ArticleJournal of the National Cancer Institute2020
Predicting Persistent Opioid Use, Abuse, and Toxicity Among Cancer Survivors.
Article in Journal of the National Cancer Institute, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025Pooled it
- Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review.Journal of clinical epidemiology · 2023Pooled it
- Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose.Journal of addiction medicinePooled it
- Prophylactic Versus Therapeutic Sucralfate in Patients at High Risk for Radiation Esophagitis: Randomized Controlled Trial.Practical radiation oncology · 2026Article
- Opioid prescription patterns in long-term disease-free cancer survivors: a retrospective analysis at a single NCI-designated comprehensive cancer center.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- Opioid prescribing trends and pain scores among adult patients with cancer in a large health system.Cancer · 2025Article
- Observational
- "I don't tell anyone I have them:" Experiences with opioid stigma from the perspective of survivors living with chronic cancer-related pain and clinicians that care for them.The journal of pain · 2025Article
- The prevalence and predictors of discharge opioid overprescribing in opioid-naïve patients after breast, gynecologic, and head and neck cancer surgery: a prospective cohort study.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025Article
- Opioid tapering in older cancer survivors does not increase psychiatric or drug hospitalization rates.Journal of the National Cancer Institute · 2024Article
- Trends in new and persistent opioid use in older adults with and without cancer.Journal of the National Cancer Institute · 2024Article
- Identification the Low Oxidative Stress Subtype of Periodontitis.International dental journal · 2024Article
- Personalized Medicine in Cancer Pain Management.Journal of personalized medicine · 2023Review
- Outcome class imbalance and rare events: An underappreciated complication for overdose risk prediction modeling.Addiction (Abingdon, England) · 2023Article
- Racial disparities in opioid prescription and pain management among breast cancer survivors.Cancer medicine · 2023Article
- Race, Ethnicity, and Sustained Opioid Use After Major Abdominal Surgery for Cancer.Journal of pain research · 2023Article
- Role of Cannabidiol for Improvement of the Quality of Life in Cancer Patients: Potential and Challenges.International journal of molecular sciences · 2022Review
- Article
- Long-term opioid use in patients treated with head and neck intensity-modulated radiotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Impacts of an Opioid Safety Initiative on US Veterans Undergoing Cancer Treatment.Journal of the National Cancer Institute · 2022Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAlthough opioids play a critical role in the management of cancer pain, the ongoing opioid epidemic has raised concerns regarding their persistent use and abuse. We lack data-driven tools in oncology to understand the risk of adverse opioid-related outcomes. This project seeks to identify clinical risk factors and create a risk score to help identify patients at risk of persistent opioid use and abuse.
methodsWithin a cohort of 106 732 military veteran cancer survivors diagnosed between 2000 and 2015, we determined rates of persistent posttreatment opioid use, diagnoses of opioid abuse or dependence, and admissions for opioid toxicity. A multivariable logistic regression model was used to identify patient, cancer, and treatment risk factors associated with adverse opioid-related outcomes. Predictive risk models were developed and validated using a least absolute shrinkage and selection operator regression technique.
resultsThe rate of persistent opioid use in cancer survivors was 8.3% (95% CI = 8.1% to 8.4%); the rate of opioid abuse or dependence was 2.9% (95% CI = 2.8% to 3.0%); and the rate of opioid-related admissions was 2.1% (95% CI = 2.0% to 2.2%). On multivariable analysis, several patient, demographic, and cancer and treatment factors were associated with risk of persistent opioid use. Predictive models showed a high level of discrimination when identifying individuals at risk of adverse opioid-related outcomes including persistent opioid use (area under the curve [AUC] = 0.85), future diagnoses of opioid abuse or dependence (AUC = 0.87), and admission for opioid abuse or toxicity (AUC = 0.78).
conclusionThis study demonstrates the potential to predict adverse opioid-related outcomes among cancer survivors. With further validation, personalized risk-stratification approaches could guide management when prescribing opioids in cancer patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.