研究目的
To evaluate the diagnostic value of sonicate fluid in blood culture bottles (SF-BCB) for periprosthetic joint infection (PJI) through meta-analysis.
研究成果
SF-BCB is a valuable microbiological diagnostic method for PJI with high sensitivity and specificity, particularly beneficial for patients who have received prior antibiotic treatment. It outperforms conventional tissue culture, sonicate fluid culture, and other methods in detecting pathogens.
研究不足
Only 4 studies with a small number of cases were included; some patients received antibiotic treatment before surgery, which could affect culture results; diagnostic standards varied across studies; sonication methods were not standardized (e.g., with or without vortexing and centrifugation).
1:Experimental Design and Method Selection:
A meta-analysis was conducted to evaluate the diagnostic accuracy of SF-BCB for PJI. The design involved systematic literature search, screening based on inclusion criteria, quality assessment using QUADAS-2 tool, and statistical analysis with Meta-Disc software.
2:Sample Selection and Data Sources:
English publications from PubMed, Medline, and Web of Science up to April 30, 2018, were searched using MeSH terms and keywords related to PJI, sonication, and blood culture bottles. References from eligible studies and Google Scholar were also reviewed. Inclusion criteria required studies based on MSIS, EBJIS, or IDSA diagnostic criteria, clear true-positive, true-negative, false-positive, false-negative values, human studies in English, and at least 15 cases per study.
3:List of Experimental Equipment and Materials:
Not specified in the paper; the meta-analysis relies on data from existing studies, so specific equipment is not detailed.
4:Experimental Procedures and Operational Workflow:
Two reviewers independently screened studies, extracted data on sensitivity, specificity, and other metrics, and resolved disagreements with a third reviewer. Statistical analysis included calculating pooled sensitivity, specificity, PLR, NLR, DOR, and AUC using fixed or random effects models based on heterogeneity (I2 statistic).
5:Data Analysis Methods:
Meta-Disc software (version 1.4) was used for statistical analysis, including forest plots and SROC curves. Heterogeneity was assessed using I2 and χ2 tests.
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