Quality of Life in a Real-World Study of Patients with Metastatic Colorectal Cancer Treated with Trifluridine/Tipiracil
Bibliographic record
Abstract
Background: Quality of life (qol) is important for oncology patients, especially for those with late-stage disease. The present study was initiated to address the lack of published prospective data about the qol benefits of trifluridine/tipiracil (ftd/tpi) compared with best supportive care (bsc) in patients with refractory metastatic colorectal cancer (mcrc). Methods: This prospective, cross-sectional, non-interventional study used multidimensional validated scales to evaluate patient-reported qol in two study cohorts of patients and also to measure differences in mcrc-related symptoms and pain in a real-world clinical setting. Results: Our findings demonstrate that patients with refractory mcrc report better overall qol when treated with ftd/tpi than with bsc alone. In that population, statistically significant differences in mean qol measures favoured ftd/tpi over bsc for physical symptom distress, psychological distress, activity impairment, overall valuation of life, and symptomatology. The overall better qol for patients receiving ftd/tpi implies that treatment was well tolerated and was associated with a lower symptom burden. No significant differences for pain were observed between the groups. Conclusions: This study suggests that ftd/tpi is a well-tolerated option for the treatment of patients with refractory mcrc, showcasing the value of capturing real-world qol data in routine clinical practice.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".