A consensus statement on the management of vertebral fractures in CKD stages G4–G5D
Bibliographic record
Abstract
Skeletal fragility has long been overlooked by the nephrology community despite patients with chronic kidney disease (CKD) facing double the risk of hip fracture compared with the general population. Consequently, the term CKD-associated osteoporosis was recently coined to increase awareness. In this context, vertebral fractures are even less studied. Vertebral fractures predict increased fracture risk, and especially in advanced CKD, show a strong association with aortic and iliac vascular calcifications and cardiovascular events such as myocardial infarction. The scope of the present consensus paper is to comprehensively discuss the management of skeletal fragility in CKD patients, from diagnosis to treatment, with a particular focus on vertebral fractures in CKD G4-G5D.
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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 | 0.031 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".