Self‐reported symptoms in patients on hemodialysis with moderate to severe secondary hyperparathyroidism receiving combined therapy with cinacalcet and low‐dose vitamin <scp>D</scp> sterols
Bibliographic record
Abstract
Patients with secondary hyperparathyroidism experience a variety of clinical symptoms which may adversely affect physical and mental function. As part of a multicenter, open-label clinical trial, subjects completed a questionnaire that included the Medical Outcomes Study Short Form-36 and 14 kidney disease-related symptoms at multiple time points during the study. Out of the 567 subjects who received at least one dose of cinacalcet, 528 to 535 (93.8-94.4%) completed all or portions of the questionnaire at baseline. The median bioactive parathyroid hormone (PTH) was 294 pg/mL (10%, 90% range, 172-655 pg/mL). Following treatment with cinacalcet and low-dose vitamin D sterols, subjects reported significant improvement in the frequency of pain in muscles, joints and bones, stiff joints, dry skin, itchy skin, excessive thirst, and trouble with memory. At end of the efficacy assessment phase (Weeks 16 to 22), the magnitude of improvement was the greatest in joint pain, bone pain, dry skin, and excessive thirst (>5 on a 0-100 scale; P < 0.001). There were no clinically or statistically significant changes in any of the Short Form-36 subscales or in the physical or mental health composite scores. Among patients on hemodialysis with moderate to severe secondary hyperparathyroidism, treatment with cinacalcet and low-dose vitamin D sterols results in significant improvement in pain in the muscles, joints and bones, joint stiffness, dry and itchy skin, excessive thirst, and trouble with memory.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".