Diagnostic accuracy of updated risk assessment criteria and development of novel computational prediction models for patients with suspected choledocholithiasis-Reference-Cited by-同舟云学术

Diagnostic accuracy of updated risk assessment criteria and development of novel computational prediction models for patients with suspected choledocholithiasis

Published:2023-07-20 Issue:9 Volume:37 Page:7348-7357
ISSN:0930-2794
Container-title:Surgical Endoscopy
language:en
Short-container-title:Surg Endosc

Author:

Zhang Haoxiang,Gao Jiangping,Sun Zhen,Zhang Qingkai,Qi Bing,Jiang Xingchi,Li Shuang,Shang Dong

Funder

Liaoning Provincial Health Care Commission Chinese Medicine Clinical (Specialized) Department Capacity Building Project

Dalian High-level Talent Innovation Support Program

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00464-023-10087-w.pdf

Reference22 articles.

1. Okamoto K, Suzuki K, Takada T, Strasberg SM, Asbun HJ, Endo I et al (2018) Tokyo guidelines 2018: flowchart for the management of acute cholecystitis. J Hepatobiliary Pancreat Sci. https://doi.org/10.1002/jhbp.516

2. Williams E, Beckingham I, El Sayed G, Gurusamy K, Sturgess R, Webster G et al (2017) Updated guideline on the management of common bile duct stones (CBDS). Gut. https://doi.org/10.1136/gutjnl-2016-312317

3. Cox MR, Budge JPO, Eslick GD (2015) Timing and nature of presentation of unsuspected retained common bile duct stones after laparoscopic cholecystectomy: a retrospective study. Surg Endosc. https://doi.org/10.1007/s00464-014-3907-x

4. Maple JT, Ben-Menachem T, Anderson MA, Appalaneni V, Banerjee S, Cash BD et al (2010) The role of endoscopy in the evaluation of suspected choledocholithiasis. Gastrointest Endosc. https://doi.org/10.1016/j.gie.2009.09.041

5. Buxbaum JL, Abbas Fehmi SM, Sultan S, Fishman DS, Qumseya BJ, Cortessis VK et al (2019) ASGE guideline on the role of endoscopy in the evaluation and management of choledocholithiasis. Gastrointest Endosc. https://doi.org/10.1016/j.gie.2018.10.001

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