Dosing regimen and tolerability of methoxy polyethylene glycol–epoetin beta in <scp>C</scp>hinese dialysis patients
Bibliographic record
Abstract
AIM: To investigate methoxy polyethylene glycol-epoetin beta dosing regimen in treatment naïve subjects and dose conversion in darbepoetin alpha treated subjects, in Chinese dialysis patients. METHODS: Adult Chinese patients on peritoneal dialysis (PD) or haemodialysis (HD), with no prior treatment with erythropoiesis-stimulating agents and haemoglobin below 8 g/dL (Group I) or receiving darbepoetin alpha and had stable haemoglobin at 10-12 g/dL (Group II) were included in this prospective open-label study. In Group I methoxy polyethylene glycol-epoetin beta was started at 0.6 μg/kg subcutaneously fortnightly till haemoglobin reached 10 g/dL, after which it was given monthly. A dose conversion table was devised for Group II. Follow-up was 36 weeks. RESULTS: Forty-five patients were included. Haemoglobin in Group I (n=23, PD/HD:19/4) increased from 7.5 ± 0.9 g/dL at baseline to 10.7 ± 1.0 g/dL after 16 weeks, while it remained stable at 10.4 ± 1.0 g/dL after conversion in Group II (n=22, PD/HD:15/7). Actual dose required after stabilization was 1.7 μg/kg per month in Group I and 2.3 μg/kg per month in Group II. Median number of dose adjustment was three in Group I and one in Group II, while haemoglobin overshoot to 13 g/dL or above occurred in 4.4% and 9.1%, respectively. No significant side-effect was observed. CONCLUSIONS: Our dosing regimen for methoxy polyethylene glycol-epoetin beta, for treatment naïve subjects or for conversion from darbepoetin alpha, is safe and effective. The dose required to achieve a haemoglobin concentration of 10-11 g/dL in Chinese dialysis patients is approximately 2 μg/kg monthly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 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".