Preservation of cognition in hypertension-treated South Indian rural population
Bibliographic record
Abstract
Abstract Change in diet, life style and increased life expectancy has led to the dramatic escalation in old age related complication like cognitive decline leading to dementia. Cardiovascular diseases (CVD) are huge risk factors for dementia, including Alzheimer disease (AD). Hypertension is very well known to cause cognitive impairment. Control of CVD could provide protection against dementia. Earlier, in the mouse model of AD, reserpine, an antihypertensive and antipsychotic drug could elicit improvement in the working memory in AD model mice and enhance the same in normal mice. Hence, Cognitive protection in the patients on chronic antihypertensive drug which contains reserpine was evaluated. Cognition in a cohort (in the South Indian rural population) of hypertensive patients (majority age group – 50-70 years) who have been chronically treated with a combinatorial drug, (adelphane/adelphane esidrex-Novaritis, Switzerland) consisting of reserpine and hydrazine for years was compared with controls without hypertension. The cohorts were age, sex, socio-economic, education background matched. Cognition was scored using the Tamil version of: Addenbrooke’s Cognitive Examination-III (T-ACEIII) and Tamil-Montreal Cognitive Assessment (T-MoCA) scales. The composite T-ACEIII score of control and treated groups were 53.6 and 53.2, respectively. T-MoCA scores (Control-15.1 and Treated-14.7) did not show much alteration. Further, the mean scores of the control and treated groups’ individual components of cognition in ACE, namely, Attention, Memory, Fluency, Language and visuospatial – cognitive skills also did not reveal significant difference. Thus, controlling blood pressure or hypertension with chronic antihypertensive medication like adelphane/adelphane esirdex (reserpine containing drugs) has retained normal cognition in both genders.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".