856-P: Cardiovascular (CV) and Kidney Outcomes with Canagliflozin (CANA) According to Type 2 Diabetes (T2D) Treatment Targets at Baseline (BL) : Data from the CANVAS Program and CREDENCE
Bibliographic record
Abstract
In T2D, treatment targets include maintaining HbA1c ≤7.0%, LDL-C <2 mmol/L (<77 mg/dL) , and BP <130/80 mmHg. It is also recommended to improve urinary albumin:creatinine ratio (UACR) , a marker of renal damage and CV risk. We examined effects of CANA vs. placebo on CV and kidney outcomes in patients with T2D and high CV risk and/or chronic kidney disease according to BL treatment targets and risk factors. Pooled data from the CANVAS Program (N=10,142) and the CREDENCE trial (N=4401) were analyzed according to treatment target achievement and by number of targets achieved at BL. Hazard ratios and 95% CIs were estimated using Cox regression models. Of 14,432 participants at BL, 3683 (26%) had achieved 0, 5851 (41%) had achieved 1, 3680 (25%) had achieved 2, and 1218 (8%) had achieved either 3 or 4 targets. At BL, 8415 (58%) participants had UACR >2 mg/mmol. CANA consistently reduced risk of MACE, HHF/CV death, and ESKD or doubling of serum creatinine vs. placebo, regardless of whether BL targets were met or if UACR was elevated (Figure) . The number of uncontrolled targets at BL did not impact the beneficial effect of CANA on CV and kidney outcomes (all P interaction >0.17) . In conclusion, CANA demonstrated consistent CV and renal benefits in patients with T2D, regardless of risk factor control. Disclosure V.C.Woo: Advisory Panel; AstraZeneca, Boehringer Ingelheim International GmbH, Lilly, Novo Nordisk, Speaker's Bureau; Janssen Pharmaceuticals, Inc. M.Tsoukas: Speaker's Bureau; AstraZeneca, Bausch Health, Canada, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Johnson & Johnson, Novo Nordisk Canada Inc. S.Tobe: Other Relationship; Bayer AG, Speaker's Bureau; AstraZeneca, Otsuka Pharmaceutical Co., Ltd. A.Slee: Consultant; Alydia Health, Elixir Medical , IHP Therapeutics , iLumen Scientific, Intuitive Surgical, Janssen Global Services, LLC, Laborie, Providence Medical, Pulse Biosciences, SonoMotion. W.Rapattoni: Employee; Janssen Pharmaceuticals, Inc. F.Ang: Employee; Bristol-Myers Squibb Company, Janssen Pharmaceuticals, Inc. J.Seufert: Advisory Panel; Abbott, Sanofi-Aventis Deutschland GmbH, Research Support; Boehringer Ingelheim International GmbH, Speaker's Bureau; Abbott Diabetes, AstraZeneca, Bayer AG, Boehringer Ingelheim International GmbH, Lilly, Novo Nordisk, Sanofi-Aventis Deutschland GmbH. D.C.Wheeler: Advisory Panel; Bayer AG, Boehringer Ingelheim International GmbH, Gilead Sciences, Inc., GlaxoSmithKline plc., Janssen Global Services, LLC, Merck Sharp & Dohme Corp., Mundipharma, Tricida, Inc., Vifor Pharma Management Ltd., Consultant; AstraZeneca, Speaker's Bureau; Amgen Inc., Astellas Pharma Inc. Funding Janssen Inc., Toronto, ON, Canada
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.009 | 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".