The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Inflammatory Blood Laboratory Levels as Markers of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis
Abstract
BACKGROUND: The preoperative diagnosis of prosthetic joint infection in patients with a total hip or knee arthroplasty may rely in part on the use of systemic inflammation markers. These markers have unclear accuracy. The objective of this review was to summarize the evidence on the accuracy of the peripheral white blood-cell count, the erythrocyte sedimentation rate, serum C-reactive protein levels, and serum interleukin-6 levels for the diagnosis of prosthetic joint infection. METHODS: We searched electronic databases (MEDLINE, EMBASE, Cochrane Library, Web of Science, and Scopus) from 1950 through 2009. Eligible studies evaluated the accuracy of white blood-cell count, erythrocyte sedimentation rate, serum C-reactive protein level, and serum interleukin-6 level for the intraoperative diagnosis of prosthetic joint infection at the time of revision arthroplasty. Two reviewers working independently extracted study characteristics and data to estimate the diagnostic odds ratio and 95% confidence interval for each result. RESULTS: We included thirty eligible studies that included 3909 revision total hip or knee arthroplasties. The prevalence of prosthetic joint infection was 32.5% (1270 of 3909). The accuracy of assessed inflammation markers, represented with a diagnostic odds ratio, was 314.7 (95% confidence interval, 113.0 to 876.8) for interleukin-6 (three studies), 13.1 (95% confidence interval, 7.9 to 21.7) for C-reactive protein level (twenty-three studies), 7.2 (95% confidence interval, 4.7 to 10.9) for erythrocyte sedimentation rate (twenty-five studies), and 4.4 (95% confidence interval, 2.9 to 6.6) for white blood-cell count (fifteen studies). CONCLUSIONS: The diagnostic accuracy for prosthetic joint infection was best for interleukin-6, followed by C-reactive protein level, erythrocyte sedimentation rate, and white blood-cell count. Given the limited numbers of studies assessing interleukin-6 levels, further investigations assessing the accuracy of interleukin-6 for the diagnosis of prosthetic joint infection are warranted.
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Whiting, P., Rutjes, A. W., Reitsma, J. B., Bossuyt, P. M., & Kleijnen, J. (2003) · BMC Medical Research Methodology · doi:10.1186/1471-2288-3-25 · Cited by 3,592
The diagnostic odds ratio: a single indicator of test performance
Glas, A. S., Lijmer, J. G., Prins, M. H., Bonsel, G. J., & Bossuyt, P. M. M. (2003) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(03)00177-x · Cited by 2,261
Meta-DiSc: a software for meta-analysis of test accuracy data
Zamora, J., Abraira, V., Muriel, A., Khan, K., & Coomarasamy, A. (2006) · BMC Medical Research Methodology · doi:10.1186/1471-2288-6-31 · Cited by 1,883
Conducting systematic reviews of diagnostic studies: didactic guidelines
Devillé, W. L., Buntinx, F., Bouter, L. M., Montori, V. M., de Vet, H. C., van der Windt, D. A., & Bezemer, P. D. (2002) · BMC Medical Research Methodology · doi:10.1186/1471-2288-2-9 · Cited by 960
DI CESARE, P. E., CHANG, E., PRESTON, C. F., & LIU, C.-J. (2005) · The Journal of Bone and Joint Surgery-American Volume · doi:10.2106/00004623-200509000-00003 · Cited by 255
Fink, B., Makowiak, C., Fuerst, M., Berger, I., Schäfer, P., & Frommelt, L. (2008) · The Journal of Bone and Joint Surgery. British volume · doi:10.1302/0301-620x.90b7.20417 · Cited by 241
Accuracy of Diagnostic Tests for Cushing’s Syndrome: A Systematic Review and Metaanalyses
Elamin, M. B., Murad, M. H., Mullan, R., Erickson, D., Harris, K., Nadeem, S., Ennis, R., Erwin, P. J., & Montori, V. M. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0139 · Cited by 222
Self-citationA Simple, Cost-Effective Screening Protocol to Rule Out Periprosthetic Infection
Austin, M. S., Ghanem, E. S., Joshi, A., Lindsay, A. D., & Parvizi, J. (2008) · The Journal of Arthroplasty · doi:10.1016/j.arth.2007.09.005 · Cited by 127
Cited by
Roy, R., Tiwari, M., Donelli, G., & Tiwari, V. (2018) · Virulence · doi:10.1080/21505594.2017.1313372 · Cited by 1,523
Diagnosing Periprosthetic Joint Infection: Has the Era of the Biomarker Arrived?
Deirmengian, C., Kardos, K., Kilmartin, P., Cameron, A., Schiller, K., & Parvizi, J. (2014) · Clinical Orthopaedics & Related Research · doi:10.1007/s11999-014-3543-8 · Cited by 383
Metadata
- Authors
- Berbari, E., Mabry, T., Tsaras, G., Spangehl, M., Erwin, P. J., Murad, M. H., Steckelberg, J., & Osmon, D.
- Venue
- Journal of Bone and Joint Surgery
- Published
- 2010-09-01
- Volume
- 92
- Issue
- 11
- Pages
- 2102-2109
- ISSN
- 0021-9355 (ISSN-L)
- 1535-1386
- OpenAlex
- W1947970674
- Cited by
- 416
- References
- 9
- FWCI
- 19.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- Berbari, E., Mabry, T., Tsaras, G., Spangehl, M., Erwin, P. J., Murad, M. H., Steckelberg, J., & Osmon, D. (2010). Inflammatory Blood Laboratory Levels as Markers of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis. Journal of Bone and Joint Surgery. https://doi.org/10.2106/jbjs.i.01199
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