Systematic Review of Randomized Controlled Trials of Hematopoietic Stem Cell Mobilization Strategies for Autologous Transplantation for Hematologic Malignancies
Bibliographic record
Abstract
Collection of adequate hematopoietic stem cells (HSCs) is necessary for successful autologous transplantation; however, a proportion of patients fail to collect the minimum number of cells required. We summarized the efficacy and safety of HSC mobilization strategies. We performed a systematic review of randomized controlled trials comparing HSC mobilization strategies before autologous transplantation for hematologic malignancies. The primary outcome was CD34+ cell yield. Secondary outcomes included number of aphereses, proportion of failures, rate of count recovery, and adverse events. We identified 28 articles within 3 broad strategies. Using a cyclophosphamide with growth factor strategy (10 articles), CD34+ cell yield is improved by addition of molgramostim to cyclophosphamide (1.4 vs 0.5 × 10(6)/kg; P = .0165), addition of cyclophosphamide to filgrastim (7.2 vs 2.5 × 10(6)/kg; P = .004), and addition of ancestim to cyclophosphamide and filgrastim (12.4 vs 8.3 × 10(6)/kg; P = .007). Within a growth factor-based strategy (6 articles), addition of plerixafor improves CD34+ cell yield over filgrastim alone in multiple myeloma (MM; 11.0 vs 6.2 × 10(6)/kg; P < .001) and non-Hodgkin lymphoma (5.69 vs 1.98 × 10(6)/kg; P < .01). With combination or noncyclophosphamide-based chemotherapy (12 articles), higher-dose filgrastim (8.2 vs 4.7 × 10(6)/kg for 16 vs 8/mcg/kg daily of filgrastim, respectively; P < .0001) and addition of rituximab to etoposide and filgrastim (9.9 vs 5.6 × 10(6)/kg; P = .021) improve CD34+ cell yield. Growth factor alone after chemotherapy, ancestim, or plerixafor provide adequate autologous HSC grafts for the majority of patients. Although some strategies result in higher CD34+ cell yield, this potentially comes at the expense of increased toxicity. As all strategies are reasonable, programmatic, and patient-specific considerations must inform the approach to autologous graft mobilization.
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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".