Literature DB >> 35058229

EULAR points to consider when analysing and reporting comparative effectiveness research using observational data in rheumatology.

Delphine Sophie Courvoisier1, Kim Lauper2,3, Joanna Kedra4,5, Maarten de Wit6, Bruno Fautrel7,8, Thomas Frisell9, Kimme L Hyrich3, Florenzo Iannone10, Pedro M Machado11,12,13, Lykke Midtbøll Ørnbjerg14, Ziga Rotar15,16, Maria Jose Santos17,18, Tanja A Stamm19,20, Simon R Stones21, Anja Strangfeld22, Sytske Anne Bergstra23, Robert B M Landewé24,25, Axel Finckh2.   

Abstract

BACKGROUND: Comparing treatment effectiveness over time in observational settings is hampered by several major threats, among them confounding and attrition bias.
OBJECTIVES: To develop European Alliance of Associations for Rheumatology (EULAR) points to consider (PtC) when analysing and reporting comparative effectiveness research using observational data in rheumatology.
METHODS: The PtC were developed using a three-step process according to the EULAR Standard Operating Procedures. Based on a systematic review of methods currently used in comparative effectiveness studies, the PtC were formulated through two in-person meetings of a multidisciplinary task force and a two-round online Delphi, using expert opinion and a simulation study. Finally, feedback from a larger audience was used to refine the PtC. Mean levels of agreement among the task force were calculated.
RESULTS: Three overarching principles and 10 PtC were formulated, addressing, in particular, potential biases relating to attrition or confounding by indication. Building on Strengthening the Reporting of Observational Studies in Epidemiology guidelines, these PtC insist on the definition of the baseline for analysis and treatment effectiveness. They also focus on the reasons for stopping treatment as an important consideration when assessing effectiveness. Finally, the PtC recommend providing key information on missingness patterns.
CONCLUSION: To improve the reliability of an increasing number of real-world comparative effectiveness studies in rheumatology, special attention is required to reduce potential biases. Adherence to clear recommendations for the analysis and reporting of observational comparative effectiveness studies will improve the trustworthiness of their results. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; health care; outcome assessment; patient reported outcome measures

Mesh:

Year:  2022        PMID: 35058229     DOI: 10.1136/annrheumdis-2021-221307

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   27.973


  2 in total

1.  Accounting for missing data caused by drug cessation in observational comparative effectiveness research: a simulation study.

Authors:  Denis Mongin; Kim Lauper; Axel Finckh; Thomas Frisell; Delphine Sophie Courvoisier
Journal:  Ann Rheum Dis       Date:  2022-01-13       Impact factor: 19.103

2.  Effectiveness of TNF-inhibitors, abatacept, IL6-inhibitors and JAK-inhibitors in 31 846 patients with rheumatoid arthritis in 19 registers from the 'JAK-pot' collaboration.

Authors:  Kim Lauper; Michele Iudici; Denis Mongin; Sytske Anne Bergstra; Denis Choquette; Catalin Codreanu; René Cordtz; Diederik De Cock; Lene Dreyer; Ori Elkayam; Ellen-Margrethe Hauge; Doreen Huschek; Kimme L Hyrich; Florenzo Iannone; Nevsun Inanc; Lianne Kearsley-Fleet; Eirik Klami Kristianslund; Tore K Kvien; Burkhard F Leeb; Galina Lukina; Dan C Nordström; Karel Pavelka; Manuel Pombo-Suarez; Ziga Rotar; Maria Jose Santos; Anja Strangfeld; Patrick Verschueren; Delphine Sophie Courvoisier; Axel Finckh
Journal:  Ann Rheum Dis       Date:  2022-06-15       Impact factor: 27.973

  2 in total

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