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Cartilage oligomeric matrix protein, C-terminal cross-linking telopeptide of type II collagen, and matrix metalloproteinase-3 as biomarkers for knee and hip osteoarthritis (OA) diagnosis: a systematic review and meta-analysis
Open accessAbstract
Objective This study was design to examine the diagnostic performance of cartilage oligomeric matrix protein (COMP), C-terminal cross-linking telopeptide of type II collagen (CTX-II), and matrix metalloproteinase-3 (MMP-3) as biomarker for knee and hip OA. Methods Systematic search on multiple databases was completed in January 2018 using certain keywords. COMP, CTX-II, MMP-3 levels in knee and hip OA patients and healthy individuals were collected and calculated. Differences between subgroups were expressed as standardized mean differences (SMD). Subgroup analyses were performed to compare COMP, CTX-II, and MMP-3 performance between measuring sources, genders, large and small sample size and diagnostic criteria for OA patients. Results A moderate performance of COMP in distinguishing between knee (SMD: 0.68; 95% confidence intervals (CI): 0.43-0.93; P < 0.0001) or hip (SMD: 0.25; 95% CI, 0.10, 0.40; P = 0.0008) OA patients and controls were found. CTX-II showed a moderated standardised mean differences (SMD) of 0.48 (95% CI, 0.32, 0.64; P < 0.0001) in the detection of knee OA and a large SMD of 0.76 (95% CI, 0.09, 1.42; P = 0.03) in diagnosing hip OA. A small SMD of 0.32 (95% CI, -0.03, 0.67; P = 0.07) was found for MMP-3 performance and the results did not reach statistic significance. Progression study revealed potential effectiveness of serum COMP in predicting OA progression. Subgroup analysis showed that serum COMP and urinary CTX-II performed better in male than female. Study size and diagnostic criteria did not significantly influence the pooled SMD, but they might be the sources of heterogeneity among studies. Conclusion The overall results indicates that serum COMP and urinary CTX-II can distinguish between knee or hip OA patients and control subjects. Serum COMP is effective in predicting OA progression.Further researches with rigorous study design and a larger sample size are required to validate our findings.
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“C-terminal cross-linked telopeptides of type II collagen (CTX-II) and cartilage oligomeric matrix protein (COMP) are among the many biochemical consequences of cartilage breakdown [21].”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [21]
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Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
(2014) · Medical Entomology and Zoology · Cited by 17,633
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Radiological Assessment of Osteo-Arthrosis
Kellgren, J., & Lawrence, J. S. (1957) · Annals of the Rheumatic Diseases · doi:10.1136/ard.16.4.494 · Cited by 12,472
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Altman, R., Asch, E., Bloch, D., Bole, G., Borenstein, D., Brandt, K., Christy, W., Cooke, T. D., Greenwald, R., Hochberg, M., et al. (1986) · Arthritis & Rheumatism · doi:10.1002/art.1780290816 · Cited by 6,777
Lawrence, R. C., Felson, D. T., Helmick, C. G., Arnold, L. M., Choi, H. K., Deyo, R. A., Gabriel, S. E., Hirsch, R., Hochberg, M. C., Hunder, G. G., et al. (2007) · Arthritis & Rheumatism · doi:10.1002/art.23176 · Cited by 5,599
Cross, M., Smith, E. U. R., Hoy, D. G., Nolte, S., Ackerman, I. N., Fransen, M., Bridgett, L., Williams, S. R. M., Guillemin, F., Hill, C. L., et al. (2014) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2013-204763 · Cited by 3,510
Interpretation of random effects meta-analyses
Riley, R. D., Higgins, J. P. T., & Deeks, J. J. (2011) · BMJ · doi:10.1136/bmj.d549 · Cited by 2,884
Research works printed but not linked: 1
- March, 2014, Burden of disability due to musculoskeletal (MSK) disorders. Best practice & research, Clin Rheumatol, 28, 353
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Metadata
- Authors
- Hao, H. Q., Zhang, J. F., He, Q. Q., & Wang, Z.
- Affiliations
- Shanxi University of Traditional Chinese Medicine (CN)
- Shanxi Medical University (CN)
- Corresponding author
- Zhang, J.F.
- ORCID
- Venue
- Osteoarthritis and Cartilage
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 27
- Issue
- 5
- Pages
- 726-736
- ISSN
- 1063-4584 (ISSN-L)
- OpenAlex
- W2899068696
- Cited by
- 118
- References
- 88
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 13 · 2023: 32 · 2022: 14 · 2021: 10 · 2020: 17 · 2019: 6
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Osteoarthritis and Cartilage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81573245, 81102198)
- Shanxi provincial health Commission projects (2018GW09, 2014169)
- Topics
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Surgery › Hip disorders and treatments
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Keywords
- cartilage oligomeric matrix protein, matrix metalloproteinase-3, knee osteoarthritis, hip osteoarthritis, osteoarthritis biomarkers, osteoarthritis diagnosis, osteoarthritis progression, serum biomarkers, urinary biomarkers, diagnostic accuracy
- MeSH terms
- Humans, Peptide Fragments, Prognosis, Osteoarthritis, Hip, Biomarkers, Matrix Metalloproteinase 3, Osteoarthritis, Knee, Collagen Type II, Cartilage Oligomeric Matrix Protein
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