Observational studyClinical rheumatology2026
Risk factors for infection in rheumatoid arthritis patients treated with tocilizumab: an observational study highlighting hydroxychloroquine use.
Observational study in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
introductionInfections remain a major safety concern in patients with rheumatoid arthritis (RA) receiving tocilizumab (TCZ). This study evaluated clinical risk factors for clinically significant infections in a real-world cohort of TCZ-treated patients with RA.
methodsWe conducted a retrospective single-center cohort study including 207 patients with RA who received TCZ. Follow-up continued until infection, loss to follow-up, or 6 months after TCZ discontinuation. Clinically significant infections were defined as events requiring antibiotics, antivirals, or hospitalization. Baseline clinical characteristics, comorbidities, and concomitant medications were analyzed. Multivariable Cox proportional hazards models were used to evaluate factors associated with infection. To address potential confounding by indication, inverse probability of treatment weighting (IPTW) based on propensity scores was performed as a sensitivity analysis.
resultsAmong 207 patients, 58 (28.0%) developed at least one clinically significant infection during follow-up. Respiratory tract infections were the most common (82.8%), followed by urinary tract infections (8.6%). In the multivariable Cox model adjusted for disease duration, methotrexate use, and glucocorticoid dose, concomitant hydroxychloroquine (HCQ) use was associated with a lower observed hazard of infection (HR = 0.546, 95% CI 0.306-0.975; P = 0.041). This association remained directionally consistent in the bootstrap-validated IPTW analysis (median weighted HR = 0.583, 95% CI 0.301-0.989).
conclusionsIn this real-world cohort of TCZ-treated patients with RA, concomitant HCQ use was associated with a lower observed risk of clinically significant infection. These findings may help refine infection risk stratification but should be interpreted as hypothesis-generating because of the observational study design. Keypoints • Infections remain an important safety concern for patients with rheumatoid arthritis receiving tocilizumab in real-world practice. • This retrospective cohort study evaluated clinical predictors of clinically significant infections during and shortly after tocilizumab therapy. • HCQ use was associated with a lower observed hazard of infection in the multivariable analysis, and this association was directionally consistent in the IPTW-weighted analysis. • Given the observational design, this association should be interpreted cautiously and confirmed in prospective studies.
Indexed as
Identifiers
42611374What 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.