2017
DOI: 10.1136/rmdopen-2017-000498
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Infection rates in patients from five rheumatoid arthritis (RA) registries: contextualising an RA clinical trial programme

Abstract: ObjectivePatients with rheumatoid arthritis (RA) have an increased risk of serious infections. Comparing infection rates across RA populations is complicated by differences in background infection risk, population composition and study methodology. We measured infection rates from five RA registries globally, with the aim to contextualise infection rates from an RA clinical trials population.MethodsWe used data from Consortium of Rheumatology Research of North America (CORRONA) (USA), Swedish Rheumatology Qual… Show more

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Cited by 27 publications
(27 citation statements)
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“…No significant differences were found in the outcomes of these cohorts after adjusting for age and sex. The results provide a meaningful rationale for conducting a world-wide epidemiological study of RA [19].…”
Section: Pharmacoeconomics Of Ra Therapymentioning
confidence: 82%
“…No significant differences were found in the outcomes of these cohorts after adjusting for age and sex. The results provide a meaningful rationale for conducting a world-wide epidemiological study of RA [19].…”
Section: Pharmacoeconomics Of Ra Therapymentioning
confidence: 82%
“…This rate is somewhat lower from what has been recently reported from other RA registries worldwide (range: 58-76%). 19 For example, in the US CORRONA registry among 24,176 RA patients (with 38% bDMARD use), 58% of patients had still active disease (DAS28ESR ⩾3.2). 20 One year later, a small but statistically significant increase in the proportion of patients who achieved LDA was noted (57%; +5%).…”
Section: Discussionmentioning
confidence: 99%
“…By contrast, separate but harmonised analyses (option 3) put particular demands on harmonisation not only of the raw data but also of the statistical analysis plan to be executed at each register. Since the absence of pooling of individual-level data precludes the potential for adjusted analyses across data sets, other means to accommodate important risk determinants across data sets must be implemented (eg, stratification and standardisation, as exemplified in a recently published study 26 ). The analytical ‘output’ to be pooled through meta-analytic approaches may vary from rates to actual relative risk estimates.…”
Section: Technical Logistic and Legal Challenges In Collaborative Stmentioning
confidence: 99%