Evidence map›Paper›PMID 41428798›Full record

ArticleThe American journal of gastroenterology2026

Association Between Computed Tomography-Based AI-Derived Body Composition and Survival in Patients With Pancreatic Ductal Adenocarcinoma.

Koen J H Wijsman, Derk C F Klatte, Hani M Babiker, Aleksander M Bogdanski, Brandon R Grossardt, Jeanin E van Hooft, Monique E van Leerdam, J Sven D Mieog, Alexander D Weston, Michael B Wallace and 1 more

Abstract readMulticenter Study
In one paragraph

Article in The American journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Koen J H WijsmanDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0009-0000-9535-8969
Derk C F KlatteDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0003-2531-6725
Hani M BabikerDivision of Hematology and Oncology, Department of Medicine, Mayo Clinic, Jacksonville, Florida, USA.ORCID 0000-0002-9368-6296
Aleksander M BogdanskiDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0001-8632-9277
Brandon R GrossardtDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-7112-9061
Jeanin E van HooftDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-4424-0079
Monique E van LeerdamDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-5719-3208
J Sven D MieogDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Alexander D WestonDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, Florida, USA.ORCID 0000-0002-0080-9702
Michael B WallaceDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Jacksonville, Florida, USA.
Yan BiDivision of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Jacksonville, Florida, USA.ORCID 0000-0001-7427-6219

Funding

René Vogels Stichting, Prof. dr. A.E. Meinders Fund, LUF International Study Fund, Professor Chris Gips Foundation, Minerva Scholarship Fund, CAPER Travel Grant, Quintus Fund, LUSTRA+ Scholarship, Leiden University Trustee Funds, ESC Travel Grant, KNMG Dick Held, Hanarth Fonds
6 · The paper itself

Abstract

introductionA deeper understanding of the factors influencing survival in patients with pancreatic ductal adenocarcinoma (PDAC) is essential for optimizing treatment strategies. This study investigates the independent association of body composition parameters with overall survival in patients with PDAC.

methodsThis retrospective multisite cohort study included patients diagnosed with PDAC. Diagnostic computed tomography scans were retrieved, and body composition was evaluated using a validated deep learning-based segmentation algorithm that measured tissue volume and density in a 20 cm vertical abdominal section.

resultsA total of 1,666 patients with PDAC were included, 938 male (56.3%) and median age 69 years (interquartile range 61-76). In the subgroup of patients who underwent surgical resection (n = 509), myosteatosis (intramuscular infiltration of adipose tissue; hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.16-2.11, P = 0.004), sarcopenic obesity (HR 1.75, 95% CI 1.06-2.91, P = 0.03), and less subcutaneous adipose tissue (HR 1.09, 95% CI 1.03-1.16, P = 0.002) were associated with higher mortality. In patients receiving palliative systemic therapy (n = 439), lower skeletal muscle density (HR 1.43, 95% CI 1.03-1.99, P = 0.03) was associated with higher mortality. In patients who did not undergo tumor-targeted treatment (n = 718), less visceral adipose tissue (HR 1.04, 95% CI 1.01-1.08, P = 0.02) was associated with higher mortality. DISCUSSION: Body composition parameters, derived from computed tomography scans at the time of PDAC diagnosis, particularly low skeletal muscle density, sarcopenic obesity, and low adipose tissue, are independently associated with overall survival in patients with PDAC. Evaluating body composition at diagnosis could enhance clinical decision-making and enable more personalized treatment strategies.

Indexed as

Body CompositionCarcinoma, Pancreatic DuctalPancreatic NeoplasmsTomography, X-Ray ComputedAgedDeep LearningFemaleHumansMaleMiddle AgedRetrospective StudiesSarcopeniaartificial intelligencebody compositionmortalitypancreatic ductal adenocarcinomasurvival analysis

Identifiers

PMID41428798
PMCPMC13038073

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Registered trials

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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.