C.E.R.A. Maintains Stable Control of Hemoglobin in Patients with Chronic Kidney Disease on Dialysis when Administered Once Every Two Weeks
Bibliographic record
Abstract
BACKGROUND/AIMS: This Phase III study examined the efficacy and safety of C.E.R.A., a continuous erythropoietin receptor activator, given once every 2 weeks (Q2W) via subcutaneous or intravenous injection using pre-filled syringes, for maintaining hemoglobin (Hb) levels in patients with chronic kidney disease (CKD) on dialysis who converted directly from epoetin therapy. METHODS: Patients (n = 336) were randomized 1:1 to continue epoetin at their current dose, route and administration interval (once to three times weekly (QW-TIW)), or receive C.E.R.A. Q2W by the same route as previous epoetin treatment for 36 weeks. Dosage was adjusted to maintain patients' Hb within +/-1.0 g/dl of baseline value and within 10.0-13.5 g/dl. Primary endpoint was mean change in Hb between baseline and the evaluation period (weeks 29-36). RESULTS: Mean change in Hb for C.E.R.A. and epoetin was 0.088 and -0.030 g/dl, respectively (endpoint Hb 11.93 and 11.86 g/dl, respectively). Analysis showed that C.E.R.A. was as effective as epoetin in maintaining Hb (p < 0.0001), and was well tolerated. The administration route had no impact on primary endpoint. CONCLUSION: Q2W C.E.R.A. administered using pre-filled syringes effectively maintains stable control of Hb in patients on dialysis who convert directly from epoetin QW-TIW.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".