Meta-Analysis of Randomized Controlled Trials of Prophylactic Granulocyte Colony-Stimulating Factor and Granulocyte-Macrophage Colony-Stimulating Factor After Autologous and Allogeneic Stem Cell Transplantation
Bibliographic record
Abstract
PURPOSE: The primary objective of our meta-analysis was to determine whether prophylactic hematopoietic colony-stimulating factors (CSFs) after hematopoietic autologous and allogeneic stem-cell transplantation (SCT) reduced documented infections. Our secondary objectives were to determine whether prophylactic CSFs affected other outcomes including parenteral antibiotic therapy duration, infection-related mortality, graft-versus-host disease (GVHD), or treatment-related mortality. METHODS: We included studies if there was random assignment between CSFs and placebo/no therapy and CSFs were given after SCT and before recovery of neutrophils. From 3,778 reviewed study articles, 34 were included based on predefined inclusion criteria. All analyses were conducted using a random effects model. RESULTS: CSFs reduced the risk of documented infections (relative risk [RR] 0.87; 95% CI, 0.76 to 1.00; P = .05) and duration of parenteral antibiotics (weighted mean difference, -1.39 days, 95% CI, -2.56 to -0.22; P = .02) but did not reduce infection-related mortality (RR, 0.76; 95% CI, 0.41 to 1.44; P = .4). CSFs did not increase grade 2 to 4 acute GVHD (RR, 1.03; 95% CI, 0.81 to 1.31; P = .8) or treatment-related mortality (RR, 1.00; 95% CI, 0.78 to 1.29; P = .98). CONCLUSION: CSFs were associated with a small reduction in the risk of documented infections but did not affect infection or treatment-related mortality.
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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 | 0.016 | 0.044 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.023 | 0.052 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".