Efficacy and safety of dual add‐on therapy with dapagliflozin plus saxagliptin versus glimepiride in patients with poorly controlled type 2 diabetes on a stable dose of metformin: Results from a 52‐week, randomized, active‐controlled trial
Bibliographic record
Abstract
AIMS: To evaluate the efficacy and safety of dapagliflozin (DAPA) + saxagliptin (SAXA) compared with glimepiride (GLIM) in patients with type 2 diabetes who were inadequately controlled [glycated haemoglobin (HbA1c) 7.5-10.5% (58-91 mmol/mol)] on metformin monotherapy. MATERIALS AND METHODS: This 52-week, multicentre, double-blind, active-controlled study (NCT02419612) randomized (1:1) patients on metformin to add-on DAPA 10 mg + SAXA 5 mg (n = 227) or GLIM 1-6 mg (titrated; n = 217). The primary efficacy endpoint was change in HbA1c from baseline to week 52. RESULTS: Baseline mean ± standard deviation of age, duration of diabetes and HbA1c were 56.1 ± 9.7 years, 7.8 ± 6.4 years and 8.5% ± 0.8% (69 ± 9.0 mmol/mol), respectively. Adjusted mean change from baseline in HbA1c was -1.35% (-14.8 mmol/mol) with DAPA + SAXA versus -0.98% (-10.7 mmol/mol) with GLIM (P <0.001). Changes from baseline in body weight and systolic blood pressure were -3.1 kg and -2.6 mmHg with DAPA + SAXA versus +1.0 kg (P <0.001) and +1.0 mmHg (P = 0.007) with GLIM. More patients achieved HbA1c <7.0% (53 mmol/mol) (44.3% vs. 34.3%; P = 0.044), and fewer patients required treatment intensification (1.3% vs. 8.8%; P = 0.002) with DAPA + SAXA than with GLIM. CONCLUSIONS: Compared with GLIM, concurrent addition of DAPA + SAXA significantly improved glycaemic control, body weight and other metabolic parameters in patients inadequately controlled on metformin. Trial: NCT02419612, ClinicalTrials.gov.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".