DCEP chemotherapy followed by a single, fixed dose of pegylated filgrastim allows adequate stem cell mobilization in multiple myeloma patients
Bibliographic record
Abstract
BACKGROUND: Pegylated filgrastim (PEG-f), a long-lasting granulocyte-colony-stimulating factor, has been used in different hematologic conditions to shorten chemotherapy-induced neutropenia and to mobilize peripheral blood stem cells. Data on mobilization efficacy in patients with multiple myeloma are, however, still limited. STUDY DESIGN AND METHODS: The feasibility and mobilizing capacity of DCEP chemotherapy followed by a single subcutaneous dose of 6 mg of PEG-f in 23 myeloma patients (11 females and 12 males) whose median age was 55 years (range, 31-67 years) were investigated. RESULTS: The median number of CD34+ cells collected was 5.72 x 10(6) per kg body weight with a range between 0 x 10(6) and 29.4 x 10(6) per kg body weight. Twenty patients (87%) yielded more than 2 x 10(6) per kg body weight CD34+ cells. Among the 22 patients who mobilized some CD34+ cells, 27 leukapheresis procedures were carried out (a single leukapheresis procedure in 17 patients and 2 leukapheresis procedures in 5). The median interval between the start of chemotherapy and the first leukapheresis procedure was 12 days (range, 11-16 days). With regard to tolerability, 7 patients complained of mild to moderate back pain, controlled with oral analgesics. No patient was hospitalized, and no fever or infections occurred. CONCLUSION: These results, compared with those previously reported for the DCEP-filgrastim combination, suggest that DCEP chemotherapy followed by PEG-f is a promising combination to mobilize peripheral blood stem cells in myeloma patients.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".