Plerixafor for Autologous Stem-Cell Mobilization and Transplantation for Patients in Ontario
Bibliographic record
Abstract
BACKGROUND: High-dose chemotherapy with autologous stem-cell transplantation (asct) is an accepted part of standard therapy for patients with hematologic malignancies. Usually, stem-cell mobilization uses granulocyte colony-stimulating factor (g-csf); however, some patients are not able to be mobilized with chemotherapy and g-csf, and such patients could be at higher risk of failing mobilization. Plerixafor is a novel mobilization agent that is absorbed quickly after subcutaneous injection and, at the recommended dose of 0.24 mg/kg, provides a sustained increase in circulating CD34+ cells for 10-18 hours. The main purpose of the present report was to evaluate the most current evidence on the efficacy of plerixafor in enhancing hematopoietic stem-cell mobilization and collection before asct for patients in Ontario so as to make recommendations for clinical practice and to assist Cancer Care Ontario in decision-making with respect to this intervention. METHODS: The medline and embase databases were systematically searched for evidence from January 1996 to March 2015, and the best available evidence was used to draft recommendations relevant to the efficacy of plerixafor in enhancing hematopoietic stem-cell mobilization and collection before asct. Final approval of this practice guideline report was obtained from both the Stem Cell Transplant Steering Committee and the Report Approval Panel of the Program in Evidence-Based Care. RECOMMENDATIONS: These recommendations apply to adult patients considered for asct: ■ Adding plerixafor to g-csf is an option for initial mobilization in patients with non-Hodgkin lymphoma or multiple myeloma who are eligible for asct when chemotherapy cannot be used and only g-csf mobilization is available.■ For patients with a low peripheral blood CD34+ cell count (for example, <10/μL) at the time of anticipated stem-cell harvesting, or with an inadequate first-day apheresis collection, it is recommended that plerixafor be added to the mobilization regimen to maximize stem-cell collection and to prevent the need for remobilization.■ It is recommended that patients who have failed a previous mobilization attempt undergo remobilization with g-csf and plerixafor, with or without chemotherapy.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".