Evidence map›Paper›PMID 40887810›Full record

ArticleOral diseases2026

Preoperative Staging in Oral Cavity Cancer: Nationwide Practice and Concordance With Pathology.

Hanneke Doremiek van Oorschot, Julie Maria Leonardus Sijmons, Jose Angelito Hardillo, Robert Jan Baatenburg de Jong, Dutch Head and Neck Audit ‐ Oral Cavity Collaborator Group

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In one paragraph

Article in Oral diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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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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

5 authors.

Hanneke Doremiek van OorschotDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0001-6858-3984
Julie Maria Leonardus SijmonsScientific Bureau, Dutch Institute for Clinical Auditing, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-4914-4537
Jose Angelito HardilloDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0001-5580-5613
Robert Jan Baatenburg de JongDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0001-7236-264X
Dutch Head and Neck Audit ‐ Oral Cavity Collaborator Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe clarity of TNM-classification for oral cancer has a direct impact on healthcare resource allocation, treatment decisions, morbidity, and clinical outcomes. However, possible TNM ambiguity between hospitals exists due to the broad range of available diagnostics. Therefore, this study aims to assess current practice variation in preoperative staging for oral cavity cancer. MATERIALS AND

methodsAll patients who underwent primary oral cavity cancer resection in the Netherlands between 2018 and 2021 were selected from the Dutch Head and Neck Audit database. Preoperative staging (cTN) was compared to definitive pathology staging (pTN) as the gold standard for assessing concordance at national and hospital levels.

resultsDisease stage was upstaged in 27.5% of the patients. For T-classification analysis, 2458 patients were included. Accuracy for T-classification categories was 85.2%-93.1%, but significant hospital variation in overstaging and understaging was observed. For N-classification analysis, 1746 patients were included. Preoperative assessment of node involvement missed metastasis in 25.1% of the cN0 patients, resulting in 77.3% accuracy.

conclusionSignificant preoperative understaging of oral cancer calls the attention to the difficulties of the diagnostics of oral cancer. Although the accuracy of preoperative staging in oral cavity cancer is high, significant differences between hospitals were observed.

Indexed as

Mouth NeoplasmsNeoplasm StagingPractice Patterns, Physicians'AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNetherlandshead and neck cancerhospital variationlocoregional stagingoral cavity cancerTNM staging system

Identifiers

PMID40887810
PMCPMC13077016

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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.