Understanding the symptoms experienced by individuals with lung cancer
Bibliographic record
Abstract
The purpose of this study was to gain a better understanding of patients' experience of symptoms of lung cancer upon a first visit to a regional cancer centre and two months later. Sixteen patients were interviewed on two occasions about the symptoms, their impact and what they found most troublesome. Patients were also asked to describe any strategies they used to manage the symptoms. The most commonly identified symptoms were fatigue and pain. Participants described coping with multiple symptoms simultaneously, how those symptoms intensified over time, and using very few strategies. Participants described symptoms as troublesome because they interfered with activities of daily living or evoked emotional or cognitive responses. Fatigue was reported most frequently as troublesome. This work has implications for how patient assessments are conducted and how health care professionals listen to the patients. The patients' descriptions of their symptoms and what strategies they applied is often embedded within the patients' stories about living day-to-day with their lung cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".