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Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy

OBJECTIVE: To determine accuracy of SAGES, ASGE and ESGE criteria for predicting presence of common bile duct (CBD) stones. METHODS: In a prospective study at Jinnah Hospital Lahore from March 2021 to February 2022, patients with suspected CBD stone were stratified in High risk (HR), intermediate ri...

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Autores principales: Yousaf, Muhammad Nadeem, Mahmud, Yasir, Sarwar, Shahid, Ahmad, Muhammad Nauman, Ahmad, Mahmood, Abbas, Ghulam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Professional Medical Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676605/
https://www.ncbi.nlm.nih.gov/pubmed/36415263
http://dx.doi.org/10.12669/pjms.38.8.6666
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author Yousaf, Muhammad Nadeem
Mahmud, Yasir
Sarwar, Shahid
Ahmad, Muhammad Nauman
Ahmad, Mahmood
Abbas, Ghulam
author_facet Yousaf, Muhammad Nadeem
Mahmud, Yasir
Sarwar, Shahid
Ahmad, Muhammad Nauman
Ahmad, Mahmood
Abbas, Ghulam
author_sort Yousaf, Muhammad Nadeem
collection PubMed
description OBJECTIVE: To determine accuracy of SAGES, ASGE and ESGE criteria for predicting presence of common bile duct (CBD) stones. METHODS: In a prospective study at Jinnah Hospital Lahore from March 2021 to February 2022, patients with suspected CBD stone were stratified in High risk (HR), intermediate risk (IR) and low risk (LR) for SAGES, ASGE and ESGE criteria. All patients underwent ERCP and risk strata were analyzed using SPSS 22® for sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. RESULTS: In 90 patients with mean age 45.18(±14.87) and male/female ratio 0.64(35/55), area Under Curve (AUC) for predicting CBD stones was 0.75, 0.81and 0.83 for HR and 0.28, 0.52 and 0.52 for IR group while it was 0.53, 0.81 and 0.53 for absence of stone in LR group of SAGES, ASGE and ESGE criteria respectively. HR groups had accuracy of 81.1%, 86.7% and 87.8% in predicting CBD stone while LR criteria had 68.8%, 86.7% and 68.1% accuracy in predicting absence of CBD stone for SAGES, ASGE and ESGE respectively. CONCLUSION: HR strata of SAGES, ASGE and ESGE scores have excellent accuracy in predicting CBD stones whereas IR and LR criteria are suboptimal for excluding CBD stones.
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spelling pubmed-96766052022-11-21 Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy Yousaf, Muhammad Nadeem Mahmud, Yasir Sarwar, Shahid Ahmad, Muhammad Nauman Ahmad, Mahmood Abbas, Ghulam Pak J Med Sci Original Article OBJECTIVE: To determine accuracy of SAGES, ASGE and ESGE criteria for predicting presence of common bile duct (CBD) stones. METHODS: In a prospective study at Jinnah Hospital Lahore from March 2021 to February 2022, patients with suspected CBD stone were stratified in High risk (HR), intermediate risk (IR) and low risk (LR) for SAGES, ASGE and ESGE criteria. All patients underwent ERCP and risk strata were analyzed using SPSS 22® for sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. RESULTS: In 90 patients with mean age 45.18(±14.87) and male/female ratio 0.64(35/55), area Under Curve (AUC) for predicting CBD stones was 0.75, 0.81and 0.83 for HR and 0.28, 0.52 and 0.52 for IR group while it was 0.53, 0.81 and 0.53 for absence of stone in LR group of SAGES, ASGE and ESGE criteria respectively. HR groups had accuracy of 81.1%, 86.7% and 87.8% in predicting CBD stone while LR criteria had 68.8%, 86.7% and 68.1% accuracy in predicting absence of CBD stone for SAGES, ASGE and ESGE respectively. CONCLUSION: HR strata of SAGES, ASGE and ESGE scores have excellent accuracy in predicting CBD stones whereas IR and LR criteria are suboptimal for excluding CBD stones. Professional Medical Publications 2022 /pmc/articles/PMC9676605/ /pubmed/36415263 http://dx.doi.org/10.12669/pjms.38.8.6666 Text en Copyright: © Pakistan Journal of Medical Sciences https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0 (https://creativecommons.org/licenses/by/3.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yousaf, Muhammad Nadeem
Mahmud, Yasir
Sarwar, Shahid
Ahmad, Muhammad Nauman
Ahmad, Mahmood
Abbas, Ghulam
Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy
title Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy
title_full Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy
title_fullStr Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy
title_full_unstemmed Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy
title_short Predicting common bile duct stones: Comparison of SAGES, ASGE and ESGE criteria for accuracy
title_sort predicting common bile duct stones: comparison of sages, asge and esge criteria for accuracy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676605/
https://www.ncbi.nlm.nih.gov/pubmed/36415263
http://dx.doi.org/10.12669/pjms.38.8.6666
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