The Effect of Cinacalcet on Calcific Uremic Arteriolopathy Events in Patients Receiving Hemodialysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Uncontrolled secondary hyperparathyroidism (sHPT) in patients with ESRD is a risk factor for calcific uremic arteriolopathy (CUA; calciphylaxis). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Adverse event reports collected during the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events trial were used to determine the frequency of CUA in patients receiving hemodialysis who had moderate to severe sHPT, as well as the effects of cinacalcet versus placebo. CUA events were collected while patients were receiving the study drug. RESULTS: Among the 3861 trial patients who received at least one dose of the study drug, 18 patients randomly assigned to placebo and six assigned to cinacalcet developed CUA (unadjusted relative hazard, 0.31; 95% confidence interval [95% CI], 0.13 to 0.79; P=0.014). Corresponding cumulative event rates (95% CI) at year 4 were 0.011% (0.006% to 0.018%) and 0.005% (0.002% to 0.010%). By multivariable analysis, other factors associated with CUA included female sex, higher body mass index, higher diastolic BP, and history of dyslipidemia or parathyroidectomy. Median (10%, 90% percentile) plasma parathyroid hormone concentrations proximal to the report of CUA were 796 (225, 2093) pg/ml and 410 (71, 4957) pg/ml in patients randomly assigned to placebo and cinacalcet, respectively. Active use of vitamin K antagonists was recorded in 11 of 24 patients with CUA, nine randomly assigned to placebo, and two to cinacalcet, in contrast to 5%-7% at any one time point in patients in whom CUA was not reported. CONCLUSION: Cinacalcet appeared to reduce the incidence of CUA in hemodialysis recipients who have moderate to severe sHPT.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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".