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 in | Arthritis care & research (2010) Vol. 71; no. 11; pp. 1459 - 1472 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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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. |
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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 |
AuthorAffiliation_xml | – name: 2. Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE – 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 – name: 5. FORWARD, The National Databank for Rheumatic Diseases, Wichita, KS – name: 1. Division of Rheumatology & Immunology, University of Nebraska Medical Center (UNMC), Omaha, NE |
Author_xml | – sequence: 1 givenname: Tate M. surname: Johnson fullname: Johnson, Tate M. organization: University of Nebraska Medical Center and Veterans Affairs Nebraska‐Western Iowa Health Care System – sequence: 2 givenname: Kyle A. surname: Register fullname: Register, Kyle A. organization: University of Utah – sequence: 3 givenname: Cynthia M. surname: Schmidt fullname: Schmidt, Cynthia M. organization: University of Nebraska Medical Center – sequence: 4 givenname: James R. surname: O'Dell fullname: O'Dell, James R. organization: University of Nebraska Medical Center and Veterans Affairs Nebraska‐Western Iowa Health Care System – sequence: 5 givenname: Ted R. surname: Mikuls fullname: Mikuls, Ted R. organization: University of Nebraska Medical Center and Veterans Affairs Nebraska‐Western Iowa Health Care System – sequence: 6 givenname: Kaleb surname: Michaud fullname: Michaud, Kaleb organization: University of Nebraska Medical Center, Omaha, and FORWARD, The National Databank for Rheumatic Diseases – sequence: 7 givenname: Bryant R. orcidid: 0000-0002-9649-3588 surname: England fullname: England, Bryant R. email: Bryant.england@unmc.edu organization: University of Nebraska Medical Center and Veterans Affairs Nebraska‐Western Iowa Health Care System |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30320973$$D View this record in MEDLINE/PubMed |
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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... |
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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 |
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