Sodium–glucose cotransporter 2 inhibitors compared with other glucose‐lowering drugs in Japan: Subanalyses of the CVD‐REAL 2 Study
Bibliographic record
Abstract
There are limited data on cardiovascular efficacy and safety of type 2 diabetes therapies in Japan, where treatments are characterized by lower metformin use and higher dipeptidyl peptidase-4 inhibitor (DPP4i) use versus other countries. We investigated the cardiovascular outcomes in Japanese patients with type 2 diabetes initiating sodium-glucose cotransporter 2 inhibitors (SGLT2i) matched 1:1 to patients initiating other glucose-lowering drugs (33,890 patients/group) or DPP4i (9,876 patients/group). SGLT2i initiation was associated with lower risks (hazard ratio of in-hospital death [death] 0.56, 95% confidence interval [CI] 0.47-0.67; hospitalization for heart failure 0.75, 95% CI 0.64-0.89; composite of hospitalization for heart failure or death 0.65, 95% CI 0.58-0.74 and stroke 0.66, 95% CI 0.52-0.84 versus other glucose-lowering drugs and lower risks of death 0.52, 95% CI 0.36-0.73) and composite of hospitalization for heart failure or death (0.65, 95% CI 0.51-0.83) versus DPP4i. In conclusion, SGLT2i initiators had lower risks of cardiovascular events versus other glucose-lowering drug initiators and, uniquely, versus DPP4i initiators in Japanese real-world practice.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".