Risk of chronic opioid use after radiation for head and neck cancer: A systematic review and meta-analysis.
Bibliographic record
Abstract
6579 Background: Opioid overuse is a major international public health concern. The prevalence and risk factors for chronic opioid use (COU) in radiation-induced head and neck pain are poorly understood. The aim of this study was to estimate the rates of COU and to identify risk factors for COU in head and neck cancer (HNC) patients undergoing curative-intent radiotherapy (RT) or chemoradiotherapy (CRT). Methods: We performed a systematic review and meta-analysis based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, using the PubMed (Medline), EMBASE, and Cochrane library databases, queried from dates of inception until present. COU was defined as persistent opioid use ≥3 months after treatment completion. Studies in the English language that reported on COU in HNC patients who received RT/CRT were included. Meta-analyses were performed using random effects models. Heterogeneity was assessed using the I2 value. Results: A total of 134 studies were identified, with 7 retrospective studies (reporting on 1841 patients) meeting inclusion criteria. Median age was 59.4 years (range 56.0-62.0) with 1343 (72.9%) men and 498 (27.1%) women. Primary tumour locations included oropharynx (891, 48.4%), oral cavity (533, 29.0%), larynx (93, 5.1%), hypopharynx (32, 1.7%), and nasopharynx (29, 1.6%). 846 (46.0%) patients had stage I/II disease and 926 (50.3%) had stage III-IV disease. 301 (16.3%) patients had RT alone, 738 (40.1%) received CRT, and 594 (32.3%) underwent surgery followed by adjuvant RT/CRT. The proportion of HNC patients who received radiotherapy and developed COU was 40.7% at 3 months (95% CI 22.6%-61.7%, I2= 97.1%), 15.5% at 6 months (95% CI 7.3%-29.7%, I2= 94.3%) and 7.0% at 1 year. There were significant differences in COU based on primary tumor sites (P < 0.0001), with the highest rate (46.6%) in oropharyngeal malignancies. Other factors associated with COU included history of psychiatric disorder (61.7%), former/current alcohol abuse (53.9%), and start of opioids prior to radiation treatment (51.6%). There was no significant difference in the proportion of COU by gender (P = 0.683), disease stage (I/II vs III/IV; P = 0.443), or treatment received (RT, CRT, or adjuvant RT/CRT; P = 0.711). Conclusions: A significant proportion of patients who undergo radiotherapy for head and neck cancer suffer from COU. High-risk factors for COU include an oropharyngeal primary tumour, history of psychiatric disorder, former/current alcohol abuse, and pre-treatment opioid use. New strategies to mitigate opioid use are needed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.043 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".