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Symptoms and Magnetic Resonance Imaging Analysis of Parkinsonism in Cerebral Small Vessel Disease

2023· article· en· W4407306691 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Biological Regulators and Homeostatic Agents/Journal of Biological Regulators & Homeostatic Agents · 2023
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and genetic disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMagnetic resonance imagingParkinsonismNuclear magnetic resonanceMedicineDiseaseRadiologyPathologyPhysics

Abstract

fetched live from OpenAlex

Objective: In this study, we aimed to explore the features of motor symptoms, non-motor symptoms, and magnetic resonance imaging (MRI) of vascular parkinsonism (VP) in patients with cerebral small vessel disease (CSVD). Methods: The clinical data of consecutive patients who visited the Neurological Department of the Second Hospital of Tianjin Medical University were collected—We collected 40 cases of CSVD patients who met the diagnostic criteria of VP as the CSVD-VP group, at the same time, 46 patients without VP symptoms were collected as the control group (CSVD group). Several scales were used to evaluate the patients’ motor and non-motor functions, and all patients underwent 3.0T MRI. Results: The rate of diabetes, cerebral infarction, and hypercholesterolemia in the CSVD-VP group was significantly higher than that in the CSVD group ( p < 0.05). The mean Barthel index of the CSVD-VP group was 72.00 (10.05), which was significantly lower than that of the CSVD group 82.75 (8.39) ( p < 0.05). Among the least scoring items were urinary incontinence and difficulty walking up and down stairs. The total score of Unified Parkinson’s Disease Rating Scale (UPDRS) III in the CSVD-VP group was 16.53 (5.89), which was significantly higher than that in the CSVD group 3.51 (2.05) ( p < 0.05). The scores of Tinetti balance 10.15 (2.15) and gait 9.03 (1.45) in the CSVD-VP group were significantly lower than those in the CSVD group ( p < 0.05). The scores of Mini-Mental State Examination 23.85 (2.41) and Montreal Cognitive Assessment 21.35 (2.50) in the CSVD-VP group were significantly lower than those in the CSVD group 25.00 (2.00) and 23.00 (1.99), respectively ( p < 0.05). Lacunes and white matter lesion (Fazekas ≥2) in the CSVD-VP group were more significant than those in the CSVD group ( p < 0.05). Conclusions: Patients with CSVD-VP had a lower daily living ability score and higher UPDRS III score than those with CSVD alone, the symptoms of parkinsonism in the CSVD-VP patients were accompanied by cognitive dysfunction, urinary incontinence, anxiety, depression, and other non-motor symptoms. The MRI scans of CSVD-VP patients had more obvious lacunar infarction and white matter hyperintensities around the basal ganglia.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.274
Teacher spread0.250 · 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.

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
Published2023
Admission routes1
Has abstractyes

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