Efficacy of cinacalcet with low-dose vitamin D in incident haemodialysis subjects with secondary hyperparathyroidism
Bibliographic record
Abstract
BACKGROUND: Treatment with cinacalcet improves the control of secondary hyperparathyroidism (SHPT) and the achievement of calcium and phosphorus targets. Most data come from subjects receiving cinacalcet after several years of dialysis treatment. We therefore compared the efficacy of treatment with cinacalcet and low doses of active vitamin D to flexible doses of active vitamin D alone for the management of SHPT in patients recently initiating haemodialysis. METHODS: This open-label trial randomized subjects (n = 309) with parathyroid hormone (PTH) >300 pg/mL on dialysis for 3-12 months to either cinacalcet with low-dose active vitamin D, if prescribed (cinacalcet); or usual care without cinacalcet (control). Randomized subjects were stratified by PTH at screening (300-450, >450-600, >600 pg/mL) and by the use of active vitamin D at enrolment. Treatment duration was 12 months, with primary efficacy endpoint (mean PTH reduction ≥ 30% from baseline) assessed at 6 months. RESULTS: The mean [standard deviation (SD)] haemodialysis vintage at enrolment was 7.2 (2.7) months; 53% of subjects were not receiving active vitamin D at enrolment. There was a significant difference in the achievement of the primary endpoint (≥ 30% PTH reduction at 6 months) between cinacalcet-treated subjects and controls in both the entire cohort (63 versus 38%; n = 304; P < 0.0001) and the subgroup of subjects not receiving active vitamin D at enrolment (70 versus 44%; n = 161; P < 0.01). Hypocalcaemia and gastrointestinal adverse events were more commonly observed in cinacalcet-treated subjects. CONCLUSIONS: These results indicate that cinacalcet with low-dose active vitamin D, if prescribed, provides a more effective treatment approach than usual care without cinacalcet for SHPT in incident haemodialysis patients, even in relatively treatment-naive patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".