Comparison between rheumatoid arthritis with malignant lymphoma and other malignancies: Analysis of a National Database of Rheumatic Disease in Japan
Authors' conclusion
Patients receiving long-term treatment with MTX and NSAIDs may be at a relatively high risk of developing ML.
Study context
- Population
- Rheumatoid arthritis (RA) patients with new-onset malignancies, National Database of Rheumatic Disease in Japan, 2012–2018 (mean age 70.5)cohorts of 597 and 490
- Participants
- 935 patients
- Exposure
- RA with malignant lymphoma vs RA with other malignancies
- Outcome
- Factors associated with development of ML vs other malignancies
- Follow-up
- 1 year before malignancy
Methodological detailsnational database, multiple logistic regression
- National database
- Multiple logistic regression
Main finding
As reported in the abstract
Factors associated with ML vs other malignancies (multivariable)
ML vs Other malignanciesOdds ratio (95% CI)P value
MTX use
2.22(1.32–3.73)
P = 0.003NSAID use
2.51(1.58–3.98)
P < 0.001Observational data: associations, not effects.
Further findings
Drug use 1 year before malignancy (cohort 1)
MTX
bDMARDs
NSAIDs
CDAI remission · year 1
| Outcome | ML | Other malignancies |
|---|---|---|
| MTX use 1 year after malignancy (cohort 2) | 0 events | 41.8% |
Proportion with malignant lymphoma (ML) among all malignancies
- ML among malignancies
- 15.5%
- Lung cancer among malignancies
- 14.3%
Drug use 1 year before malignancy (cohort 1)
- Clinical disease activity index (CDAI) and CRP similar between the two groups
Methotrexate (MTX) use 1 year after malignancy (cohort 2)
- In both groups ≈15% received biological disease-modifying anti-rheumatic drugs (bDMARDs) and 50% GC
- IL-6 inhibitors preferentially prescribed in ML vs other malignancies
Original publication
Comparison between rheumatoid arthritis with malignant lymphoma and other malignancies: Analysis of a National Database of Rheumatic Disease in Japan. Semin Arthritis Rheum. Published 3 November 2023. doi:10. 1016/ j. semarthrit. 2023. 152301
Composed by AI from the published abstract and checked against it. How Briefs are made →