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Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis
BACKGROUND: Periprosthetic joint infection (PJI) is considered to be one of the most challenging complications of joint replacement, which remains unpredictable. As a simple and emerging biomarker, calprotectin (CLP) has been considered to be useful in ruling out PJI in recent years. The purpose of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739654/ https://www.ncbi.nlm.nih.gov/pubmed/34991666 http://dx.doi.org/10.1186/s13018-021-02895-4 |
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author | Xing, Jisi Li, Jiahao Yan, Zijian Li, Yijin Liu, Xiaofang He, Lilei Xu, Ting Wang, Changbing Zhao, Lilian Jie, Ke |
author_facet | Xing, Jisi Li, Jiahao Yan, Zijian Li, Yijin Liu, Xiaofang He, Lilei Xu, Ting Wang, Changbing Zhao, Lilian Jie, Ke |
author_sort | Xing, Jisi |
collection | PubMed |
description | BACKGROUND: Periprosthetic joint infection (PJI) is considered to be one of the most challenging complications of joint replacement, which remains unpredictable. As a simple and emerging biomarker, calprotectin (CLP) has been considered to be useful in ruling out PJI in recent years. The purpose of this study was to investigate the accuracy and sensitivity of CLP in the diagnosis of PJI. METHODS: We searched and screened the publications from PubMed, Web of Science, EMBASE, and Cochrane Library from database establishment to June 2021. Subsequently, Stata version 16.0 software was used to combine the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), operating characteristic curve, and area under the curve (AUC). Heterogeneity across articles was evaluated by the I(2) statistics. Finally, sources of heterogeneity were detected by subgroup analysis based on study design, detection method, sample size, and cutoff values. RESULTS: A total of 7 studies were included in our study, comprising 525 patients. The pooled sensitivity, specificity, PLR, and NLR of CLP for PJI diagnosis were 0.94(95% CI 0.87–0.98), 0.93(95% CI 0.87–0.96), 13.65(95% CI 6.89–27.08), and 0.06(95% CI 0.02–0.15), respectively, while the DOR and AUC were 222.33(95% CI 52.52–941.11) and 0.98 (95% CI 0.96–0.99), respectively. CONCLUSION: Synovial CLP is a reliable biomarker and can be used as a diagnostic criterion for PJI in the future. However, the uncertainty resulting from the poor study numbers and sample sizes limit our ability to definitely draw conclusions on the basis of our study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13018-021-02895-4. |
format | Online Article Text |
id | pubmed-8739654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87396542022-01-07 Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis Xing, Jisi Li, Jiahao Yan, Zijian Li, Yijin Liu, Xiaofang He, Lilei Xu, Ting Wang, Changbing Zhao, Lilian Jie, Ke J Orthop Surg Res Research Article BACKGROUND: Periprosthetic joint infection (PJI) is considered to be one of the most challenging complications of joint replacement, which remains unpredictable. As a simple and emerging biomarker, calprotectin (CLP) has been considered to be useful in ruling out PJI in recent years. The purpose of this study was to investigate the accuracy and sensitivity of CLP in the diagnosis of PJI. METHODS: We searched and screened the publications from PubMed, Web of Science, EMBASE, and Cochrane Library from database establishment to June 2021. Subsequently, Stata version 16.0 software was used to combine the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), operating characteristic curve, and area under the curve (AUC). Heterogeneity across articles was evaluated by the I(2) statistics. Finally, sources of heterogeneity were detected by subgroup analysis based on study design, detection method, sample size, and cutoff values. RESULTS: A total of 7 studies were included in our study, comprising 525 patients. The pooled sensitivity, specificity, PLR, and NLR of CLP for PJI diagnosis were 0.94(95% CI 0.87–0.98), 0.93(95% CI 0.87–0.96), 13.65(95% CI 6.89–27.08), and 0.06(95% CI 0.02–0.15), respectively, while the DOR and AUC were 222.33(95% CI 52.52–941.11) and 0.98 (95% CI 0.96–0.99), respectively. CONCLUSION: Synovial CLP is a reliable biomarker and can be used as a diagnostic criterion for PJI in the future. However, the uncertainty resulting from the poor study numbers and sample sizes limit our ability to definitely draw conclusions on the basis of our study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13018-021-02895-4. BioMed Central 2022-01-06 /pmc/articles/PMC8739654/ /pubmed/34991666 http://dx.doi.org/10.1186/s13018-021-02895-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Xing, Jisi Li, Jiahao Yan, Zijian Li, Yijin Liu, Xiaofang He, Lilei Xu, Ting Wang, Changbing Zhao, Lilian Jie, Ke Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
title | Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
title_full | Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
title_fullStr | Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
title_full_unstemmed | Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
title_short | Diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
title_sort | diagnostic accuracy of calprotectin in periprosthetic joint infection: a diagnostic meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739654/ https://www.ncbi.nlm.nih.gov/pubmed/34991666 http://dx.doi.org/10.1186/s13018-021-02895-4 |
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