Evidence map›Paper›PMID 41473862›Full record

ArticleData in brief2025

A multi-institutional dataset on patient-individual lymph node involvement in hypopharyngeal and laryngeal squamous cell carcinoma.

Esmée L Looman, Tineke W H van Zon-Meijer, Alexander Rühle, Henning Schäfer, Roman Ludwig, Yoel Pérez Haas, Johannes A Langendijk, Panagiotis Balermpas, Jan Unkelbach

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In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Esmée L LoomanDepartement of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.
Tineke W H van Zon-MeijerDepartment of Radiation Oncology University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, the Netherlands.
Alexander RühleDepartment of Radiation Oncology, University of Freiburg, Robert-Koch-Straße 3, 79106 Freiburg, Germany.
Henning SchäferDepartment of Radiation Oncology, University of Freiburg, Robert-Koch-Straße 3, 79106 Freiburg, Germany.
Roman LudwigDepartement of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.
Yoel Pérez HaasDepartement of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.
Johannes A LangendijkDepartment of Radiation Oncology University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, the Netherlands.
Panagiotis BalermpasDepartement of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.
Jan UnkelbachDepartement of Radiation Oncology, University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present three curated datasets on lymphatic spread patterns in laryngeal and hypopharyngeal squamous cell carcinoma (SCC), based on patients treated at the University Medical Center Groningen (UMCG) between 2007 and 2023, the University Hospital Zurich (USZ) between 2013 and 2021 and the Freiburg University Hospital (UKF) between 2011 and 2019. They include comprehensive data on primary tumor characteristics, lymphatic progression patterns, and relevant clinicopathological factors such as age, sex, HPV status, tumor subsite and lateralization, and TNM classification. In total, the datasets comprise 1403 newly diagnosed patients, with lymph node metastases assessed per lymph node level (LNL) through imaging and, if available, fine needle aspiration (FNA) or histopathology after neck dissection. The data were acquired during routine clinical care. Structured in tabular form (CSV file) with one row per patient, the dataset enables analysis of spread patterns and correlations between involvements of different LNLs in laryngeal and hypopharyngeal SCC. It is provided in a standardized human- and machine-readable format alongside a Python library for accessing and manipulating the data, making analyses straightforward. Further, it can be interactively explored using the graphical user interface at LyProX.org and compared to earlier datasets from different institutions that report patterns of lymphatic progression for other primary tumor locations in the head & neck.

Indexed as

Graphical user interfaceHypopharyngeal and laryngeal squamous cell carcinomaLymphatic involvementPatterns of progression

Identifiers

PMID41473862
PMCPMC12747233

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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.