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Analysing and reporting of observational data: a systematic review informing the EULAR points to consider when analysing and reporting comparative effectiveness research with observational data in rheumatology.

Kim LauperJoanna KedraMaarten P T de WitBruno FautrelThomas FrisellKimme L HyrichFlorenzo IannonePedro M MachadoLykke Midtbøll ØrnbjergZiga RotarMaria Jose SantosTanja Alexandra StammSimon R StonesAnja StrangfeldRobert B M LandeweAxel FinckhSytske Anne BergstraDelphine Sophie Courvoisier
Published in: RMD open (2022)
Most studies did not acknowledge missing data and attrition, and a tenth did not adjust for any confounding factors. When attempting to account for them, several studies used methods which potentially increase bias (LOCF, CC analysis, bivariate screening…). This study shows that there is no improvement over the last decade, highlighting the need for recommendations for the assessment and reporting of comparative drug effectiveness in observational data in rheumatology.
Keyphrases
  • electronic health record
  • adverse drug
  • big data
  • randomized controlled trial
  • systematic review
  • cross sectional
  • emergency department
  • data analysis
  • rheumatoid arthritis
  • systemic lupus erythematosus
  • deep learning