Bibliographic record
Abstract
Diabetic kidney disease (DKD) affects 40% of individuals with diabetes mellitus (T2DM) and is associated with an increased risk of cardiovascular events, hospitalization for heart failure, and premature death. Existing treatments focus on lifestyle measures, glycemic control, blood pressure and lipid management, inhibition of the renin‑angiotensin‑aldosterone system (RAAS), and the use of sodium glucose cotransporter 2 inhibitors (SGLT2-i). However, substantial residual risk of progression to end-stage kidney disease (ESKD) or cardiovascular complications remain despite optimal therapy. Finerenone, a non-steroidal mineralocorticoid antagonist (MRA), has been shown to reduce important outcomes when added to evidence-based therapies, and is approved by Health Canada as an adjunct to standard of care therapy in adults with chronic kidney disease (CKD) and T2DM to reduce the risk of ESKD and a sustained decrease in estimated glomerular filtration rate (eGFR), cardiovascular death, non-fatal myocardial infarction, and hospitalization for heart failure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".