ArticleJournal of cancer survivorship : research and practice2023
Cancer pain and alcohol self-medication.
Article in Journal of cancer survivorship : research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- [Sub-committee of Anesthesiology of Guangzhou Integrated Traditional Chinese and Western Medicine Society].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- Factors associated with cancer-related pain among Utah cancer survivors.Journal of cancer survivorship : research and practice · 2025Article
- Relationship between pain and nonopioid substance use in two national samples of cancer survivors.Cancer · 2025Article
- Association of Social Determinants with Patient-Reported Outcomes in Patients with Cancer.Cancers · 2024Article
- Clinical, demographic factors, and substance use among Hispanic and non-Hispanic young adult childhood cancer survivors.Journal of psychosocial oncology · 2024Article
- Physical Activity, Alcohol, and Cigarette Use in Urological Cancer Patients over Time since Diagnosis.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer survivors are at increased risk of pain due to their either cancer and/or treatments. Substances like alcohol may be used to self-medicate cancer pain; however, these substances pose their own health risks that may be more pronounced for cancer survivors.
methodsWe used cross-sectional data from the Behavioral Risk Factor Surveillance System (BRFSS) 2012-2019 to quantify the association between cancer pain and alcohol use. We used negative binomial regression, with interaction terms added to examine variations across age, sex, and race. We also examined whether alcohol use relates to cancer pain control status.
resultsCancer survivors with cancer pain were more likely to be younger, female, Black, and to have been diagnosed with breast cancer. Cancer pain was associated with lower alcohol consumption (incidence rate ratio (IRR): 0.88, confidence interval (CI): 0.77, 0.99). This association was primarily among people 65 and older, women, and white and Hispanic people. Cancer pain control status was not related to alcohol use.
conclusionsLower alcohol use among cancer survivors with pain has many possible explanations, including several alternative pain management strategies or a decrease in social engagement. Our findings of racial and gender disparities in cancer pain are consistent with the broader evidence on disparities in pain. IMPLICATIONS FOR CANCER SURVIVORS: Cancer pain management for marginalized groups should be improved. Healthcare providers should screen cancer survivors for both pain and substance use, to prevent unhealthy self-medication behaviors.
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What OpenQuestion holds
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.