disease duration, levodopa equivalent doses (LED) and use of antipsychotic drugs were also evaluated. Four kinds of scales, Unified Parkinson’s Disease Rating Scale (UPDRS), Hoehn-Yahr staging, Montreal Cognitive Assessment (MoCA), Hamilton Depression Rating Scale (HAMD) were employed to evaluate the motor function, cogniton and depression, respectively. Results The prevalence of apathy and depression in the 77 PD patients were 49.4%(38/77) and 46.8%(36/77), respectively. Of the 77 PD patients, 11 cases had apathy without depression (14.3%); 9 cases had depression without apathy(11.7%) and 27 cases had apathy combined with depression(35.1%). Among the PD patients with apathy, the cognitive type is the most common one, accounting for 86.8%(33/38). There were significant statistical differences in education level,UPDRS-Ⅱ/Ⅲ scores, Hoehn-Yahr staging, MoCA and HAMD scores between apathy(n=38) and no-apathy(n=39) PD patients(t= 2.309, -3.144,-4.000, -3.217, 2.649,-3.909, all P<0.05). According to the unifactoral Logistic regression analysis of apathy correlates, UPDRS-Ⅱ/Ⅲ scores, Hoehn-Yahr staging and HAMD scores were the risk factors for apathy while education level and MoCA were the protective factors for apathy. In the multiple Logistic regression analysis, HAMD scores,UPDRS-Ⅱ scores and education level were included. Conclusions The prevalence of apathy in PD patients was significantly higher than healthy controls. Apathy could be present without depression in PD patients, and was associated with education level, motor dysfunction degree, cognitive impairment and depression severity. Key words: Parkinson disease; Apathy; Depression; Prevalence

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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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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".

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Citations1
Published2012
Admission routes1
Has abstractyes

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