ArticleGastroenterology and hepatology from bed to bench2025
Prospective insights into acute cholangitis: microbial patterns, resistance, risk factors, and outcomes.
Article in Gastroenterology and hepatology from bed to bench, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: This study investigated the microbiological profile, risk factors, antimicrobial resistance, and clinical outcomes in patients with acute cholangitis. Background: Acute cholangitis is a critical infection resulting from biliary obstruction, with risks of sepsis and high mortality. Methods: This prospective study included 105 patients undergoing biliary drainage for acute cholangitis via endoscopic retrograde cholangiopancreatography or percutaneous transhepatic drainage. Bile and blood cultures were collected. Antimicrobial susceptibility testing was performed. In-hospital outcomes were analysed. Results: Bacteriologically confirmed cholangitis was identified in nearly half of the patients, with Gram-negative bacteria predominating in both bile and blood cultures. Conclusion: -negative bacteria are the primary pathogens in acute cholangitis, and the high burden of multidrug resistance is linked to worse clinical outcomes, particularly in patients with malignant obstruction. Ongoing antibiotic stewardship and local resistance are crucial to optimize empiric therapy and improve patient outcomes.
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