Impact of relative dose intensity and G-CSF use in the adjuvant treatment of resected colon cancer.
Bibliographic record
Abstract
752 Background: The benefits of adjuvant chemotherapy in stage III colon cancer (CC) are well established. However, the consequences of dose delays and modifications are not well established. Relative dose intensity (RDI) and dose scheduling have been shown to have prognostic significance in a number of cancers. We examine the effect of RDI, dose intensity (DI) and dose delays on disease free survival (DFS) and overall survival (OS) in stage III CC. Furthermore, we investigate the role of G-CSF in CC and its role in preserving RDI, and its effect on outcomes. Methods: A retrospective review was conducted for patients with stage III CC seen at a Canadian academic cancer center between 2006 and 2011. Patients who received at least three cycles of FOLFOX or at least two cycles capecitabine were included in the analysis. The RDI and DI were calculated and examined for correlation with DFS and OS. The influence of G-CSF on RDI and DI was also investigated. Results: FOLFOX was used more commonly than capecitabine, 64% vs. 36%. Within the FOLFOX regimen median RDI for oxaliplatin was 76.3%, and 83.5% for 5-FU. Median capecitabine RDI was 73.8%. Median DI were similar at 75.4%, 86.5%, and 69.1%, respectively. 60% of patients receiving FOLFOX got over 80% of their intended dose, while only 29% of patients receiving capecitabine achieved this DI. 3-year DFS was higher when RDI or DI was > 80%, compared to ≤ 80%, for each chemotherapeutic, however the differences did not reach significance. 3-year OS trended towards being higher in patients with an RDI and DI > than 80%, however there were limited events in these groups. Over half of patients on FOLFOX experienced a dose delay, 56.9%, most of whom then received G-CSF, 64.9%. Patients who received G-CSF had a higher DI than those who did not, 74.9% and 87.4% versus 66.5% and 76.8%, for the oxaliplatin and 5-FU components, respectively. 3-year DFS and OS was higher in patients who received G-CSF versus those who did not, 78.3% and 97.5% vs. 69.8% and 91.5%, respectively. Conclusions: In patients with stage III colon cancer an RDI or DI is associated with improved 3-year DFS and OS, although the difference did not reach significance in our review. G-CSF as secondary prophylaxis improves RDI, DI, DFS and OS.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".