Literature DB >> 29301783

2017 EULAR recommendations for a core data set to support observational research and clinical care in rheumatoid arthritis.

Helga Radner1, Katerina Chatzidionysiou2,3, Elena Nikiphorou4, Laure Gossec5,6, Kimme L Hyrich7, Condruta Zabalan8, Yvonne van Eijk-Hustings9, Paula R Williamson10, Andra Balanescu11, Gerd R Burmester12, Loreto Carmona13, Maxime Dougados14, Axel Finckh15, Glenn Haugeberg16,17, Merete Lund Hetland18,19, Susan Oliver20, Duncan Porter21, Karim Raza22,23,24, Patrick Ryan25,26, Maria Jose Santos27, Annette van der Helm-van Mil28,29, Piet van Riel30, Gabrielle von Krause31, Jakub Zavada32,33, William G Dixon34, Johan Askling2,3.   

Abstract

Personalised medicine, new discoveries and studies on rare exposures or outcomes require large samples that are increasingly difficult for any single investigator to obtain. Collaborative work is limited by heterogeneities, both what is being collected and how it is defined. To develop a core set for data collection in rheumatoid arthritis (RA) research which (1) allows harmonisation of data collection in future observational studies, (2) acts as a common data model against which existing databases can be mapped and (3) serves as a template for standardised data collection in routine clinical practice to support generation of research-quality data. A multistep, international multistakeholder consensus process was carried out involving voting via online surveys and two face-to-face meetings. A core set of 21 items ('what to collect') and their instruments ('how to collect') was agreed: age, gender, disease duration, diagnosis of RA, body mass index, smoking, swollen/tender joints, patient/evaluator global, pain, quality of life, function, composite scores, acute phase reactants, serology, structural damage, treatment and comorbidities. The core set should facilitate collaborative research, allow for comparisons across studies and harmonise future data from clinical practice via electronic medical record systems. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  outcomes research; quality indicators; rheumatoid arthritis

Mesh:

Year:  2018        PMID: 29301783     DOI: 10.1136/annrheumdis-2017-212256

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  18 in total

1.  Reduced skeletal muscle independently predicts 1-year aggravated joint destruction in patients with rheumatoid arthritis.

Authors:  Jian-Zi Lin; Yin Liu; Jian-Da Ma; Ying-Qian Mo; Chu-Tao Chen; Le-Feng Chen; Qian-Hua Li; Ze-Hong Yang; Dong-Hui Zheng; Li Ling; Pierre Miossec; Lie Dai
Journal:  Ther Adv Musculoskelet Dis       Date:  2020-08-23       Impact factor: 5.346

2.  Remission rate and predictors of remission in patients with rheumatoid arthritis under treat-to-target strategy in real-world studies: a systematic review and meta-analysis.

Authors:  Chen Yu; Shangyi Jin; Yanhong Wang; Nan Jiang; Chanyuan Wu; Qian Wang; Xinping Tian; Mengtao Li; Xiaofeng Zeng
Journal:  Clin Rheumatol       Date:  2018-10-19       Impact factor: 2.980

3.  A pilot study assessing the similarity between core outcome sets and outcomes included in health technology assessments.

Authors:  Peter Cox; Paula R Williamson; Susanna Dodd
Journal:  F1000Res       Date:  2021-10-25

4.  Cognitive behavioural therapy for insomnia in patients with rheumatoid arthritis: protocol for the randomised, single-blinded, parallel-group Sleep-RA trial.

Authors:  K M Latocha; K B Løppenthin; M Østergaard; P J Jennum; R Christensen; M Hetland; H Røgind; T Lundbak; J Midtgaard; B A Esbensen
Journal:  Trials       Date:  2020-05-29       Impact factor: 2.279

5.  Presence of hepatitis B virus in synovium and its clinical significance in rheumatoid arthritis.

Authors:  Yu-Lan Chen; Jun Jing; Ying-Qian Mo; Jian-Da Ma; Li-Juan Yang; Le-Feng Chen; Xiang Zhang; Tao Yan; Dong-Hui Zheng; Frank Pessler; Lie Dai
Journal:  Arthritis Res Ther       Date:  2018-06-19       Impact factor: 5.156

6.  Depression: a common comorbidity in women with rheumatoid arthritis-results from an Austrian cross-sectional study.

Authors:  Judith Sautner; Rudolf Puchner; Alois Alkin; Herwig Pieringer
Journal:  BMJ Open       Date:  2020-02-02       Impact factor: 2.692

7.  European Network of Pregnancy Registers in Rheumatology (EuNeP)-an overview of procedures and data collection.

Authors:  Yvette Meissner; Anja Strangfeld; Nathalie Costedoat-Chalumeau; Frauke Förger; Doreen Goll; Anna Molto; Rebecca Özdemir; Marianne Wallenius; Rebecca Fischer-Betz
Journal:  Arthritis Res Ther       Date:  2019-11-14       Impact factor: 5.156

8.  Myopenia is associated with joint damage in rheumatoid arthritis: a cross-sectional study.

Authors:  Jian-Zi Lin; Jin-Jian Liang; Jian-Da Ma; Qian-Hua Li; Ying-Qian Mo; Wan-Mei Cheng; Xiao-Ling He; Nan Li; Ming-Hui Cao; Dan Xu; Lie Dai
Journal:  J Cachexia Sarcopenia Muscle       Date:  2019-01-30       Impact factor: 12.910

9.  Prognostic value of comorbidity indices and lung diseases in early rheumatoid arthritis: a UK population-based study.

Authors:  Elena Nikiphorou; Simon de Lusignan; Christian Mallen; Jacqueline Roberts; Kaivan Khavandi; Gabriella Bedarida; Christopher D Buckley; James Galloway; Karim Raza
Journal:  Rheumatology (Oxford)       Date:  2020-06-01       Impact factor: 7.580

10.  Routine Assessment of Patient Index Data 3 (RAPID3) alone is insufficient to monitor disease activity in rheumatoid arthritis in clinical practice.

Authors:  Niels W Boone; Alexandre Sepriano; Paul-Hugo van der Kuy; Rob Janknegt; Ralph Peeters; Robert B M Landewé
Journal:  RMD Open       Date:  2019-11-28
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