A Primary Care Guide to the Screening and Pharmacologic Management of Chronic Kidney Disease in People Living With Type 2 Diabetes
Bibliographic record
Abstract
This paper reports the expert opinions and recommendations made by primary care physicians (PCPs) to optimize screening and management of chronic kidney disease (CKD) associated with diabetes and presents algorithms to provide a practical and simplified guide for PCPs. Individuals living with type 2 diabetes (T2D) should be screened early and at regular intervals for CKD using both estimated glomerular filtration rate and urinary albumin-to-creatinine ratio testing. The risk of CKD assessed using the Kidney Disease: Improving Global Outcomes heatmap should be reviewed at least annually to optimize treatment to slow progression of CKD. Lifestyle modifications form the foundation of reducing CKD risk in individuals with T2D. A pillared approach to pharmacotherapy (renin-angiotensin system inhibitors, sodium-glucose cotransporter 2 inhibitors, a nonsteroidal mineralocorticoid receptor antagonist [finerenone], and glucagon-like peptide 1 receptor agonists) is recommended in individuals with CKD and T2D. Video 1.Video abstractaf663925-01ab-4645-a362-a879f9639a89cd250013video1.
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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 | 0.000 | 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) | 0.000 | 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 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".