RETRACTED: Cardiovascular and mortality outcomes of DPP-4 inhibitors vs. sulfonylureas as metformin add-on therapy in patients with type 2 diabetes: A systematic review and meta-analysis
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes significantly increase the risk of cardiovascular disease and mortality. This systematic review and meta-analysis compared cardiovascular and mortality outcomes in type 2 diabetes patients receiving dipeptidyl peptidase-4 inhibitors (DPP-4is) plus metformin versus sulfonylureas (SUs) plus metformin as add-on therapy. METHODS: PubMed, Web of Science, Cochrane Central Register of Controlled Trials, Embase, Google Scholar, and Scopus were searched through January 1, 2025, for studies comparing DPP-4is plus metformin versus SUs plus metformin in type 2 diabetes patients. Outcomes of interest were major adverse cardiovascular events and all-cause mortality. Heterogeneity was assessed using Cochran's Q test and I2 statistic. Publication bias was evaluated with Begg's and Egger's tests. Study quality was assessed with the Jadad scale (for randomized controlled trials) and the Newcastle-Ottawa Scale (for observational studies). RESULTS: Twenty-seven studies (2012-2024), encompassing 1,505,821 participants, were included in the analysis. Major adverse cardiovascular events were reported in 21 studies, and all-cause mortality data were available from 19 studies. Meta-analysis revealed a significantly lower risk of both major adverse cardiovascular events (risk ratio [RR]: 0.79; 95% confidence interval [CI]: 0.73-0.84; p < 0.001) and all-cause mortality (RR: 0.79; 95% CI: 0.71-0.88; p < 0.001) in patients with diabetes treated with DPP-4 inhibitors plus metformin compared to those treated with SUs plus metformin. No publication bias was detected. CONCLUSION: In type 2 diabetes patients treated with metformin, adding a DPP-4is is associated with significantly lower risks of major adverse cardiovascular events and all-cause mortality compared to adding an SUs. These findings underscore the potential cardiovascular benefits of DPP-4is and their role in improving patient outcomes.
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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 | 0.055 | 0.136 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.022 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".