Impact of irinotecan and oxaliplatin on overall survival in patients with metastatic colorectal cancer (MCRC): A population- based study
Bibliographic record
Abstract
4077 Background: Over the past 10 years, chemotherapeutic options for MCRC has significantly expanded from 5-FU based therapy, to include irinotecan and oxaliplatin. The effect of the availability of these treatments on overall survival is evaluated among patients in 3 time cohorts referred to the British Columbia Cancer Agency (BCCA). Methods: Patients with newly diagnosed or relapsed metastatic colorectal cancer referred to the BCCA in 1995/96, 2000 and 2003/04 were included. In 1995/96, 5-FU was the only palliative chemotherapy agent available at BCCA and irinotecan and oxaliplatin were available in 2000 and 2003, respectively. A one year period was used for the irinotecan cohort to minimize overlap between groups. Overall survival estimates were generated using the Kaplan Meier method. Survival was calculated from time of diagnosis of distant metastatic disease to either death or last contact date. Results: Cohorts were generally similar, however, a significantly higher proportion of patients received chemotherapy in more recent eras ( Table 1 ). Only 25% of patients received both irinotecan and oxaliplatin in 2003/4 and only 10 % received biologic therapies. An improvement in median survival of 3.6 months was observed. The improvement in the treated subgroup was 4.2 months. Outcomes of patients untreated with chemotherapy were unchanged between cohorts. Conclusions: In this population based study, the proportion of patients with MCRC treated with chemotherapy significantly increased between 1995/6 and 2000/2003/4. Patients treated with chemotherapy experienced a 4.2 month increase in median survival in 2003/4 compared to 1995/6. Survival improvements were only significant in the time period when all three effective chemotherapies (5FU, irinotecan and oxaliplatin) were available. As bevacizumab was not available until 2006, its survival impact in this population is not yet known. [Table: see text] No significant financial relationships to disclose.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".