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Record W4415147346 · doi:10.5213/inj.2550094.047

Lower Urinary Tract Symptoms Correlation With Motor and Cognitive Function in Patients With Parkinson Disease

2025· article· en· W4415147346 on OpenAlexaboutno aff
Valentina Leta, К. Ray Chaudhuri, Nicholas Faure Walker

Bibliographic record

VenueInternational Neurourology Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersKing's College LondonKing's College Hospital NHS Foundation Trust
KeywordsCognitionDiseaseUrinary systemLower urinary tract symptomsCorrelationMotor functionIntervention (counseling)

Abstract

fetched live from OpenAlex

PURPOSE: Parkinson disease (PD) is a common, progressive neurodegenerative disease, affecting approximately 1% of the population over 60. The associated morbidity and mortality are increasing at a faster rate than for any other neurological disorder. Lower urinary tract symptoms (LUTS) are reported in up to 85% of patients and can significantly impair quality of life (QoL). There are few studies to date that utilise the Montreal Cognitive Assessment (MoCA) to assess cognitive performance and compare this to motor symptoms and LUTS severity. METHODS: An observational, cross-sectional study was performed. Data was collected prospectively from patients diagnosed with PD attending a specialist movement disorder clinic using fully validated, detailed questionnaires and scales routinely employed in clinical practice (ICIQ-MLUTS, ICIQ-FLUTS, Unified PD Rating Scale - Motor Examination, modified Hoehn and Yahr, MoCA). Statistical analyses were performed using Stata/MP 17. RESULTS: Data from 18 patients was collected (15 male and 3 female subjects; median age, 69 years; median disease duration, 4 years; median modified Hoehn and Yahr stage, 2.5; median MoCA score, 24). Urinary incontinence symptoms scores were significantly correlated with worse QoL scores due to LUTS (r=0.76, P<0.001), with total urinary symptoms scores (r=0.82, P<0.001), and negatively correlated with MoCA scores (r=-0.52, P=0.046). No correlation was found between urinary incontinence symptoms and motor symptoms severity scores (r=0.09, P=0.725). The non-drug-naive group (n=12, 66.7%) was found to have higher motor symptoms scores (P=0.065), higher LUTS scores (P=0.239), worse QoL scores due to LUTS (P=0.244), and similar MoCA scores (P=0.785) to the drug-naive group (n=6, 33.3%). CONCLUSION: Cognitive impairment in patients with PD appears to be more strongly associated with urinary incontinence severity than motor symptoms. When considering the appropriateness of urological intervention in PD patients, cognitive function should be taken into account as well as motor 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 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 score0.017
Threshold uncertainty score0.428

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 head0.005
GPT teacher head0.230
Teacher spread0.226 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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