Humanistic burden of disease for patients with advanced melanoma in Canada
Bibliographic record
Abstract
BACKGROUND: Metastatic melanoma is a highly aggressive cancer, often striking in the prime of life. This study provides new information directly from advanced melanoma (stage III and IV) patients on how their disease impacts their health-related quality of life (HRQL). METHODS: Twenty-nine in-depth, qualitative interviews were conducted with adult patients with advanced melanoma in Canada. A semi-structured interview guide was used. Interviews were transcribed verbatim and key concepts were identified using a grounded theory analytic approach. RESULTS: Many patients' journeys began with the startling diagnosis of an invasive disease and a vastly shortened life expectancy. By the time they reached an advanced stage of melanoma, these patients' overall functioning and quality of life had been greatly diminished by this quickly progressing cancer. The impact was described in terms of physical pain and disability, emotional distress, diminished interactions with friends and family, and burden on caregivers. CONCLUSION: Our findings provide evidence of signs, symptoms, and functional impacts of advanced melanoma. Signs and symptoms reported (physical, mental, and social) confirm and expand on those reported in the existing clinical literature. Primary care physicians should be better trained to identify melanomas early. Oncology care teams can improve on their current approaches for helping patients navigate treatment options, with information about ancillary services to mitigate disease impacts on HRQL, such as mental health and social supports, as well as employment or financial support services.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".