Literature DB >> 26201948

Methodological Challenges When Comparing Demographic and Clinical Characteristics of International Observational Registries.

Suzanne M M Verstappen1, Johan Askling2, Niklas Berglind3, Stefan Franzen3, Thomas Frisell4, Christopher Garwood1, Jeffrey D Greenberg5, Marie Holmqvist4, Laura Horne6, Kathy Lampl6, Kaleb Michaud7, Fredrik Nyberg8, Dimitrios A Pappas9, George Reed10, Deborah P M Symmons11, Eiichi Tanaka12, Trung N Tran13, Hisashi Yamanaka12, Meilien Ho14.   

Abstract

OBJECTIVE: Comparisons of data from different registries can be helpful in understanding variations in many aspects of rheumatoid arthritis (RA). The study aim was to assess and improve the comparability of demographic, clinical, and comorbidity data from 5 international RA registries.
METHODS: Using predefined definitions, 2 subsets of patients (main cohort and subcohort) from 5 international observational registries (Consortium of Rheumatology Researchers of North America Registry [CORRONA], the Swedish Rheumatology Quality of Care Register [SRR], the Norfolk Arthritis Register [NOAR], the Institute of Rheumatology Rheumatoid Arthritis cohort [IORRA], and CORRONA International) were evaluated and compared. Patients ages >18 years with RA, and present in or recruited to the registry from January 1, 2000, were included in the main cohort. Patients from the main cohort with positive rheumatoid factor and/or erosive RA who had received ≥1 synthetic disease-modifying antirheumatic drug (DMARD), and switched to or added another DMARD, were included in the subcohort at time of treatment switch.
RESULTS: Age and sex distributions were fairly similar across the registries. The percentage of patients with a high Disease Activity Score in 28 joints score varied between main cohorts (17.5% IORRA, 18.9% CORRONA, 24.7% NOAR, 27.7% CORRONA International, and 36.8% SRR), with IORRA, CORRONA, and CORRONA International including more prevalent cases of RA; the differences were smaller for the subcohort. Prevalence of comorbidities varied across registries (e.g., coronary artery disease ranged from 1.5% in IORRA to 7.9% in SRR), partly due to the way comorbidity data were captured and general cultural differences; the pattern was similar for the subcohorts.
CONCLUSION: Despite different inclusion criteria for the individual RA registries, it is possible to improve the comparability and interpretability of differences across RA registries by applying well-defined cohort definitions.
© 2015, American College of Rheumatology.

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Year:  2015        PMID: 26201948     DOI: 10.1002/acr.22661

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  8 in total

Review 1.  The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.

Authors:  David Nickerson; Koray Atalag; Bernard de Bono; Jörg Geiger; Carole Goble; Susanne Hollmann; Joachim Lonien; Wolfgang Müller; Babette Regierer; Natalie J Stanford; Martin Golebiewski; Peter Hunter
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

2.  Treatment patterns and achievement of the treat-to-target goals in a real-life rheumatoid arthritis patient cohort: data from 1317 patients.

Authors:  Konstantinos Thomas; Argiro Lazarini; Evripidis Kaltsonoudis; Alexandros Drosos; Ioannis Papalopoulos; Prodromos Sidiropoulos; Panagiota Tsatsani; Sousana Gazi; Lina Pantazi; Kyriaki A Boki; Pelagia Katsimbri; Dimitrios Boumpas; Kalliopi Fragkiadaki; Maria Tektonidou; Petros P Sfikakis; Konstantina Karagianni; Lazaros I Sakkas; Eleftheria P Grika; Panagiotis G Vlachoyiannopoulos; Gerasimos Evangelatos; Alexios Iliopoulos; Theodoros Dimitroulas; Alexandros Garyfallos; Konstantinos Melissaropoulos; Panagiotis Georgiou; Maria Areti; Constantinos Georganas; Periklis Vounotrypidis; George D Kitas; Dimitrios Vassilopoulos
Journal:  Ther Adv Musculoskelet Dis       Date:  2020-09-28       Impact factor: 5.346

3.  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

4.  Chinese Registry of rheumatoid arthritis (CREDIT): II. prevalence and risk factors of major comorbidities in Chinese patients with rheumatoid arthritis.

Authors:  Shangyi Jin; Mengtao Li; Yongfei Fang; Qin Li; Ju Liu; Xinwang Duan; Yi Liu; Rui Wu; Xiaofei Shi; Yongfu Wang; Zhenyu Jiang; Yanhong Wang; Chen Yu; Qian Wang; Xinping Tian; Yan Zhao; Xiaofeng Zeng
Journal:  Arthritis Res Ther       Date:  2017-11-15       Impact factor: 5.156

5.  Infection rates in patients from five rheumatoid arthritis (RA) registries: contextualising an RA clinical trial programme.

Authors:  Hisashi Yamanaka; Johan Askling; Niklas Berglind; Stefan Franzen; Thomas Frisell; Christopher Garwood; Jeffrey D Greenberg; Meilien Ho; Marie Holmqvist; Laura Novelli Horne; Eisuke Inoue; Kaleb Michaud; Dimitrios A Pappas; George Reed; Deborah Symmons; Eiichi Tanaka; Trung N Tran; Suzanne M M Verstappen; Eveline Wesby-van Swaay; Fredrik Nyberg
Journal:  RMD Open       Date:  2017-10-10

6.  Utility of registries for post-marketing evaluation of medicines. A survey of Swedish health care quality registries from a regulatory perspective.

Authors:  Nils Feltelius; Rolf Gedeborg; Lennart Holm; Björn Zethelius
Journal:  Ups J Med Sci       Date:  2017-03-03       Impact factor: 2.384

7.  Use of a risk characterisation approach to contextualise the safety profile of new rheumatoid arthritis treatments: a case study using tofacitinib.

Authors:  Jeffrey R Curtis; Richard Zhang; Sriram Krishnaswami; Andrew Anisfeld; Yan Chen; Sander Strengholt; Connie Chen; Jamie Geier
Journal:  Clin Rheumatol       Date:  2016-07-28       Impact factor: 2.980

8.  Comorbidities in Anti-Cyclic Citrullinated Peptide Positive At-Risk Individuals Do Not Differ from Those Patients with Early Inflammatory Arthritis.

Authors:  Sarah Twigg; Elena Nikiphorou; Jackie L Nam; Laura Hunt; Kulveer Mankia; Peta Elizabeth Pentony; Jane E Freeston; Ai Lyn Tan; Paul Emery
Journal:  Front Med (Lausanne)       Date:  2018-02-19
  8 in total

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