The opposing actions of the two parathyroid hormones, 1‐84 PTH and 7‐84 PTH: Improvement in renal bone and calcium metabolism management
Bibliographic record
Abstract
Bone biopsy, while invasive, is the gold standard for assessing bone status. According to published bone biopsy studies, half of the end-stage renal disease patients have adynamic bone disease. Compared to high-bone-turnover disease, adynamic bone disease has the higher mortality and is associated with arterial calcification. The treatment for high-bone-turnover disease is divergent from the treatment for adynamic bone disease. The parathyroid hormone (PTH) assay has been relied on as the routine, noninvasive diagnostic method to assess bone status. According to bone biopsy studies, the intact PTH assay has been demonstrated as ineffective at differentiating adynamic bone disease from normal and high-bone-turnover disease. For example, bone biopsy studies found the normal range for iPTH to be 451 to 1339 pg/mL and the range for adynamic bone disease to be 400 to 919 pg/mL. Intact PTH measures the sum of the two PTH hormones 1-84 PTH and 7-84 PTH. Specific 1-84 PTH assays neglect the role of the 7-84 PTH hormone, which is to lower bone turnover. According to independent bone biopsy studies, the 1-84 PTH/7-84 PTH ratio is 94% accurate in identifying adynamic bone disease and 94% accurate in assessing bone-turnover status.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".