Correlation of the Multi‐Biomarker Disease Activity Score With Rheumatoid Arthritis Disease Activity Measures: A Systematic Review and Meta‐Analysis

Objective There are conflicting reports on the validity of the multi‐biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease activity. Our aim was to perform a systematic review of the MBDA and a meta‐analysis of the correlation between the MBDA and other RA disease a...

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Published inArthritis care & research (2010) Vol. 71; no. 11; pp. 1459 - 1472
Main Authors Johnson, Tate M., Register, Kyle A., Schmidt, Cynthia M., O'Dell, James R., Mikuls, Ted R., Michaud, Kaleb, England, Bryant R.
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.11.2019
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Abstract Objective There are conflicting reports on the validity of the multi‐biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease activity. Our aim was to perform a systematic review of the MBDA and a meta‐analysis of the correlation between the MBDA and other RA disease activity measures. Methods A systematic review was performed by searching Medline, Embase, Scopus, Google Scholar, and the Cochrane Library from inception to March 7, 2017. Study details, MBDA performance, and study quality were assessed by independent reviewers. Correlations of the MBDA with composite RA disease activity measures were pooled using random‐effects meta‐analyses. Results A total of 22 studies were identified in the systematic review, of which 8 (n = 3,242 assays) reported correlations of the MBDA with RA disease activity measures. Pooling results from these 8 studies in the meta‐analysis, the MBDA demonstrated modest correlations with the Disease Activity Score in 28 joints using the C‐reactive protein level (DAS28‐CRP; r = 0.41, 95% confidence interval [95% CI] 0.36–0.46) and the Disease Activity Score using the erythrocyte sedimentation rate (DAS28‐ESR; r = 0.48, 95% CI 0.38–0.58), with weaker correlations observed with the Simplified Disease Activity Index (SDAI; r = 0.35, 95% CI 0.26–0.43), Clinical Disease Activity Index (CDAI; r = 0.26, 95% CI 0.19–0.33), and Routine Assessment of Patient Index Data 3 (RAPID3; r = 0.23, 95% CI 0.19–0.27). Correlations between change in MBDA and change in disease activity measures ranged from r = 0.53 for the DAS28‐ESR to r = 0.26 for the CDAI. Conclusion The MBDA demonstrates moderate convergent validity with the DAS28‐CRP and the DAS28‐ESR but weaker correlations with the SDAI, CDAI, and RAPID3. While it appears to complement existing RA disease activity measures, further assessment of the performance characteristics of the MBDA is warranted.
AbstractList Objective There are conflicting reports on the validity of the multi‐biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease activity. Our aim was to perform a systematic review of the MBDA and a meta‐analysis of the correlation between the MBDA and other RA disease activity measures. Methods A systematic review was performed by searching Medline, Embase, Scopus, Google Scholar, and the Cochrane Library from inception to March 7, 2017. Study details, MBDA performance, and study quality were assessed by independent reviewers. Correlations of the MBDA with composite RA disease activity measures were pooled using random‐effects meta‐analyses. Results A total of 22 studies were identified in the systematic review, of which 8 (n = 3,242 assays) reported correlations of the MBDA with RA disease activity measures. Pooling results from these 8 studies in the meta‐analysis, the MBDA demonstrated modest correlations with the Disease Activity Score in 28 joints using the C‐reactive protein level (DAS28‐CRP; r = 0.41, 95% confidence interval [95% CI] 0.36–0.46) and the Disease Activity Score using the erythrocyte sedimentation rate (DAS28‐ESR; r = 0.48, 95% CI 0.38–0.58), with weaker correlations observed with the Simplified Disease Activity Index (SDAI; r = 0.35, 95% CI 0.26–0.43), Clinical Disease Activity Index (CDAI; r = 0.26, 95% CI 0.19–0.33), and Routine Assessment of Patient Index Data 3 (RAPID3; r = 0.23, 95% CI 0.19–0.27). Correlations between change in MBDA and change in disease activity measures ranged from r = 0.53 for the DAS28‐ESR to r = 0.26 for the CDAI. Conclusion The MBDA demonstrates moderate convergent validity with the DAS28‐CRP and the DAS28‐ESR but weaker correlations with the SDAI, CDAI, and RAPID3. While it appears to complement existing RA disease activity measures, further assessment of the performance characteristics of the MBDA is warranted.
