Effects of sotagliflozin on anaemia in patients with type 2 diabetes and chronic kidney disease stages 3 and 4
Bibliographic record
Abstract
BACKGROUNDAnaemia is frequent in diabetes and advanced chronic kidney disease (CKD).It is associated with adverse cardiovascular (CV) and kidney outcomes, while contributing to increased symptom burden.However, management can be challenging, especially considering mixed results with erythropoietin stimulating agents (ESA).ESAs, and more recently hypoxia-inducible factor prolyl hydroxylase inhibitors (HIF PHI), are also associated with CV risk. 1 Sodium-glucose cotransporter (SGLT) inhibitors consistently increase haemoglobin through multiple mechanisms while improving cardiorenal outcomes.2,3 The objective of our analysis was to examine the effects of sotagliflozin, a dual SGLT1 and SGLT2 inhibitor, on haemoglobin in patients with type 2 diabetes (T2D) and CKD stages 3 and 4, with and without anaemia.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.011 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".