Bibliographic record
Abstract
The primary goal of treatment for post-menopausal osteoporosis (PMO) is reduction in fracture risk. Therefore, bisphosphonates (BF) are the most commonly used drugs for the treatment of osteoporosis. Because of their urinary elimination, bisphosphonates must be carefully administered in chronic kidney disease (CKD) patients. Renal toxicity seems different among these compounds, and it is basically due to their protein binding and the average lifespan of renal tissues. In practice, renal toxicity has been associated with infusion speed and excessive dosage. Treatment decisions are more difficult with stage 4 and especially stage 5 CKD who had fragility fractures. In spite of this, bisphosphonates can safely be used at stage to 1 - 3 CKD stages, haemodialysis and after the kidney transplant. When bisphosphonates are given stage 4 CKD patients it seems reasonable to reduce the dose to 50%. There are few data on the efficacy (reduction in fracture risk) or safety of any BF in patients with stage 5 CKD. doi:10.4021/wjnu5e
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 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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".