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
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.064 | 0.017 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it