Effect of incretin-based therapies on blood pressure: a systematic review and meta-analysis
Bibliographic record
Abstract
AIMS: Hypertension and obesity frequently coexist and synergistically increase cardiovascular (CV) risk. Incretin-based therapies with glucagon-like peptide-1 receptor agonists (GLP-1-RAs), gastric inhibitory polypeptide (GIP)/GLP1-RAs, and glucagon/GIP/GLP-1RAs lead to substantial weight loss. However, their antihypertensive efficacy and safety profile have not been comprehensively quantified. Our study aimed to evaluate the effects of incretin-based therapies on office systolic blood pressure (BP) (SBP), diastolic BP (DBP), all-cause mortality, and key safety outcomes, i.e. hypoglycaemia and pancreatitis episodes, in adults with overweight or obesity. METHODS AND RESULTS: We searched PubMed, EMBASE, and ClinicalTrial.gov from inception to 30 April 2024 for randomized controlled trials (RCTs) comparing incretin-based therapy with placebo and ≥1 month of follow-up. The primary outcome was change in SBP; secondary outcomes were change in DBP, all-cause mortality, hypoglycaemia, and pancreatitis. Random effects meta-analyses generated mean differences (MDs) or risk ratios (RRs) along with 95% confidence intervals (CIs). Heterogeneity was explored with I2 statistics, subgroup analyses, and meta-regression. Eighty-five RCTs encompassing 90 977 participants (median follow-up time 8 months) met the eligibility criteria. GLP1-RAs reduced SBP by 3.4 mmHg (95% CI 2.8-4.0) and DBP by 0.9 mmHg (95% CI 0.5-1.2). A higher weight loss was significantly associated with a greater reduction in BP. The most significant BP reduction was associated with dual (SBP 5.1 mmHg; DBP 1.8 mmHg) and triple (SBP 6.6 mmHg; DBP 2.1 mmHg) receptor agonists. All-cause mortality was reduced by 18% (RR 0.82, 95% CI 0.76-0.90). Incretin-based therapy did not increase the risk of hypoglycaemia (RR 1.05, 95% CI 0.83-1.33) or pancreatitis (RR 0.84, 95% CI 0.61-1.15). CONCLUSION: Incretin-based therapy led to a modest but clinically meaningful BP reduction and lower all-cause mortality in adults with overweight or obesity, without excess in hypoglycaemia or pancreatitis episodes. There was a significant association between weight loss and the reduction in SBP and DBP. Dual and triple agonists exhibited the most pronounced antihypertensive effect. These findings support the use of incretin-based therapies as part of an integrated and multidisciplinary approach to managing obesity and hypertension, with multiple agonists showing particular promise. Our findings also underscore the need for long-term RCTs to clarify weight-independent mechanisms and the durability effect of BP reduction.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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) | 0.000 | 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".