Palliative Chemotherapy for Patients 70 Years of Age and Older with Metastatic Colorectal Cancer: A Single-Centre Experience
Bibliographic record
Abstract
BACKGROUND: Metastatic colorectal cancer (mcrc) commonly affects elderly people, an understudied subset of patients. We analyzed the survival impact of the first and subsequent lines of chemotherapy in eligible non-trial patients 70 years of age and older with mcrc treated between 2004 and 2012. METHODS: This single-centre retrospective analysis estimated overall survival (os) and progression-free survival (pfs) using the Kaplan-Meier method. Multivariate analysis was used to adjust for age, sex, Eastern Cooperative Oncology Group performance status, score on the Charlson comorbidity index, dependency in activities of daily living, and exposure to 1 or more chemotherapy doublets, capecitabine alone, or best supportive care (bsc). RESULTS: Of 109 patients identified, 29 elected bsc, and 80 received chemotherapy. In multivariate analysis, age was not associated with os [hazard ratio (hr): 0.99; 95% confidence interval (ci): 0.92 to 1.05], but a performance status of 2 or higher was associated with a decreased likelihood of survival (hr: 3.12; 95% ci: 1.87 to 5.76), and exposure to 1 or more doublets was associated with improved survival (hr: 0.33; 95% ci: 0.17 to 0.66). In univariate analysis, a trend toward improved os was observed for first-line doublet chemotherapy compared with capecitabine (hr: 0.66; 95% ci: 0.41 to 1.07), and pfs was superior (hr: 0.46; 95% ci: 0.26 to 0.84). Compared with exposure to 1 doublet, exposure to the 3 potential cytotoxic chemotherapies was not associated with improved os (hr: 0.77; 95% ci: 0.41 to 1.43). The incidence of neutropenia with first-line folfiri was 40%; the incidences of bevacizumab-related arterial and venous thrombosis were both 8%. CONCLUSIONS: Exposure to 1 or more doublet chemotherapies for mcrc was associated with better outcomes in non-trial patients 70 years of age and older. Elderly patients treated with palliative chemotherapy and bevacizumab should be monitored carefully for arterial and venous thrombotic events.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".