CagriSema Reduces Blood Pressure in Adults With Overweight or Obesity: REDEFINE 1
Bibliographic record
Abstract
BACKGROUND: Fixed-dose combination of semaglutide/cagrilintide (CagriSema 2.4 mg/2.4 mg) has demonstrated significant and clinically relevant body weight reductions in adults with overweight or obesity compared with placebo. METHODS: with ≥1 obesity-related complication, to once-weekly CagriSema 2.4 mg/2.4 mg, semaglutide 2.4 mg, cagrilintide 2.4 mg, or placebo, plus lifestyle intervention. Secondary and post hoc analyses evaluated the antihypertensive effect from REDEFINE 1, focusing on CagriSema and placebo groups, by subgroup/category, including baseline body mass index, the presence of hypertension or resistant hypertension at baseline, and concomitant changes in the use of antihypertensive medications. RESULTS: Overall, 3417 participants underwent randomization; CagriSema: n=2108, semaglutide: n=302, cagrilintide: n=302, and placebo: n=705. Changes from baseline to week 68 in blood pressure (BP) were greater with CagriSema versus placebo (systolic BP: -10.9 versus -2.8 mm Hg; diastolic BP: -5.4 versus -1.7 mm Hg, respectively). The proportion of participants reaching BP targets at week 68 was 63.0% and 32.0% for CagriSema and placebo, respectively. The proportion of participants with resistant hypertension at baseline (n=167) that reached BP targets at week 68 was 42.0% and 29.3% for CagriSema and placebo, respectively (odds ratio, 1.7 [95% CI, 0.7-4.4]). Among participants who used antihypertensive medication during the study, 39.6% in the CagriSema group decreased or stopped treatment from week 0 to week 68 versus 18.8% with placebo. CONCLUSIONS: CagriSema presents clinically relevant reductions in BP across a wide range of participant subgroups, including those with resistant hypertension. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT05567796.
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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) | 0.001 | 0.001 |
| 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) | 0.005 | 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".