Centre effects and case-mix in early rheumatoid arthritis observational cohorts: a narrative review

Rheumatology (Oxford). 2019 Nov 1;58(11):1991-1999. doi: 10.1093/rheumatology/kez151.

Abstract

Objectives: Observational cohort studies in early RA are a key source of evidence, despite inconsistencies in methodological approaches. This narrative review assesses the spectrum of methodologies used in addressing centre-level effect and case-mix adjustment in early RA observational cohort studies.

Methods: An electronic search was undertaken to identify observational prospective cohorts of >100 patients recruited from two or more centres, within 2 years of an RA or early inflammatory arthritis diagnosis. References and author publication lists of all studies from eligible cohorts were assessed for additional cohorts.

Results: Thirty-four unique cohorts were identified from 204 studies. Seven percent of studies considered centre in their analyses, most commonly as a fixed effect in regression modelling. Reporting of case-mix variables in analyses varied widely. The number of variables considered in case-mix adjustment was higher following publication of the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) statement in 2007.

Conclusion: Centre effect is unreported or inadequately accounted for in the majority of RA observational cohorts, potentially leading to spurious inferences and obstructing comparisons between studies. Inadequate case-mix adjustment precludes meaningful comparisons between centres. Appropriate methodology to account for centre and case-mix adjustment should be considered at the outset of analyses.

Keywords: case-mix; centre effect; early inflammatory arthritis; methodology; narrative review; observational cohorts; rheumatoid arthritis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Arthritis, Rheumatoid*
  • Bias
  • Cohort Studies*
  • Diagnosis-Related Groups / statistics & numerical data*
  • Effect Modifier, Epidemiologic
  • Humans
  • Observational Studies as Topic / methods
  • Observational Studies as Topic / statistics & numerical data*
  • Regression Analysis
  • Research Design / statistics & numerical data*