Asociación entre comorbilidades cardiometabólicas y enfermedad de Parkinson en población mexicana
Bibliographic record
Abstract
Background: The prevalence of Parkinson's disease (PD) increases as the population ages.Studies have shown that some cardiometabolic comorbidities could be associated with risk or protection against developing PD.A retrospective case-control study was carried out to analyze the relationship between PD and cardiometabolic comorbidities.Material and methods: Subjects with PD and controls without PD were consecutively recruited.Data on type 2 diabetes mellitus, systemic arterial hypertension (SAH), dyslipidemia and body mass index were collected.Logistic regression analyses were carried out.Results: A total of 781 subjects with PD (56.5% males) and 1,000 controls (44.4% males) were included.After adjusting for age and gender, SAH was found as an independent risk factor (OR: 1.32; 95% CI: 1.05-1.67;p = 0.02), and obesity as a protective factor (OR: 0.72; 95% CI: 0.56-0.93;p = 0.01).Conclusions: Subjects with SAH had a higher risk of having PD, while obese subjects had a lower risk of having PD.The relationship between cardiometabolic disease, its treatment, and PD etiopathogenesis appears to be extremely complex given the amount of contradictory data.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".