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Meta-Analysis
. 2022 Jul 1;56(6):e283-e292.
doi: 10.1097/MCG.0000000000001680. Epub 2022 Feb 28.

Efficacy, Feasibility, and Safety of Endoscopic Ultrasound-guided Fine-needle Biopsy for the Diagnosis of Gastrointestinal Subepithelial Lesions: A Systematic Review and Meta-analysis

Affiliations
Meta-Analysis

Efficacy, Feasibility, and Safety of Endoscopic Ultrasound-guided Fine-needle Biopsy for the Diagnosis of Gastrointestinal Subepithelial Lesions: A Systematic Review and Meta-analysis

Yandi Tan et al. J Clin Gastroenterol. .

Abstract

Background: Endoscopic ultrasound (EUS) fine-needle biopsy (FNB) has become an efficient method for diagnosing gastrointestinal (GI) subepithelial lesions (SELs). However, recent guidelines have not regarded FNB as the primary strategy for diagnosing GI SELs. We performed this study to systematically measure the efficacy, feasibility, and safety of EUS-FNB in diagnosing GI SELs.

Materials and methods: Relevant studies were searched in PubMed and EMBASE and published after January 2015 were included. The overall rates of diagnostic yield, technical success, and adverse events were calculated as outcome measures. The Jadad scale and the Newcastle-Ottawa scale were used to evaluate the quality of the trials, funnel plots and Egger's test were used to measure publication bias, and sensitivity and subgroup analyses were performed to explore the variance of heterogeneity and sensitivity, respectively.

Results: Sixteen studies analyzing 969 patients between 2015 and 2020 were included. Studies showed little change in sensitivity, and 13 were considered high quality. A certain degree of publication bias existed in the diagnostic accuracy rate. The overall rates of diagnostic yield, technical success, and adverse events were [85.69% (95% confidence interval (CI): 82.73-88.22, I2=41.8%), 98.83% (95% CI: 96.73-99.97, I2=54.3%), and 1.26% (95% CI: 0.35-2.54, I2=0.0%)]. No clinical influencing factors were identified in the subgroup analysis.

Conclusions: EUS-FNB is a promising technology with a relatively superior diagnostic yield, technical success, and security, which is an optimal option for the diagnosis of SELs.

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