Evidence map›Paper›PMID 41958453›Full record

ArticleESMO gastrointestinal oncology2026

Additional benefit of standardized computed tomography-based lymph node assessment utilizing Node-RADS in esophageal adenocarcinoma.

J J Staudacher, C Treese, E M Köhne, P Jäger, I Pozios, F Branchi, B Siegmund, S Daum, L-A Schaafs, F Elsholtz

Abstract read
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In one paragraph

Article in ESMO gastrointestinal oncology, 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
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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

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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

10 authors.

J J StaudacherDepartment of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
C TreeseDepartment of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
E M KöhneDepartment of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
P JägerBerlin Institute of Health at Charité, Berlin, Germany.
I PoziosDepartment of General and Visceral Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
F BranchiDepartment of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
B SiegmundDepartment of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
S DaumDepartment of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
L-A SchaafsDepartment of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.
F ElsholtzDepartment of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Campus Benjamin Franklin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate lymph node staging is crucial for treatment stratification in esophageal adenocarcinoma. While endoscopic ultrasound (EUS) is standard for locoregional staging, computed tomography (CT) remains essential for detecting distant metastasis. This study aims to evaluate the Node Reporting and Data System (Node-RADS) framework, developed to standardize CT-based lymph node evaluation, in locally advanced esophageal adenocarcinomas. Materials and methods: We retrospectively included patients with histologically confirmed esophageal adenocarcinoma who were treated with multimodal therapy and curative-intent surgery between 2017 and 2023. Preoperative CT scans were scored according to Node-RADS by two independent radiologists. Kaplan-Meier and log-rank tests assessed survival differences, and multivariable Cox regression was employed to identify independent prognostic factors. Results: Based on survival trajectory analysis, a score of ≥2 was defined as Node-RADS positive (nN+).This identified 84 nN+ and 75 nN- patients. Node-RADS positivity strongly correlated with EUS nodal status ( Conclusions: Node-RADS provides a reproducible CT-based method for lymph node assessment in esophageal adenocarcinoma. It positively correlates with EUS and pathological nodal involvement and independently predicts survival. Node-RADS may complement EUS for staging, but prospective studies are needed to define optimal cut-offs and validate its clinical utility.

Indexed as

computed tomographyendoscopic ultrasoundesophageal adenocarcinomaslymph node metastasisNode-RADSstaging

Identifiers

PMID41958453
PMCPMC13059021

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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.