Bibliographic record
Abstract
The aim of this dissertation is to elucidate age-related patterns in the multidimensional experience of cancer pain. Chapter 1 presents a literature review of age-related patterns in cancer pain, outlines the methodological limitations of existing literature and highlights gaps in our knowledge. Chapter 2 presents the first psychometric analysis of the Short-Form McGill Pain Questionnaire-2 in older and younger people with cancer pain. The weight of the evidence suggests that this tool is valid for use in older and younger people with cancer pain. Chapter 3 presents an analysis of age-related patterns in the experience of cancer pain across the biopsychosocial spectrum. Pain intensity, qualities, and interference did not differ across age groups but older patients were somewhat less likely to be prescribed an opioid. Comorbidity was associated with greater pain for younger, but not older people, and chronic nonmalignant pain was associated with greater pain for older, but not younger people. An age-related pattern in the supportive context of cancer pain based on health status factors may also be present. There were no age differences in depressive symptoms, but intrusive thoughts were associated with greater pain for younger but not older patients, suggesting a unique adaptive advantage of prior experience with health limitations among older, but not younger patients. Chapter 4 presents a preliminary investigation of the role of pain three months after breast cancer surgery in the relationship between age and depressive symptoms. In women with moderate-to-severe pain, age was not associated with depressive symptoms but in women with mild or no pain, younger age was associated with greater depressive symptoms. However, in women with neuropathic pain, younger age was associated with greater depressive symptoms, but not in women without neuropathic pain. The impact of pain was not age-related. High preoperative pain expectations may be a risk factor for pain three months after breast cancer surgery, regardless of age. In Chapter 5, results are integrated and discussed along with implications for future research and treatment.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".