Statistical Investigation of Correlation between Cardiovascular Event ad Hypertension
Bibliographic record
Abstract
Cardiovascular disease is one of the most severe health killers in modern life. In this study, the association among the risk of cardiovascular diseases, patients’ blood pressure and treatment was analyzed. This study makes a secondary analysis on the data from the Evidence for Cardiovascular Prevention from Observational Cohorts in Japan (EPOCH-JAPAN) database. Participants have recruited 39705 representative participants with diverse blood pressure. The results show that the treated participants have a higher proportion of diabetes mellitus, dyslipidemia, and history of cardiovascular diseases (P<0.0001), compared with untreated participants. During the 10-year follow-up period, there were 2032 cardiovascular deaths distributed among coronary heart disease(CHD), heart failure, and stroke. The treated participants showed an significantly risk for cardiovascular mortality (Hazard ratios (HR):1.5; 95% confidence intervals (CI):1.36-1.66), CHD (HR:1.53, 95%CI: 1.23-1.9), heart failure (HR:1.39; 95%CI: 1.09-1.76) and stroke (HR:1.48; 95%CI: 1.28-1.72). Especially for the participants under antihypertensive medication, their risk of cardiovascular mortality was 1.5 times higher than that of the untreated participants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".