Bibliographic record
Abstract
Background. beta-blockers have been the cornerstone of therapy for hypertension for at least 20 years. The use of newer agents including calcium antagonists and ACE inhibitors is increasing. Objective. To examine whether calcium antagonists and ACE inhibitors independently are associated with increased all-cause and cause-specific mortality relative to beta-blockers. Methods. This was a population-based cohort study. Within the cohort, a nested case-control approach was used for analysis. We used Saskatchewan Health databases. A cohort of 19,501 subjects initiating therapy for uncomplicated hypertension between January 1st, 1990 and December 31st, 1993 was identified. Cases were all deaths between January 1st, 1990 and April 1st, 1997. Cause of death was determined and coded according to ICD-9 as abstracted from the death certificate, specifically identifying cardiovascular disease, coronary heart disease and stroke. Five controls were matched to each case on entry date and time at risk of an event. Current use of antihypertensive drugs was defined as drugs dispensed within 90 days prior to the event date. (Abstract shortened by UMI.)
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".