Efficacy and safety of Cinacalcet on secondary hyperparathyroidism in Chinese chronic kidney disease patients receiving hemodialysis
Bibliographic record
Abstract
Introduction Secondary hyperparathyroidism (SHPT) develops in patients with chronic renal failure. Cinacalcet hydrochloride has been used successfully in U.S., Europe, and Japan in the treatment of SHPT, while maintaining serum levels of calcium and phosphorus. The efficacy and safety profile of Cinacalcet treatment vs. conventional treatments has been of great interest in clinical practice. In this recent phase III study conducted in China, efficacy and safety of a calcimimetic agent, Cinacalcet (Kyowa Hakko Kirin Co., Ltd.), were assessed for SHPT treatment in stable chronic renal disease patients on hemodialysis. Methods In this double-blind, multicenter, placebo-controlled, randomized phase III study, 238 subjects were enrolled in 12 centers and randomly divided into a Cinacalcet group and a placebo group. The percentage of patients achieving a serum parathyroid hormone (PTH) level ≤250 pg/mL was the primary efficacy end point. Serum calcium and phosphorus levels were measured. Adverse events and serious adverse events were recorded, and causal analysis performed. Findings In primary analysis, 25.4% of the Cinacalcet group and 3.5% of the placebo group achieved the primary end point (PTH ≤250 pg/mL). Calcium and phosphorus levels and calcium-phosphorus product were lower in the Cinacalcet group compared with the placebo group. Eleven serious adverse events were reported and considered to be not related to study drugs. Mild to moderate hypocalcemia and reduced calcium levels were reported and considered to be Cinacalcet related. Discussion This phase III study demonstrated that Cinacalcet is effective and well tolerated in treating SHPT in Chinese chronic kidney disease patients on hemodialysis, and in a patient population with much higher baseline PTH levels.
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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 | 0.001 |
| 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".