Safety and efficacy of dipeptidyl peptidase-4 inhibitors vs sulfonylurea in metformin-based combination therapy for type 2 diabetes mellitus: Systematic review and meta-analysis
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to compare the safety and efficacy of DPP-4 inhibitors versus sulfonylurea as adjunctive second-line therapy in patients with type 2 diabetes mellitus, inadequately controlled with metformin mono-therapy. SOURCES: A systematic review of published randomized controlled trials (RCTs) was performed in MEDLINE, EMBASE, PubMed and Cochrane library. Two reviewers independently selected the studies, extracted the data and assessed the risk of bias. Clinical outcomes were cardiovascular events, HbA1c % change from baseline, body weight and hypoglycemic event rate. A direct comparison meta-analysis using a random effect model was conducted to calculate mean differences in treatment effects and risk ratio between DPP-4 inhibitors and sulfonylurea. PRINCIPLE FINDINGS: Ten RCTs on adult patients with type 2 diabetes and inadequate glycemic control were included in the final analysis. DPP-4 inhibitors compared to sulfonylureas produced a non-significant difference in HbA1c% change in 10,139 subjects, whereas a significant decrease in the rate of hypoglycemic events was observed in favor of DPP-4 inhibitors (RR= 0.12; P<0.00001) involving 10,616 patients, with at least one hypoglycemic event during the follow-up period (12-104 weeks). Body weight decreased by 2.2 kg (95% CI 1.7-2.7) with DPP-4 inhibitors, compared with sulfonylureas. There were insufficient data to assess a difference in the risk for cardiovascular events. CONCLUSION: The review shows that, in terms of clinical efficacy, there is no significant difference between DPP4-inhibitors and sulfonylurea when either is added to metformin mono-therapy. In contrast, the safety assessment analysis showed a significant decrease in the risk of hypoglycemic events in patients using DPP4-inhibitors.
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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 | 0.016 | 0.029 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.040 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 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".