Association between tobacco use, pain expression, and coping strategies among patients with advanced cancer
Bibliographic record
Abstract
BACKGROUND: The objective of the current study was to evaluate the association between tobacco use, symptom expression, and coping strategies in patients with advanced cancer. METHODS: The authors prospectively enrolled patients with advanced cancer and collected data regarding patient demographics, cancer diagnosis, morphine equivalent daily dose, cigarette smoking status using the Behavioral Risk Factor Surveillance System, symptom expression as measured by the Edmonton Symptom Assessment System, the Cut down/Annoyed/Guilty/Eye opener alcoholism questionnaire, the Screener and Opioid Assessment for Patients with Pain-short form survey, and the Brief COPE Questionnaire. RESULTS: Among 399 patients, 195 (49%) were never-smokers, 158 (40%) were former smokers, and 46 (11%) were current smokers. The most common malignancies were gastrointestinal (21%) and breast (19%). Current smokers demonstrated significantly higher pain scores at the time of consultation compared with former or never-smokers (mean 6.4 vs 5.9 vs 5.1, respectively; P = .015), demonstrated increased morphine equivalent daily dose (median 90 mg/day vs 60 mg/day vs 50 mg/day, respectively; P = .002), were more likely to screen as positive on the Cut down/Annoyed/Guilty/Eye opener questionnaire (33% vs 24% vs 8.7%, respectively; P < .0001) and were more likely to screen as positive (≥4) on the Screener and Opioid Assessment for Patients with Pain-short form survey (74% vs 13% vs 9.3%, respectively; P < .0001). Compared with former and never-smokers, current smokers were significantly more likely to cope maladaptively with substance use (P = .02), denial (P = .007), and self-blame (P < .0001). CONCLUSIONS: Among patients with advanced cancer, current and former smokers appear to be significantly more likely to have higher pain expression and thus require higher opioid doses, and to have more risk factors for using opioids in a nonprescribed manner. The results of the current study highlight the need to provide closer monitoring and increased psychosocial support for patients with cancer who smoke while receiving chronic opioid therapy.
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 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".