Characterizing Pain Experiences: African American Patients With Multiple Myeloma Taking Around-the-Clock Opioids
Bibliographic record
Abstract
BACKGROUND: Despite known disparities by race, studies to date have not focused on pain characterization among African American patients with multiple myeloma. OBJECTIVES: This study aimed to characterize the pain experience, beliefs about pain and pain control, and additional symptoms among African American patients with multiple myeloma taking around-the-clock opioids. METHODS: This study employed secondary analysis of baseline data from a completed longitudinal study of opioid adherence. Descriptive statistics were used to characterize the sample, pain experience, beliefs regarding pain and pain control, and related symptoms. FINDINGS: Participants (N = 34) experienced everyday pain and additional symptoms, and half experienced depression. Pain management barriers included dislike of pills, fear of addiction, and bothersome side effects from pain and medication. Additional larger studies can incorporate multilevel factors contributing to high symptom burden.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".