Neutropenic complications with neo/adjuvant adriamycin and cyclophosphamide in early stage breast cancer patients: A prospective study at the McGill University health center.
Bibliographic record
Abstract
e12127 Background: We prospectively investigated the incidence of neutropenic complications (NC) with neo/adjuvant AC (doxorubicin and cyclophosphamide) chemotherapy (CTX) among early-stage breast cancer (ESBC) patients. NC was defined as febrile neutropenia (FN), dose delay/reduction or need of granulocyte colony-stimulating factors (G-CSF) to proceed with CTX. Methods: This was a single-center, observational, prospective cohort study conducted at the McGill University Health Center. All ESBC patients who received AC regimen as neo/adjuvant CTX between February 2016 and February 2017 were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) of predictors of NC were estimated using Cox-proportional hazards models. Results: A total of 118 patients, corresponding to 409 cycles of AC were analyzed. Most patients underwent Q3week cycles (83.1%). Median age was 52 years old (IQR 43-61). Prophylactic G-CSF was given to 20 dose-dense patients and 10 Q3weeks patients. In patients not receiving prophylactic G-CSF, 57 (65.5%) manifested at least one episode of NC (corresponding to an incidence rate of 26.4%/cycle of CTX [95% CI: 20.0%-34.2%]), of which 9 developed FN requiring hospital admission. In the final prediction model, body mass index < 25 kg/m 2 (HR: 2.36, 95% CI: 1.16-4.78) and increasing glucose levels (HR: 1.56, 95% CI: 1.14-2.14) were significantly associated with NC. Baseline absolute neutrophil count (ANC) was protective. Conclusions: The incidence of NC in our prospective study is significantly higher than previously reported in retrospective studies (26.4% vs. 12%). Normal BMI and high glucose were associated with the highest risk of NC. More importantly, 65% of ESBC on AC will require G-CSF during their treatment due to a NC episode. [Table: see text]
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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 | 0.001 |
| 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".