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Outcomes of endoscopic ultrasound‐guided biliary drainage: A systematic review and meta‐analysis
Author(s) -
Hedjoudje A,
Sportes A,
Grabar S,
Zhang A,
Koch S,
Vuitton L,
Prat F
Publication year - 2019
Publication title -
ueg journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.667
H-Index - 35
eISSN - 2050-6414
pISSN - 2050-6406
DOI - 10.1177/2050640618808147
Subject(s) - medicine , endoscopic ultrasound , meta analysis , odds ratio , confidence interval , biliary drainage , adverse effect , randomized controlled trial , complication , surgery
Background Success and event rates of endoscopic ultrasound (EUS)‐guided biliary drainage vary with techniques, and results from different studies remain inconsistent. Objective We conducted a proportion meta‐analysis to evaluate the efficacy and safety of EUS‐guided biliary drainage and compare the outcomes of current procedures. Methods We searched MEDLINE, Embase, Cochrane and Web of knowledge to identify studies reporting technical success, clinical success and complication rates of EUS‐guided biliary drainage techniques to estimate their clinical and technical efficacy and safety. Results We identified 17 studies including a total of 686 patients. The overall clinical success and technical success rates were respectively 84% confidence interval (CI) 95% (80–88) and 96% CI 95% (93–98) for hepaticogastrostomy, and respectively 87% CI 95% (82–91) and 95% CI 95 (91–97) for choledochoduodenostomy. Reported adverse event rates were significantly higher ( p  = 0.01) for hepaticogastrostomy (29% CI 95% (24–34)) compared to choledochoduodenostomy (20% CI 95% (16–25)). Compared with hepaticogastrostomy, the pooled odds ratio for the complication rate of choledochoduodenostomy was 2.01 (1.25; 3.24) ( p  = 0.0042), suggesting that choledochoduodenostomy might be safer than hepaticogastrostomy. Conclusion The available literature suggests choledochoduodenostomy may be a safer approach compared to hepaticogastrostomy. Randomized controlled trials with sufficiently large cohorts are needed to compare techniques and confirm these findings.

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