Evidence map›Paper›PMID 40507365›Full record

ArticleCancers2025

Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans.

Lixia Wang, Yu Shi, Touseef Ahmad Qureshi, Yibin Xie, Srinivas Gaddam, Linda Azab, Chaowei Wu, Yimeng He, Zengtian Deng, Sehrish Javed and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

25 authors.

Lixia WangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-2304-7536
Yu ShiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0009-0003-0668-196X
Touseef Ahmad QureshiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-8253-7308
Yibin XieBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Srinivas GaddamKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-6818-6305
Linda AzabBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Chaowei WuBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-7492-364X
Yimeng HeBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Zengtian DengBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Sehrish JavedBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Garima DiwanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Camila Lopes VendramiDepartment of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Alex RodriguezDivision of Gastroenterology, Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA.
Katherine SpechtDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0009-0001-3682-5106
Christie Y JeonDepartment of Biomedical Science, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Humaira ChaudhryDepartment of Radiology, Rutgers New Jersey Medical School, Newark, NJ 07103, USA.
James L BuxbaumDivision of Gastroenterology, Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA.
Joseph R PisegnaDivision of Gastroenterology, Hepatology and Parenteral Nutrition, Department of Medicine VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA.
Vahid YaghmaiDepartment of Radiological Sciences, University of California, Irvine, CA 92868, USA.
Wolfram GoesslingDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA.
Yasmin G Hernandez-BarcoDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA.
Frank H MillerDepartment of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Temel TirkesDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-0185-8741
Stephen J PandolDivision of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-0818-6017
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Funding

Indiana University (IU) Clinical Center for Chronic Pancreatitis Clinical Research NetworkU01DK108323 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Jeffrey James Easler, Evan L Fogel · 2015 to 2026
$6.5M
Predicting Pancreatic Ductal Adenocarcinoma PDAC Through Artificial Intelligence Analysis of Pre Diagnostic CT Images in African AmericansR01CA260955 · NCI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO, PANDOL, STEPHEN J. · 2021 to 2025
$4.8M
Indiana University clinical Center for acute pancreatitis and diabetes clinical research networkU01DK127382 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina, Evan L Fogel · 2020 to 2026
$2.4M
NCI NIH HHS R01 CA260955NIDDK NIH HHS U01 DK108323NIDDK NIH HHS U01 DK127382NIH HHS NIH R01 CA260955
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencemain pancreatic duct (MPD)pancreatic ductal adenocarcinoma (PDAC)PDAC predictionpre-diagnostic CTradiomics

Identifiers

PMID40507365
PMCPMC12153928

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.