Evidence map›Paper›PMID 40523765›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2025

Diagnostic yield and safety of pancreatic cystic lesions: A comparison between EUS

Xiaoyu Yu, Mingmei Ye, Yawen Ni, Qianqi Liu, Pan Gong, Yuanyuan Huang, Xiaoyan Wang, Li Tian

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaoyu YuDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013. yuxiaoyu232@163.com.
Mingmei YeDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013. 17320071569@163.com.
Yawen NiNanchang University Queen Mary School, Nanchang 330027, China.
Qianqi LiuDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013.
Pan GongDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013.
Yuanyuan HuangDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013.
Xiaoyan WangDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013.
Li TianDepartment of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha 410013. tianlixy3@csu.edu.cn.

Funding

the Special Project for the Construction of Innovative Provinces in Hunan Province, China 2020SK2013This is an open access article under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International CC BY-NC-ND 4.0 and //creativecommons.org/licenses/by-nc-nd/4.0/
6 · The paper itself

Abstract

objectivesIn recent years, the incidence and detection rate of pancreatic cystic lesions (PCLs) have increased significantly. Endoscopic ultrasound (EUS) plays an indispensable role in the diagnosis and differential diagnosis of PCLs. However, evidence comparing the diagnostic performance of EUS-guided fine-needle aspiration (EUS-FNA) and fine-needle biopsy (FNB) remains limited. This study aims to compare the diagnostic yield, adequacy of tissue acquisition, and safety between EUS-FNA and EUS-FNB in evaluating PCLs to inform clinical practice.

methodsA retrospective review was conducted on patients with PCLs who underwent either EUS-FNA or EUS-FNB between January 2014 and August 2021. The diagnostic yield, tissue acquisition adequacy, and incidence of adverse events were compared between the 2 groups.

resultsA total of 90 patients with PCLs were included (52 in the FNA group and 38 in the FNB group). The diagnostic yield was similar between the FNA and FNB groups (94.2% vs 94.7%,

conclusionsBoth EUS-FNA and EUS-FNB demonstrate equally high diagnostic yields and tissue adequacy in PCLs, with excellent safety profiles. Both methods are safe and effective diagnostic tools for evaluating PCLs.

Indexed as

Endoscopic Ultrasound-Guided Fine Needle AspirationEndosonographyPancreatic CystPancreatic NeoplasmsAdultAgedBiopsy, Fine-NeedleDiagnosis, DifferentialFemaleHumansMaleMiddle AgedPancreasRetrospective Studiesdiagnostic yieldendoscopic ultrasound-guided fine-needle aspirationendoscopic ultrasound-guided fine-needle biopsypancreatic cystic lesionssafety

Identifiers

PMID40523765
PMCPMC13345978

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.