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Cognitive function in PD patients without dementia

2012· article· en· W3030860572 on OpenAlexaboutno aff
Bingmei Deng

Bibliographic record

VenueChinese Journal of Neuromedicine · 2012
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionDementiaLogistic regressionRecallAudiologyPsychologyCognitive impairmentMedicinePsychiatryInternal medicineDiseaseCognitive psychology

Abstract

fetched live from OpenAlex

Objective To analyze the characteristics of cognitive function impairment in PD patients without dementia and their influencing factors, and provide evidence for early recognition and treatment of cognitive deficits in PD patients. Methods Fifty-six PD patients without dementia,admitted to our hospital from January 2010 to October 2011 were assessed with mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) for cognitive function. Logistic stepwise regression was employed to analyze the influencing factors of cognitive function impairment.Results Using MMSE scores as the standard for recognition, PD patients with mild cognitive impairment (MCI) accounted for 7.14% (6/56); however,using MoCA scores,they accounted for 71.43%(40/56). Both of the MMSE and MoCA scores were positively correlative with the education degree of the patients (r=0.483,P=-0.007; r=0.503,P=0.000).In the cognitive domain of MMSE,the scores of visuospatial function,and abilities of delayed recall,calculation,attention and repetition had significant decrement; and MMSE indicated that abilities of delayed recall, immediate memory, calculation and attention,and visuospatial function were main cognitive disturbances of PD.In the cognitive domain of MoCA,the scores of visuospatial and executive functions,and abilities of delayed recall,abstraction and repetition had significant decrement; MoCA indicated that visuospatial and executive functions,abilities of delayed recall,denomination,attention,abstraction and repetition were main cognitive disturbances of PD. Logistic regression analysis showed that education degree and clinical types were the main influencing factors of cognitive function impairment in PD patients. Conclusion Cognitive impairment is very common in patients with PD,and the main cognitive deficits involve visuospatial and executive functions,abilities of delayed recall,calculation,attention,abstraction and repetition; education degree and clinical types are the influencing factors of cognitive impairment of PD. Key words: Parkinson'sdisease; Cognitivefunctionimpairment; Montrealcognitive assessment

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)0.001
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 score0.009
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.017
GPT teacher head0.324
Teacher spread0.307 · 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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Citations0
Published2012
Admission routes1
Has abstractyes

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