兰州大学循证社会科学交叉创新实验室 Innovation Laboratory of Evidence-based Social Sciences,Lanzhou University

An umbrella review of meta-analyses on diagnostic accuracy of C-reactive protein

Ge, Long;Li, Jiang
2022-11-17
Background: Multiple studies and meta-analyses have reported the diagnostic value of C-reactive protein (CRP) in several diseases. However, the precision, and influence of potential bias regarding the diagnostic values of existing evidence may have implications for clinical practice. Methods: We performed an umbrella review of diagnostic test accuracy studies of CRP for diseases by searching PubMed, Embase, China National Knowledge Infrastructure, and WanFang databases up to March 7, 2021. Five independent reviewers evaluated eligibility, extracted data, and assessed methodological quality. We descriptively analyzed the diagnostic accuracy of CRP for multiple diseases, heterogeneity between studies, and publication bias. Results: Seventy-four meta-analyses were included, with 13 diseases classified according to the International Classification of Diseases-11 (ICD-11). The methodological quality of the included meta-analyses was mostly low, with only 16 meta-analyses rated as moderate or high, including seven diseases classified by ICD-11. CRP had a relatively greater diagnostic accuracy for two of these diseases. For postoperative infectious complications after bariatric surgery, sensitivity and specificity were 0.81 (0.34-1) and 0.91 (0.73-1), respectively. For anastomotic leakage after colorectal surgery, sensitivity and specificity were 0.95 (0.75-0.99) and 0.95 (0.75-0.99), respectively. Conclusions: The diagnostic accuracy of CRP for multiple diseases has been extensively studied; however, most studies have low methodological quality. Evidence indicates that CRP has a relatively greater diagnostic accuracy for inflammation and infection diseases, especially for postoperative infectious complications after bariatric surgery and anastomotic leakage after colorectal surgery.
INTERNATIONAL JOURNAL OF SURGERY
卷号:104
ISSN:1743-9191|收录类别:SCIE
DOI
10.1016/j.ijsu.2022.106788. Epub 2022 Aug 2.
EISSN
1743-9159
出版日期
2022-11-17
相关链接
https://linkinghub.elsevier.com/retrieve/pii/S1743919122005659
语种
英文
国家
中国
学科领域
循证医学
WOS学科分类
Surgery
被引频次(WOS)
3
来源机构
Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China.
研究类型
系统评价再评价
关键词
SYSTEMATIC REVIEWS PREDICTIVE-VALUE COMPLICATIONS SURGERY LEAK BIAS CRP