ObjectiveThere are conflicting reports on the validity of the multi‐biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease activity. Our aim was to perform a systematic review of the MBDA and a meta‐analysis of the correlation between the MBDA and other RA disease activity measures.MethodsA systematic review was performed by searching Medline, Embase, Scopus, Google Scholar, and the Cochrane Library from inception to March 7, 2017. Study details, MBDA performance, and study quality were assessed by independent reviewers. Correlations of the MBDA with composite RA disease activity measures were pooled using random‐effects meta‐analyses.ResultsA total of 22 studies were identified in the systematic review, of which 8 (n = 3,242 assays) reported correlations of the MBDA with RA disease activity measures. Pooling results from these 8 studies in the meta‐analysis, the MBDA demonstrated modest correlations with the Disease Activity Score in 28 joints using the C‐reactive protein level (DAS28‐CRP; r = 0.41, 95% confidence interval [95% CI] 0.36–0.46) and the Disease Activity Score using the erythrocyte sedimentation rate (DAS28‐ESR; r = 0.48, 95% CI 0.38–0.58), with weaker correlations observed with the Simplified Disease Activity Index (SDAI; r = 0.35, 95% CI 0.26–0.43), Clinical Disease Activity Index (CDAI; r = 0.26, 95% CI 0.19–0.33), and Routine Assessment of Patient Index Data 3 (RAPID3; r = 0.23, 95% CI 0.19–0.27). Correlations between change in MBDA and change in disease activity measures ranged from r = 0.53 for the DAS28‐ESR to r = 0.26 for the CDAI.ConclusionThe MBDA demonstrates moderate convergent validity with the DAS28‐CRP and the DAS28‐ESR but weaker correlations with the SDAI, CDAI, and RAPID3. While it appears to complement existing RA disease activity measures, further assessment of the performance characteristics of the MBDA is warranted.
There are conflicting reports on the validity of the multi-biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease activity. Our aim was to perform a systematic review of the MBDA and a meta-analysis of the correlation between the MBDA and other RA disease activity measures. A systematic review was performed by searching Medline, Embase, Scopus, Google Scholar, and the Cochrane Library from inception to March 7, 2017. Study details, MBDA performance, and study quality were assessed by independent reviewers. Correlations of the MBDA with composite RA disease activity measures were pooled using random-effects meta-analyses. A total of 22 studies were identified in the systematic review, of which 8 (n = 3,242 assays) reported correlations of the MBDA with RA disease activity measures. Pooling results from these 8 studies in the meta-analysis, the MBDA demonstrated modest correlations with the Disease Activity Score in 28 joints using the C-reactive protein level (DAS28-CRP; r = 0.41, 95% confidence interval [95% CI] 0.36-0.46) and the Disease Activity Score using the erythrocyte sedimentation rate (DAS28-ESR; r = 0.48, 95% CI 0.38-0.58), with weaker correlations observed with the Simplified Disease Activity Index (SDAI; r = 0.35, 95% CI 0.26-0.43), Clinical Disease Activity Index (CDAI; r = 0.26, 95% CI 0.19-0.33), and Routine Assessment of Patient Index Data 3 (RAPID3; r = 0.23, 95% CI 0.19-0.27). Correlations between change in MBDA and change in disease activity measures ranged from r = 0.53 for the DAS28-ESR to r = 0.26 for the CDAI. The MBDA demonstrates moderate convergent validity with the DAS28-CRP and the DAS28-ESR but weaker correlations with the SDAI, CDAI, and RAPID3. While it appears to complement existing RA disease activity measures, further assessment of the performance characteristics of the MBDA is warranted.
Author Schmidt, Cynthia M.
O'Dell, James R.
Mikuls, Ted R.
Register, Kyle A.
Michaud, Kaleb
Johnson, Tate M.
England, Bryant R.
AuthorAffiliation 2. Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE
1. Division of Rheumatology & Immunology, University of Nebraska Medical Center (UNMC), Omaha, NE
5. FORWARD, The National Databank for Rheumatic Diseases, Wichita, KS
3. Division of Rheumatology, University of Utah, Salt Lake City, UT
4. McGoogan Library of Medicine, University of Nebraska Medical Center, Omaha, NE
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– name: 4. McGoogan Library of Medicine, University of Nebraska Medical Center, Omaha, NE
– name: 3. Division of Rheumatology, University of Utah, Salt Lake City, UT
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Snippet Objective There are conflicting reports on the validity of the multi‐biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease...
There are conflicting reports on the validity of the multi-biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease activity....
ObjectiveThere are conflicting reports on the validity of the multi‐biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease...
OBJECTIVEThere are conflicting reports on the validity of the multi-biomarker disease activity (MBDA) score for assessing rheumatoid arthritis (RA) disease...
SourceID pubmedcentral
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StartPage 1459
SubjectTerms Adult
Aged
Arthritis, Rheumatoid - blood
Biomarkers
Biomarkers - blood
Blood Sedimentation
Disease Progression
Erythrocyte sedimentation rate
Female
Health risk assessment
Humans
Joint diseases
Male
Meta-analysis
Middle Aged
Rheumatoid arthritis
Severity of Illness Index
Systematic review
Title Correlation of the Multi‐Biomarker Disease Activity Score With Rheumatoid Arthritis Disease Activity Measures: A Systematic Review and Meta‐Analysis
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Facr.23785
https://www.ncbi.nlm.nih.gov/pubmed/30320973
https://www.proquest.com/docview/2309649428
https://search.proquest.com/docview/2120189655
https://pubmed.ncbi.nlm.nih.gov/PMC6465168
Volume 71
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