Safety and Efficacy of Incretin-Based Therapies in Patients With Type 2 Diabetes Mellitus and CKD: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background The pharmacokinetics and pharmacodynamics of antidiabetic therapies for patients with type 2 diabetes are often altered in the context of chronic kidney disease (CKD). Study Design Systematic review and meta-analysis. Setting & Population Patients with type 2 diabetes and CKD. Selection Criteria for Studies 2 reviewers independently screened studies identified through bibliographic databases (Cochrane Library, PubMed, Embase, International Pharmaceutical Abstracts), clinical trial registries, and references from pertinent articles and clinical practice guidelines. Eligible studies included randomized controlled trials evaluating incretin-based therapy in adults with type 2 diabetes and estimated glomerular filtration rates < 60mL/min/1.73m 2 . Interventions Incretin-based therapies (dipeptidyl peptidase 4 inhibitors and glucagon-like peptide 1 receptor agonists) compared to placebo or active antidiabetic therapies. Outcomes Changes in glycated hemoglobin (HbA 1c ), hypoglycemia, mortality, change in fasting plasma glucose, cardiovascular events, and end-stage renal disease. Results Of 1,619 nonduplicate records screened, 13 studies were included. Compared to placebo, incretin-based therapies significantly reduced HbA 1c levels (n = 9; weighted mean difference, −0.64; 95% CI, −0.79 to −0.48; I 2 = 43%); however, compared with active comparators, they did not (n = 4; weighted mean difference, −0.07; 95% CI, −0.25 to 0.12; I 2 = 38%). Incretin-based therapies significantly increased the risk for hypoglycemia compared to placebo (n = 7; relative risk [RR], 1.38; 95% CI, 1.01-1.89; I 2 = 0%) but no effect was observed versus active comparators (n = 4; RR, 0.24; 95% CI, 0.03-1.94; I 2 = 52%). Limited evidence exists for all-cause mortality (placebo: n = 7 [RR, 1.21; 95% CI, 0.64-2.29; I 2 = 0%]; active comparators: n = 3 [RR, 0.70; 95% CI, 0.32-1.54; I 2 = 0%]). Limitations Variation among interventions, small number of studies, heterogeneity between studies, and high risk for attrition bias in 7 of the selected studies. Conclusions In patients with moderate or severe CKD, incretin-based therapies are effective in reducing HbA 1c levels. Hypoglycemic events are rare, and wide CIs for the association preclude any definitive conclusions. Likewise, wide CIs were observed for mortality, cardiovascular events, and end-stage renal disease.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.030 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".