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Record W1981019583 · doi:10.1002/mds.20608

Parkinson's disease, stroke, and related epidemiology

2005· article· en· W1981019583 on OpenAlexaff
Andrew Nataraj, Ali H. Rajput

Bibliographic record

VenueMovement Disorders · 2005
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
Fundersnot available
KeywordsMedicineDiabetes mellitusStroke (engine)Orthostatic vital signsInternal medicineDiseaseEpidemiologyCoronary artery diseasePopulationLogistic regressionParkinson's diseaseCardiologyPhysical therapyBlood pressureEndocrinology

Abstract

fetched live from OpenAlex

We investigated the prevalence of cerebrovascular disease and other comorbidities in Parkinson's disease (PD) patients compared to the general population. Five hundred PD patients were chosen randomly from one author's (A.H.R.) database. Age- and sex-matched controls were derived from 270 patients with essential tremor from the same database and from 490 patients in a general practitioner's database. Age, hypertensive status, smoking status, coronary artery disease, orthostatic hypotension, diabetes mellitus, and symptomatic cerebrovascular disease (stroke or transient ischemic attack) were assessed. Statistical analysis was performed using Pearson chi(2) testing and binary logistic regression analysis. The prevalence of coronary artery disease, hypertension, diabetes mellitus, and orthostatic hypotension was similar among groups. The PD group had more patients who never smoked and less current smokers than the other groups. While there were similar frequencies of symptomatic cerebrovascular disease among groups, the prevalence of stroke was lower in PD patients. This difference disappeared upon stratification into groups based on smoking status and in the addition of smoking as a covariate in the multivariate analysis. Diminished smoking in PD patients likely plays a role in our finding of decreased stroke in patients with PD. Increased access to appropriate neurological care and subsequent prevention of stroke after a warning transient ischemic attack may also play a role, as may diminished levels of excitotoxic neurotransmitters in PD patients.

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)0.000
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 score0.241
Threshold uncertainty score0.834

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)0.0010.000

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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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".

Quick stats

Citations59
Published2005
Admission routes1
Has abstractyes

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