The late paid price: The lived experience of late radiation associated dysphagia
Bibliographic record
Abstract
Late radiation-associated dysphagia is a rare side effect of radiation treatment for head and neck cancer. Arising over five years after treatment, it may profoundly impact survivors’ health and quality of life. This study sought to gain insight into the lived experience of late radiation associated dysphagia. This qualitative study utilised semi-structured phone interviews. Research assistants completed transcription using a consensus process with the first author for unclear speech segments. A patient partner was consulted at all study stages. Participants were purposively sampled from a single Canadian province, and an inductive thematic analysis was employed. Twelve participants were enrolled between 9–33 years post cancer diagnosis. Four main themes were identified: a) Glad to be alive, but…, b) eating isn’t the same, c) it changes everything, and d) a lot of gaps. We identified impacts beyond physiological changes. Social connection, daily logistics and eating related quality of life challenges were prevalent. Results highlight gaps in person-centred decision making and access to health care professionals who understand and recognise this complex condition. We recommend improved patient education, provider awareness, as well as monitoring and treatment for late effects.
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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 | 0.003 | 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 | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".