Rate of conversion from unresectable to resectable metastatic colorectal cancer (mCRC) in real-world patients (RWP) treated with FOLFIXIRI ± bevacizumab: A population-based retrospective cohort study.
Bibliographic record
Abstract
21 Background: Recent evidence from randomized trials suggests that FOLFOXIRI (5FU, oxaliplatin, and irinotecan) ± bevacizumab is associated with higher response rates with a potential for conversion of unresectable to resectable disease in mCRC. Yet limited evidence is available about efficacy and safety of this regimen in RWP with mCRC. The current study aims to evaluate conversion rate and safety of FOLFOXIRI ± bevacizumab in RWP with unresectable mCRC. Methods: Each year about 175 patients are diagnosed with mCRC in Saskatchewan. Patients who were diagnosed with unresectable mCRC between Jan 2015 to Dec 2018 and received FOLFOXIRI ±bevacizumab were assessed. Kaplan Meier survival methods and log rank test were performed. Logistic regression analysis was performed to assess factors correlate with conversion. Results: 28 eligible patients with median age of 51 yrs (IQR:39-60) and M:F of 11:16 were identified. 42% patients had a comorbid illness, and 43% had WHO performance status of 0. 39% had rectal cancer, 46% had extrahepatic disease and 46% had bilobar liver metastases. 58% patients had a positive response to therapy, 60% had grade 3/4 toxicity & 32% required hospital admission. No treatment-related mortality was noted. 54% patients underwent metastasectomy (liver 73%, peritoneum and or ovaries 20%, lung 6%). 68% had primary tumor resection, 29% received rectal radiation, 21% had ablation and 18% had second surgery for recurrence. At 4 years 50% patients are alive. Median progression free survival of patients who underwent surgery is 18 (95%CI:11.3-24.7) vs. 11 months (4-18.1) without surgery (P = 0.28). Median overall survival of patients with surgery is 33 (17.5-48.5) vs. 16 months (8.3-23.7) without surgery (P = 0.03). Positive response to treatment is correlated with conversion (odd ratio 21.7, p = 0.002). Conclusions: In the real world setting younger patients with good performance status received FOLFIRINOX ± bevacizumab. Despite high rates of toxicity, more than half of patients were able to undergo surgery. A positive response to treatment significantly correlates with metastasectomy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".