Evaluating the time toxicity of cancer treatment in the CCTG CO.17 randomized clinical trial (RCT).
Bibliographic record
Abstract
248 Background: Most individual treatments for advanced cancer are associated with modest survival benefits. The time spent in pursuing these treatments can be substantial. We have previously developed a pragmatic and patient-centered metric of these time costs, which we term ‘’time toxicity’’, as any day with physical healthcare system contact. This includes outpatient visits (e.g., for bloodwork, scans, infusions, urgent care), emergency room visits, and overnight stays in a healthcare facility. Herein we sought to assess time toxicity in a completed RCT. Methods: We conducted a secondary analysis of the Canadian Cancer Trials Group CO.17 RCT that evaluated weekly cetuximab infusions vs supportive care alone in 572 patients with advanced colorectal cancer. CO.17 recruited participants in Canada, Australia and New Zealand. Initial results reported a 6-week improvement in median overall survival (OS) with cetuximab (6.1 vs 4.6 months, p = 0.005). Subsequent analyses reported that OS benefit was restricted to and significantly more in patients with K-ras wild-type tumors. We calculated patient-level time toxicity by analyzing treatment, follow-up, and resource utilization forms. We considered a day without physical healthcare contact as a ‘’home day’’. Thus, for a patient, OS was time toxic days + home days. We compared medians of time measures across arms, and stratified results by K-ras status. Results: In the overall population, median time toxic days were higher in the cetuximab arm (28, vs 10, p < 0.001), although median home days were not statistically different (140, vs 121, p = 0.09). The proportion of time toxic days (time toxic days/OS) were significantly more with cetuximab (18%, vs 6%, p < 0.001). Of the 28 time toxic days in the overall cetuximab arm, 14 (50%) were protocol-related (e.g., scheduled infusions etc). Stratified results are in the table. Conclusions: Time toxicity can be extracted through secondary analyses of RCTs. In CO.17, despite an overall OS-benefit with cetuximab, home days were statistically similar across arms. In the K-ras-mutated group, cetuximab was associated with numerically similar OS but more time toxic days. In the K-ras-wild type group, cetuximab was associated with higher home days. Thus, time toxicity data need not always be sobering. Time toxicity measures can supplement traditional survival endpoints in RCTs to guide patient-oncologist decision-making. Cooperative group RCTs are well positioned for such analyses. Clinical trial information: NCT00079066. [Table: see text]
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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 | 0.019 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".