Use of Canagliflozin in Kidney Transplant Recipients for the Treatment of Type 2 Diabetes: A Case Series
Bibliographic record
Abstract
Diabetes is highly prevalent in kidney transplant recipients (KTR). Simultaneous pancreas-kidney transplant recipients (SPKTR) are also at risk for developing type 2 diabetes following transplantation, when insulin secretion may be insufficient to maintain normoglycemia. Transplant-specific risk factors associated with the development of type 2 diabetes include the use of diabetogenic immunosuppressive medications, hypomagnesemia, and posttransplant weight gain (1). In nontransplant populations with type 2 diabetes and established cardiovascular (CV) disease, the use of sodium–glucose cotransporter 2 inhibitors (SGLT2i) can improve glycemic control, promote weight loss, and reduce the risk of CV events (2). Given the increased incidence of posttransplant diabetes and the high CV burden in transplant recipients, the use of SGLT2i in this population is attractive. Of concern, however, is the lack of safety data regarding SGLT2i in transplant recipients. The purpose of this study is to describe our short-term experience of KTR and SPKTR treated with canagliflozin at our institutions. All adult KTR or SPKTR …
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".