Patient-reported treatment-related symptom burden for patients with advanced melanoma in Canada
Bibliographic record
Abstract
BACKGROUND: Little is known on the impact of emerging treatments for advanced melanoma (stages III and IV) on patients' functioning and well-being. The objective of this study was to describe the patient-reported treatment-related symptom (TRS) burden in advanced melanoma. METHOD: Twenty-nine in-depth, qualitative interviews were conducted among adult patients with advanced melanoma in Canada using a semi-structured interview method. Interviews were transcribed verbatim, and key concepts were identified using a grounded theory analytic approach. RESULTS: The 29 patients reported 13 unique treatment journeys involving the following drug therapy categories: cytotoxic chemotherapies, CTLA-4 inhibitors, BRAF or MEK inhibitors, and PD-1 inhibitors. Patients typically underwent multiple treatment episodes over time. Common TRSs included nausea, fatigue, diarrhea or constipation, and skin rashes. Patients described these as impacting their physical functioning, ability to perform activities of daily living, social functioning, and overall quality of life. CONCLUSION: Our findings provide a description of the patient's experience with treatment for advanced melanoma. Our sample included patients typically diagnosed in mid-life, facing an urgent sequence of medical procedures and a pharmacological treatment journey that was burdensome. There is a need for less toxic and more efficacious treatments earlier in the patient journey to alleviate the impact of advanced melanoma treatment on patients' health-related quality of life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".