Observational studyArthritis & rheumatology (Hoboken, N.J.)2020
Physician Prescribing Patterns and Risk of Future Long-Term Opioid Use Among Patients With Rheumatoid Arthritis: A Prospective Observational Cohort Study.
Observational study in Arthritis & rheumatology (Hoboken, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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
6 citing papers in PubMed, 13 citations in OpenAlex.
- Towards an individualised approach to pain management in inflammatory arthritis.Therapeutic advances in musculoskeletal disease · 2026Review
- The Turkish version of the self-care behaviors scale for rheumatoid arthritis patients: cross-cultural adaptation and psychometric evaluation.BMC health services research · 2025Article
- JAK Inhibitors Versus Biologic Disease-Modifying Antirheumatic Drugs: Which Is More Effective for Rheumatoid Arthritis Pain?Arthritis & rheumatology (Hoboken, N.J.) · 2025Article
- Pharmacological pain management in patients with rheumatoid arthritis: a narrative literature review.BMC medicine · 2025Review
- Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.Nature communications · 2021Article
- Evaluation of Clinical Decision Support to Reduce Sedative-Hypnotic Prescribing in Older Adults.Applied clinical informatics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveTo identify the extent to which opioid prescribing rates for patients with rheumatoid arthritis (RA) vary in the US and to determine the implications of baseline opioid prescribing rates on the probability of future long-term opioid use.
methodsWe identified patients with RA from physicians who contributed ≥10 patients within the first 12 months of participation in the Corrona RA Registry. The baseline opioid prescribing rate was calculated by dividing the number of patients with RA reporting opioid use during the first 12 months by the number of patients with RA providing data that year. To estimate odds ratios (ORs) for long-term opioid use, we used generalized linear mixed models.
resultsDuring the follow-up period, long-term opioid use was reported by 7.0% (163 of 2,322) of patients of physicians with a very low rate of opioid prescribing (referent) compared to 6.8% (153 of 2,254) of patients of physicians with a low prescribing rate, 12.5% (294 of 2,352) of patients of physicians with a moderate prescribing rate, and 12.7% (307 of 2,409) of patients of physicians with a high prescribing rate. The OR for long-term opioid use after the baseline period was 1.16 (95% confidence interval [95% CI] 0.79-1.70) for patients of low-intensity prescribing physicians, 1.89 (95% CI 1.27-2.82) for patients of moderate-intensity prescribing physicians, and 2.01 (95% CI 1.43-2.83) for patients of high-intensity prescribing physicians, compared to very low-intensity prescribing physicians.
conclusionRates of opioid prescriptions vary widely. Our findings indicate that baseline opioid prescribing rates are a strong predictor of whether a patient will become a long-term opioid user in the future, after controlling for patient characteristics.
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