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Characteristics of Psychosis in Parkinson's Disease without Dementia (P4.332)

2016· article· en· W2559715786 on OpenAlexaboutno aff
Matthew J. Barrett, Carol A. Manning, Binit Shah, Lama Alameddin, Jessica Stenclik, Flanigan Joseph, Madaline B. Harrison, G. Frederick Wooten, Scott A. Sperling

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosisDementiaParkinson's diseaseMedicineDiseasePsychiatryNeurosciencePsychologyInternal medicine

Abstract

fetched live from OpenAlex

Objective: The objective of this study was to investigate clinical characteristics and cognitive correlates of psychosis in non-demented Parkinson disease (PD) patients. Background: Psychosis affects between 50-75[percnt] of PD patients and is associated with worse axial symptoms, autonomic dysfunction, longer disease duration, and worse clinical outcomes. Many studies show a relationship between cognitive impairment and psychosis in PD, but less is known about the clinical characteristics of non-demented PD patients with psychotic symptoms. Methods: We recruited 83 PD subjects without dementia (Montreal Cognitive Assessment ≥21/30) into a prospective study to investigate risk factors for neuropsychiatric symptoms in PD. Psychotic symptoms were assessed with the Scale for the Assessment of Positive Symptoms. Visual illusions and sense of presence were queried separately. Subjects completed a brief neuropsychological battery. Results: 26 (31[percnt]) subjects met diagnostic criteria for psychosis in PD: 18 (23[percnt]) had visual illusions, 15 (19[percnt]) had hallucinations, 5 (6[percnt]) had sense of presence, and 3 (4[percnt]) had delusions. Of those with hallucinations, 69[percnt] had visual hallucinations, 38[percnt] had auditory hallucinations, 19[percnt] had olfactory hallucinations, and 13[percnt] had somatic hallucinations. In bivariate comparisons, PD subjects with psychosis had longer mean duration of disease (7.8 years versus 5.8 years, p=0.02), greater mean daily levodopa equivalent dose (LED) (700 mg versus 450 mg, p=0.01), and higher mean MDS-UPDRS Part III score (30.6 versus 23.9, p=0.03) compared to PD subjects without psychosis. There were no significant differences between groups on neuropsychological testing scores. In a logistic regression model, adjusted for duration of disease and LED, only MDS-UPDRS Part III was a significant independent predictor of psychosis (p=0.05). Conclusions: In PD subjects without dementia, greater MDS-UPDRS Part III score was significantly associated with increased risk of psychosis. Further research is needed to understand the characteristics and natural history of psychosis in this group.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.268
Teacher spread0.252 · 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
Published2016
Admission routes1
Has abstractyes

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