Evidence map›Paper›PMID 38423346›Full record

SynthesisClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2024

Global Prevalence of Pancreatic Cystic Lesions in the General Population on Magnetic Resonance Imaging: A Systematic Review and Meta-analysis.

Ana Vilela, Elit Quingalahua, Alejandra Vargas, Fadi Hawa, Carol Shannon, Eileen S Carpenter, Jiaqi Shi, Somashekar G Krishna, Un-Jung Lee, Jean M Chalhoub and 1 more

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07543263 (An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography), which is not on this map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
12.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

NCT07543263 recruitingnot on this mapstarted 2026, after this paper: background citation

An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography

TypeobservationalSponsorQilu Hospital of Shandong UniversityRan2026 to 2028Enrolled176ConditionsPancreatic Cystic Lesion (PCL)ArmsiEUS-PCL(intelligent endoscopic ultrasound system- pancreatic cystic lesion)
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Ana VilelaDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, Virginia.
Elit QuingalahuaDivision of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.
Alejandra VargasDepartment of Internal Medicine, Eastern Virginia Medical School, Norfolk, Virginia.
Fadi HawaDivision of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan.
Carol ShannonTaubman Health Sciences Library, University of Michigan, Ann Arbor, Michigan.
Eileen S CarpenterDivision of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan.
Jiaqi ShiDepartment of Pathology & Clinical Labs, University of Michigan, Ann Arbor, Michigan.
Somashekar G KrishnaDivision of Gastroenterology and Hepatology, The Ohio State University Wexner Medical Center, Columbus, Ohio.
Un-Jung LeeBiostatistics Unit, Office of Academic Affairs, Northwell Health, Staten Island, New York.
Jean M ChalhoubDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Staten Island University Hospital, Northwell Health, Staten Island, New York.
Jorge D MachicadoDivision of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan. Electronic address: machicad@med.umich.edu.
University of Michigan · USEastern Virginia Medical School · USNorthwell Health · USThe Ohio State University Wexner Medical Center · US

Funding

Defining epigenetic signaling to reshape pancreatic tumor microenvironmentR37CA262209 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jiaqi Shi · 2022 to 2026
$2.3M
NCI NIH HHS R37 CA262209
6 · The paper itself

Abstract

BACKGROUND &

aimsUnderstanding the burden of pancreatic cystic lesions (PCLs) in the general population is important for clinicians and policymakers. In this systematic review, we sought to estimate the global prevalence of PCLs using magnetic resonance imaging (MRI) and to investigate factors that contribute to its variation.

methodsWe searched MEDLINE, EMBASE, and Cochrane Central, from database inception through February 2023. We included full-text articles that reported the prevalence of PCLs using MRI in the general population. A proportional meta-analysis was performed, and the prevalence of PCLs was pooled using a random-effects model.

resultsFifteen studies with 65,607 subjects were identified. The pooled prevalence of PCLs was 16% (95% confidence interval [CI], 13%-18%; I

conclusionIn this systematic review, the global prevalence of PCLs using a highly sensitive noninvasive imaging modality ranged between 13% and 18%.

Indexed as

Magnetic Resonance ImagingPancreatic CystFemaleGlobal HealthHumansMalePancreasPrevalenceBurdenEpidemiologyPancreas CystPrevalenceRadiology

Identifiers

PMID38423346
PMCPMC11344691
OpenAlexW4392245526

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.