A Community Hospital-Based Study: A Prespecified Neutrophil Count with Adjuvant mFOLFOX6 Associated with Increased Delays, Increased G-CSF Use, and Reduced Dose Intensity
Bibliographic record
Abstract
PURPOSE: To look at how the absolute neutrophil count (ANC) is used by community oncologists as the main factor in ordering adjuvant mFOLFOX6 for colorectal cancer. This study reports on how this decision impacts chemotherapy delays, effects received dose intensity (RDI), and increases the use of granulocyte-colony-stimulating factor (G-CSF). METHODS: A retrospective chart review was conducted for all patients receiving adjuvant mFOLFOX6 for colorectal cancer at a two-site community hospital in Toronto, Ontario, Canada, between July 2013 and March 2019. Seven physicians treated 140 patients, who made 1636 clinic visits to receive 1461 cycles of prescribed chemotherapy. RESULTS: /L with a decision to delay if the ANC was lower. Subsequent cycles were then supported by G-CSF with very similar ANC decision levels for dose delay. Physicians were more likely to prescribe chemotherapy with higher pretreatment ANC, r=0.3 (p<0.000). G-CSF was used in 24.6% of cycles and usage had grown to 44.2% by the 12th cycle; physician use ranged from 0.36% to 54.2% of cycles. Secondary prophylaxis was the indication in 94.7% of cases. There was an inverse relationship between the frequency of G-CSF use and the RDI of continuous infusion 5FU, r=-0.26 (p<0.001). There were delays for 8.8% of visits for cycles not supported by G-CSF and, surprisingly, 15.9% of visits for cycles supported by G-CSF. Neutropenia caused 61.6% of delays for chemotherapy cycles not supported by G-CSF and 44.1% for cycles supported by G-CSF. CONCLUSION: /L before prescribing mFOLFOX6 chemotherapy. When ANC was low, a dose delay and secondary prophylaxis with G-CSF failed to consistently achieve the much sought after ANC. This then caused more delay, reduced RDI and increased expense for both patients and the system. Fewer delays, less G-CSF and increased RDI would have resulted with reduced reliance on ANC and adoption of chemotherapy dose reduction.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".