Oxaliplatin Plus Irinotecan Compared With Irinotecan Alone as Second-Line Treatment After Single-Agent Fluoropyrimidine Therapy for Metastatic Colorectal Carcinoma
Bibliographic record
Abstract
UNLABELLED: PURPOSE To determine whether irinotecan plus oxaliplatin (IROX) is superior to irinotecan alone in patients with metastatic colorectal cancer (CRC) previously treated with single-agent fluoropyrimidines. PATIENTS AND METHODS A phase III, randomized, open-label, multicenter study of patients with metastatic or recurrent CRC that had progressed or recurred during or after adjuvant or first-line fluoropyrimidines (fluorouracil/leucovorin or capecitabine, the latter only for metastatic CRC). Patients received IROX (irinotecan 200 mg/m(2) plus oxaliplatin 85 mg/m(2)) or irinotecan alone (350 mg/m(2)) every 3 weeks. RESULTS: At the data cutoff (when 447 of 628 randomly assigned patients had died), median overall survival was 13.4 months (95% CI, 12.4 to 14.7 months) and 11.1 month (95% CI, 10.0 to 12.7 months) in the IROX and irinotecan groups, respectively (hazard ratio = 0.78; 95% CI, 0.65 to 0.94; P = .0072). Overall response rate (22% v 7%, respectively; P < .0001), median time to progression (5.3 v 2.8 months, respectively; P < .0001), and improvement in tumor-related symptoms (32% v 19%, respectively; P = .0072) were also improved with IROX as compared with irinotecan. With the exception of granulocytopenia (25% v 13%), diarrhea (28% v 23%), and sensory disturbances (5% v 0%), grade 3 to 4 toxicities were comparable between the IROX and irinotecan groups, respectively. CONCLUSION IROX is an effective treatment for metastatic CRC that has progressed after first-line fluoropyrimidine therapy. IROX improves efficacy compared with irinotecan alone, providing an additional option in the postadjuvant or second-line treatment setting for patients who experience treatment failure with single-agent fluoropyrimidine therapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".