Evidence map›Paper›PMID 36415263›Full record

ArticlePakistan journal of medical sciences

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

Muhammad Nadeem Yousaf, Yasir Mahmud, Shahid Sarwar, Muhammad Nauman Ahmad, Mahmood Ahmad, Ghulam Abbas

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Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Muhammad Nadeem YousafDr. Muhammad Nadeem Yousaf, MBBS, FCPS (Med). Senior Registrar, Allama Iqbal Medical College Lahore/Jinnah Hospital Lahore, Lahore - Pakistan.
Yasir MahmudDr. Yasir Mahmud, MBBS, FCPS (Med). Consultant Physician, Allama Iqbal Medical College Lahore/Jinnah Hospital Lahore, Lahore - Pakistan.
Shahid SarwarDr. Shahid Sarwar, MBBS, FCPS (Med), FCPS (Gastroenterol), MCPS-HPE, FRCP (Edin). Professor of Medicine, Allama Iqbal Medical College Lahore/Jinnah Hospital Lahore, Lahore - Pakistan.
Muhammad Nauman AhmadDr. Muhammad Nauman Ahmad, MBBS. Post graduate Resident, Allama Iqbal Medical College Lahore/Jinnah Hospital Lahore, Lahore - Pakistan.
Mahmood AhmadDr. Mahmood Ahmad, MBBS, FCPS (Gastroenterol). Assistant Professor Gastroenterologist, Allama Iqbal Medical College Lahore/Jinnah Hospital Lahore, Lahore - Pakistan.
Ghulam AbbasDr. Ghulam Abbas, MBBS, FCPS (Gastroenterol). Assistant Professor Gastroenterology, Allama Iqbal Medical College Lahore/Jinnah Hospital Lahore, Lahore - Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ASGECommon bile duct stonesERCPESGERisk stratificationSAGES

Identifiers

PMID36415263
PMCPMC9676605

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