Real-World Impact of Granulocyte-Colony Stimulating Factor on Febrile Neutropenia
Bibliographic record
Abstract
BACKGROUND: Primary prophylaxis with granulocyte colony-stimulating factors (pp-g-csf) is recommended in patients undergoing chemotherapy carrying a febrile neutropenia (fn) risk of 20% or more. In the present study, we examined clinical practice patterns and the impact of pp-g-csf on fn incidence in women with early-stage breast cancer (ebc) treated with modern adjuvant chemotherapy (act). METHODS: This single-centre retrospective cohort study of women with ebc, who were identified from the pharmacy database and who received at least 1 cycle of modern act from January 2009 to December 2011, was conducted at the Cancer Centre of Southeastern Ontario. Data on patient demographics, pathology, stage distribution, chemotherapy, pp-g-csf use, dose reductions, chemotherapy delays, treatment discontinuation, relative dose intensity, and fn events were collected. Chi-square tests, t-tests, univariate and multivariate logistic regression analyses, and nonparametric Mann-Whitney U-tests were used for data analysis. RESULTS: Of the 239 women eligible for analysis, 145 (61%) received pp-g-csf, and 50 (21%) developed at least 1 episode of fn. Use of pp-g-csf was associated with a significantly lower rate of fn (14% vs. 31%, p = 0.002) and trends to fewer dose delays (17% vs. 27%, p = 0.060) and dose reductions (19% vs. 25%, p = 0.28). Among women receiving pp-g-csf, higher fn rates were associated with an age of 65 years or older, taxane-based chemotherapy, and prophylaxis with filgrastim. CONCLUSIONS: Clinical practice patterns at our institution showed that more than 50% of ebc patients treated with modern act received pp-g-csf, which led to fewer fn episodes and increased delivery of planned act. The observed high fn risk despite pp-g-csf was linked to older age, taxane-based chemotherapy, and filgrastim.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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 teacher head, 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".