Correlations of patient-reported measures (PRM) for health, quality of life (QOL), functional status, and social supports with survival in early-stage colon cancer.
Bibliographic record
Abstract
9577 Background: PRM can enhance our understanding of patients’ needs and facilitate cancer treatment decision making. Few studies have explored the relationships between brief PRM and outcomes in early stage colon cancer. Our aims were 1) to determine the effects of prospectively collected PRM on cancer-specific (CSS) and overall survival (OS) and 2) to examine if this association is modified in the elderly. Methods: Patients diagnosed with stage 1 to 3 colon cancer in 2008, evaluated at 1 of 5 regional cancer centers in British Columbia, and provided baseline PRM were included. PRM consisting of a series of short, self-administered scales that described patient-reported health, QOL, functional status and social supports were collected at baseline and correlated with CSS and OS using regression models that controlled for known prognostic factors such as tumor and nodal stage. We subsequently assessed for effect modification by age, stratifying the cohort into younger (YP; <70 years) and elderly patients (EP; >/=70 years). Results: In total, 223 patients were included: 94 (42%) were EP, 111 (49%) were women, and 152 (68%) were white. Compared to YP, EP were more frequently widowed (27 vs 9%, p=0.0005) and reported having children (92 vs 81%, p=0.03), but they were less likely to receive chemotherapy (57 vs 90%, p<0.0001). There were no significant differences in PRM based on age, with the majority indicating they had regular contact with family and friends (92%) and many describing good overall health, QOL, and functional status (48, 61, and 69%, respectively). However, a significant proportion wished for more emotional support (54%). In regression models, self-reported poor functional status was associated with worse OS (HR 2.69, 95%CI 1.09-6.65), but not CSS (HR 1.74, 95%CI 0.61-4.94). This did not differ significantly between YP and EP (p interaction >0.05). No other PRM correlated with OS or CSS (all p>0.05). Conclusions: For early stage colon cancer, self-reported functional status was independently associated with OS. Additional PRM failed to enhance prognostication, suggesting that more comprehensive tools may be required to improve patient assessments.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".