Effects of Canagliflozin on Serum Magnesium in Patients With Type 2 Diabetes Mellitus: A Post Hoc Analysis of Randomized Controlled Trials
Bibliographic record
Abstract
INTRODUCTION: The objective of this study was to evaluate the effects of canagliflozin, a sodium glucose co-transporter 2 inhibitor, on serum magnesium in hypomagnesemic patients with type 2 diabetes. METHODS: This post hoc analysis was based on pooled data from four placebo-controlled studies of canagliflozin (N = 2313). The proportion of patients with baseline serum magnesium <0.74 mmol/L who achieved serum magnesium ≥0.74 mmol/L at week 26 was evaluated. RESULTS: At week 26, canagliflozin 100 and 300 mg increased serum magnesium versus placebo in patients with baseline serum magnesium <0.74 mmol/L (17.0% and 19.0% vs 3.9%) and ≥0.74 mmol/L (4.9% and 7.0% vs -1.4%). More patients with baseline serum magnesium <0.74 mmol/L had serum magnesium ≥0.74 mmol/L at week 26 with canagliflozin 100 and 300 mg versus placebo (74.1% and 80.6% vs 28.8%). CONCLUSIONS: Canagliflozin was associated with normalization of serum magnesium in hypomagnesemic patients with type 2 diabetes, potentially leading to improved cardiometabolic outcomes. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifiers, NCT01081834, NCT01106677, NCT01106625, NCT01106690.
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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 | 0.029 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.014 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".