Comparative efficacy of once-weekly semaglutide versus SGLT-2 inhibitors in patients inadequately controlled with one to two oral antidiabetic drugs: a systematic literature review and network meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To determine the comparative efficacy of once-weekly semaglutide relative to sodium-glucose cotransporter 2 inhibitors (SGLT-2is) licensed in Europe and North America among patients with type 2 diabetes (T2D) inadequately controlled with 1-2 oral antidiabetics (OADs), using a network meta-analysis (NMA). Design systematic review and network meta-analysis. Data Sources EMBASE, MEDLINE and CENTRAL were searched from January 1994 to August 2017. METHODS: Randomised controlled trials with ≥20 weeks of treatment evaluating once-weekly semaglutide or SGLT-2is. Primary outcomes included change from baseline in: HbA1c, weight, systolic blood pressure, postprandial blood glucose and fasting plasma glucose. Fixed-effect and random-effect Bayesian NMA were used to indirectly compare treatment effects at 26 (±4) weeks. Metaregression and sensitivity analyses were conducted. Model selection was performed using the deviance information criterion and consistency was assessed by comparing indirect (edge-splitting) to direct evidence. RESULTS: Forty-eight publications representing 21 trials were included. The mean differences (MD) in change from baseline in HbA1c of once-weekly semaglutide 1.0 mg versus SGLT-2is ranged from -0.56% for canagliflozin 300 mg (95% credible interval (CrI): -0.76 to -0.33%), to -0.95% for dapagliflozin 5 mg (95% CrI: -1.20 to -0.69%). The MD in change from baseline in weight of once-weekly semaglutide 1.0 mg versus SGLT-2is ranged from -1.35 kg for canagliflozin 300 mg to -2.48 kg for dapagliflozin 5 mg, while change from baseline in fasting plasma glucose ranged from -0.41 mmol/L for canagliflozin 300 mg to -1.37 mmol/L for dapagliflozin 5 mg. Once-weekly semaglutide was not statistically differentiable than all SGLT-2is in reducing systolic blood pressure. NMA was not feasible for postprandial blood glucose and safety outcomes. CONCLUSION: Once-weekly semaglutide demonstrated statistically significant and clinically meaningful reductions in HbA1c and body weight in T2D patients inadequately controlled with 1-2 OADs compared to all SGLT-2is licensed in Europe and North America.
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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 | 0.021 | 0.045 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.024 | 0.037 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 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".