Clinical Outcomes and Cost-effectiveness of Primary Prophylaxis of Febrile Neutropenia During Adjuvant Docetaxel and Cyclophosphamide Chemotherapy for Breast Cancer
Bibliographic record
Abstract
Docetaxel and cyclophosphamide (TC) is a widely used breast cancer adjuvant regimen. We sought to compare the rates of febrile neutropenia (FN) between patients receiving no primary prophylaxis (PP) and those receiving PP with either granulocyte-colony stimulating factor (G-CSF) or antibiotics. We also analyzed cost-effectiveness of TC with and without either G-CSF or antibiotics. Charts were reviewed of all 340 patients who received adjuvant TC between January 2008 and December 2012 at two major cancer centers. Rates of FN in the three groups - no PP, PP with G-CSF and PP with antibiotics were compared. A Markov model was constructed comparing cost-effectiveness of PP with G-CSF, PP with antibiotics, and secondary prophylaxis (SP) with G-CSF after an episode of FN in a previous cycle. Costs were based on actual resource utilization and supplemented by the published literature, adjusted to 2012 Canadian dollars. Of the 73 (21%) patients who did not receive any PP, 23 (32%) of patients developed FN. Of the 192 (57%) patients receiving PP with G-CSF alone, only two (1%; p < 0.0001) developed FN; and of the 53 (16%) receiving PP with antibiotics alone, six (11%; p < 0.01) developed FN. From a cost-standpoint, PP with G-CSF was less cost-effective than PP with antibiotics. The rate of FN with TC chemotherapy exceeds 30%, and American Society of Clinical Oncology guidelines recommend PP with G-CSF in this situation. PP with antibiotics is more cost-effective, and is a reasonable option in resource-limited settings or for patients who decline or do not tolerate G-CSF.
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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 | 0.001 | 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) | 0.000 | 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 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".