Postoperative duration of opioid use and acute healthcare services use in cancer patients hospitalized for thoracic surgery
Bibliographic record
Abstract
BACKGROUND: Postoperative pain control is an important cancer care component. However, opioid consumption has resulted in a surge of adverse events, with thoracic surgery patients having the highest rate of persistent use. The effect of opioid duration post-discharge and the risk of increased acute healthcare use in this population remains unclear. METHODS: A prospective cohort of non-metastatic cancer patients was assembled from an academic health center in Montreal (Canada). Clinical data linked to administrative claims from the universal healthcare program was used to determine the association between time-varying opioid patterns and emergency department (ED) visits/re-admissions/death 3 months following thoracic surgery. RESULTS: Of the 610 patients, 77% had at least one opioid dispensed post-discharge. Compared to non-opioid users, <15 days of use was associated with a 42% decreased risk of acute healthcare events, adjusted HR 0.58, 95% CI (0.40-0.85); longer durations were not associated with an increased risk. Compared to short-term use (<15 days), use of >30 days was associated with a 72% increased risk of the outcome, aHR: 1.72, 95% CI (1.01-2.93). CONCLUSION: There was a variation in the risk of acute healthcare use associated with postsurgical opioid use. Findings from this study may be used to inform postoperative prescribing practices.
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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) | 0.001 | 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".