The Importance of Identifying Early Changes in Cardiac Structure and Function for the Prevention of Cognitive Impairment and Dementia
Bibliographic record
Abstract
Multiple cardiac pathologies have been shown to contribute to progressive cognitive decline and dementia in elderly populations, including left ventricular hypertrophy (LVH), a marker of prolonged exposure to hypertension. Although associations between chronic hypertension and cognitive function are thought to be mediated primarily by these end organ effects, there is increasing evidence that early changes in cardiac structure and function, such as LVH, may independently contribute to cognitive decline and impairment. In the current issue of the Journal of Alzheimer's Disease, Mahinrad and colleagues report important new findings on the association between LVH and cognitive function that are incremental to cardiovascular risk and co-morbidity, including hypertension. Emerging evidence that early changes in cardiac structure and function may independently contribute to cognitive decline in elderly populations has resulted in an increased interest in these preclinical substrates as potential treatment targets for the prevention of cognitive decline and in their putative contributions to the pathogenesis of dementia.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.015 | 0.021 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".