Evidence map›Paper›PMID 42720063›Full record

ReviewFuture science OA2026

Pretherapeutic radiological sarcopenia in pancreatic ductal adenocarcinoma: a narrative review.

Myriam Ayari, Sarah Ben Azouz, Amira Chehaider, Taieb Jomni

Abstract readReview
In one paragraph

Review in Future science OA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Myriam AyariGastroenterology Department, Internal Security Forces Hospital La Marsa, Tunis, Tunisia.ORCID 0000-0001-7361-8248
Sarah Ben AzouzGastroenterology Department, Internal Security Forces Hospital La Marsa, Tunis, Tunisia.
Amira ChehaiderGastroenterology Department, Internal Security Forces Hospital La Marsa, Tunis, Tunisia.
Taieb JomniGastroenterology Department, Internal Security Forces Hospital La Marsa, Tunis, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest solid malignancies despite advances in surgery, perioperative care, and systemic therapies. Pretherapeutic radiological sarcopenia has emerged as a clinically relevant body-composition phenotype associated with poor outcomes in oncology. This imaging-based concept differs from contemporary geriatric definitions of sarcopenia, which require impaired muscle strength and incorporate low muscle quantity and/or quality. This narrative review critically examines radiological assessment, biological context, prognostic implications, artificial intelligence (AI)-enabled quantification, and interventional evidence in PDAC. A structured narrative search of PubMed/MEDLINE, Embase, and Google Scholar was conducted from database inception through July 31, 2026. Computed tomography (CT)-based skeletal muscle index remains the most widely validated imaging biomarker, although substantial heterogeneity persists in methods and diagnostic thresholds. Low muscle mass is most consistently associated with reduced survival, whereas associations with postoperative morbidity and systemic treatment toxicity are more heterogeneous. Exercise, nutritional, and multimodal cachexia interventions appear feasible and may provide functional or nutritional benefits, but evidence remains insufficient to establish a survival benefit from improving muscle status. AI-based approaches enable scalable body-composition analysis, although external validation, methodological standardization, and prospective clinical integration remain necessary. Overall, radiological sarcopenia is a promising prognostic and potentially actionable phenotype in PDAC.

Indexed as

artificial intelligencebody compositioncomputed tomographyPancreatic adenocarcinomasarcopeniasurvival

Identifiers

PMID42720063
PMCPMC13568583

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.