Comparative effectiveness of antihypertensive drugs in nondiabetic patients with hypertension: A population‐based study
Bibliographic record
Abstract
The authors compared the effectiveness of thiazide diuretic (TD), angiotensin-converting enzyme inhibitor (ACEI), angiotensin receptor blocker (ARB), and calcium channel blocker (CCB) monotherapies for the treatment of nondiabetic hypertension using MarketScan Databases 2010-2014. Multivariable Cox regression models assessed whether the addition of a new antihypertensive drug, treatment discontinuation, or switch and major cardiovascular or cerebrovascular events varied across groups. A total of 565 009 patients started monotherapy with ACEIs (43.6%), CCBs (23.6%), TDs (18.8%), or ARBs (14.0%). Patients who took TDs had a higher risk for either drug addition or discontinuation than patients who took ACEIs (hazard ratio [HR], 0.69 [95% CI, 0.68-0.70] vs HR, 0.81 [95% CI, 0.80-0.81]), ARBs (HR, 0.67 [95% CI, 0.66-0.68] vs HR, 0.66 [95% CI, 0.65-0.67]), and CCBs (HR, 0.85 [95% CI, 0.84-0.87] vs HR, 0.94 [95% CI, 0.93-0.95]). Conversely, patients who took TDs experienced a lower risk of clinical events compared with patients who took ACEIs (HR, 1.24 [95% CI, 1.15-1.33]), ARBs (HR, 1.28 [95% CI, 1.18-1.39]), and CCBs (HR, 1.35 [95% CI, 1.25-1.46]). Our results provide a strong rationale for choosing TDs as first-line monotherapy for the control of hypertension.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 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 | 0.001 |
| 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".