Darbepoetin Alfa Effectively Treats Anemia in Patients with Chronic Kidney Disease with de novo Every-Other-Week Administration
Bibliographic record
Abstract
AIM: This multicenter, open-label study determined safety and efficacy of once-every-other-week administration of darbepoetin alfa for anemia of chronic kidney disease in erythropoietin-naive patients not on dialysis. METHODS: Participants with hemoglobin levels <11.0 g/dl at baseline were administered darbepoetin alfa at an initial dosage of 0.75 microg/kg once every other week. The dose was titrated to achieve and maintain a hemoglobin response, defined as a hemoglobin range of between 11.0 and 13.0 g/dl for up to 24 weeks. The primary end point was the dose of darbepoetin alfa at initial hemoglobin response. RESULTS: Six hundred and eight patients were enrolled, and 463 completed the study; 95% (95% confidence interval: 0.93, 0.97) of the patients who completed treatment achieved a hemoglobin response. The mean darbepoetin alfa dose at the time of response was 63.5 +/- (SD) 16.9 microg, and the mean time to hemoglobin response was 5.7 +/- (SD) 4.5 weeks. Oral iron therapy was administered to 60% and intravenous iron to 16% of the participants. Darbepoetin alfa was well tolerated, and adverse events were consistent with those expected in patients with chronic kidney disease. CONCLUSION: Darbepoetin alfa administered once every other week is effective and safe for achieving and maintaining target hemoglobin levels in anemic patients with chronic kidney disease.
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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 | 0.000 | 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".