A Pilot Study Examining the Unmet Needs of Cancer Survivors Living with Polypathology
Bibliographic record
Abstract
With improved average longevity, the issue of polypathology in the cancer population is of growing importance, because it will increasingly affect more people. The present study piloted two self-report surveys aiming to provide preliminary data on the nature of polypathology and supportive care needs (met and unmet) of cancer survivors. Survivors were recruited from outpatient clinics at the Princess Margaret Hospital in Toronto and were asked to complete and give feedback on the surveys. Of a convenience sample of 88 survivors, almost three quarters (73%) reported having polypathology, and 64% had at least 1 unmet need. Results also suggest that those with the highest number of needs were more likely to have polypathology. Our study invites further assessments with self-report surveys of the complex picture that arises when cancer is not the only disease affecting a person. It also highlights the need for innovative supportive services to address patient needs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".