Association of lipid levels with motor and cognitive function and decline in Parkinson's disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Most studies have focused on comparing blood lipid biomarkers between Parkinson's disease (PD) and normal controls (NC). However, further research is necessary to explore the impact of blood lipid levels on motor and cognitive function, as well as the progression of motor dysfunction and cognitive decline over time. Thus, the aim of this study is to investigate the relationship between blood lipid biomarkers and these indicators in individuals with PD. METHODS: The cohort study enrolled 157 PD patients and 146 NC from the Tianjin Huanhu Hospital from September 2017 to September 2019. Serum lipid fractions were detected in fasting serum samples. PD patients were followed up at 2 ± 0.6 years for clinical assessment. RESULTS: PD patients exhibited lower serum triglyceride (TG) levels as compared to NC (P = 0.008). PD male patients exhibited lower serum lipoprotein cholesterol(LDL-C) and total cholesterol (TC) levels than female patients (LDL-C: P = 0.034; TC: P = 0.019). Serum TG levels correlated significantly with Unified PD Rating Scale III, Hoehn and Yahr stage and Montreal Cognitive Assessment scores in PD patients. Additionally, serum TG levels were associated with follow-up motor function decline and cognitive decline in adjusted regression models in PD patients. CONCLUSIONS: To summarise, the study findings suggest that decreased serum TG levels are significantly associated with greater motor dysfunction, cognitive dysfunction and the greater deterioration of the two indicators.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it