Association between frailty and bone health in early-stage chronic kidney disease: a study from the population-based CARTaGENE cohort
Bibliographic record
Abstract
Background: Frailty is a clinical syndrome that is particularly prevalent in patients with chronic kidney disease (CKD). We aimed to assess the associations between renal function and the presence of frailty criteria and to assess the association between frailty and bone outcomes. Methods: . Frailty was defined with Fried's criteria. Bone density was estimated with quantitative ultrasound at the calcaneus measuring speed of sound (SOS) and broadband ultrasound attenuation (BUA). Time to first fracture event was assessed and analyses were conducted using logistic regressions, multiple linear regressions and Cox models. Results: < .0001). Having at least one frailty criterion was associated with a higher fracture risk (hazard ratio 1.23, 95% CI 1.07-1.42). Conclusion: In conclusion, having at least one frailty criterion was associated with a higher risk of fracture and a lower bone mineral density.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".