The association of health-care contact days with physical function and survival in CCTG/AGITG CO.17
Bibliographic record
Abstract
INTRODUCTION: Although contact days-days with health-care contact outside home-are increasingly adopted as a measure of time toxicity and treatment burden, they could also serve as a surrogate of treatment-related harm. We sought to assess the association between contact days and patient-reported outcomes and the prognostic ability of contact days. METHODS: We conducted a secondary analysis of CO.17 that evaluated cetuximab vs supportive care in patients with advanced colorectal cancer. CO.17 collected European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 instrument data. We assessed the association between number of contact days in a window and changes in physical function and global health status and the association between number of contact days in the first 4 weeks with overall survival. RESULTS: There was a negative association between the number of contact days and change in physical function (per each additional contact day: at 4 weeks, 1.50-point decrease; 8 weeks, 1.06-point decrease; P < .0001 for both) but not with global health status. This negative association was seen in patients receiving cetuximab but not supportive care. More contact days in the first 4 weeks was associated with worse overall survival for all participants and patients receiving cetuximab (per each additional contact day: all participants, adjusted hazard ratio [HR] = 1.07, 95% confidence interval [CI] = 1.05 to 1.10; and cetuximab, adjusted HR = 1.08, 95% CI = 1.05 to 1.11; P < .0001 for both). CONCLUSIONS: In this secondary analysis of a clinical trial, more contact days early in the course were associated with declines in physical function and worse survival in all participants and in participants receiving cancer-directed treatment. TRIAL REGISTRATION: ClinicalTrials.gov number, NCT00079066.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".