Evidence‐based care for the elderly with isolated systolic hypertension
Bibliographic record
Abstract
This paper reviews the epidemiology, pathophysiology and clinical significance of isolated systolic hypertension (ISH) in the elderly. Aging is associated with structural and functional changes in the arterial tree. Intimal thickening, migration of small muscle cells to the intima, medial fibrosis, and elastic fiber degeneration result in increased arterial stiffness and ISH. The augmented systemic vascular resistance in the elderly is mediated by increased arterial stiffness. Aging is correlated with overactivity of the sympathetic nervous system, reduced neuronal plasma norepinephrine uptake, and baroreceptor dysfunction. These functional changes all contribute to the development of ISH in elderly persons. Prospective and epidemiological studies have demonstrated that ISH is associated with coronary and cerebrovascular morbidity and mortality. There is good evidence indicating that lifestyle modifications such as weight reduction, increased physical activity, moderation of dietary sodium, and decreased alcohol intake, in combination with pharmacological therapy can effectively reduce blood pressure in elderly individuals with ISH. Primary health care providers can make significant contributions to the care of elderly persons with ISH. These contributions involve educating elderly people to control hypertension through lifestyle modification, monitoring the efficacy of antihypertensive therapy, and preventing complications associated with non-compliance with therapeutic regimens.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".