Evidence map›Paper›PMID 39501100›Full record

ArticleCancer2025

A comprehensive approach to defining the cutoff value of oligometastasis in head and neck squamous cell carcinoma.

Diako Berzenji, Olivier R G Oude Booijink, Renske Gahrmann, Hetty Mast, Marta E Capala, Sjors A Koppes, Esther van Meerten, Bernd Kremer, Robert Jan Baatenburg de Jong, Marinella P J Offerman and 1 more

Abstract read
In one paragraph

Article in Cancer, 2025. 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. Article
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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.

Diako BerzenjiDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center (MC) Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0002-5281-735X
Olivier R G Oude BooijinkDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center (MC) Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Renske GahrmannDepartment of Radiology and Nuclear Medicine, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Hetty MastDepartment of Oral and Maxillofacial Surgery, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Marta E CapalaDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Sjors A KoppesDepartment of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0002-8833-531X
Esther van MeertenDepartment of Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Bernd KremerDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center (MC) Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Robert Jan Baatenburg de JongDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center (MC) Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Marinella P J OffermanDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center (MC) Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.
Jose A HardilloDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus Medical Center (MC) Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0001-5580-5613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with limited distant metastatic disease, also known as oligometastasis, show better survival rates than polymetastatic patients, and may be amenable for curative-intent treatment. The definition of oligometastasis, however, is unknown, and no quantitative analyses on the cutoff value for oligometastasis have been performed before. This study aims to derive specific threshold values for the number of metastases and affected locations that defines oligometastatic disease in head and neck squamous cell carcinoma.

methodsA retrospective cohort study was conducted including all patients diagnosed with distant metastases between 2006 and 2021. For each patient, the number of distant metastases and affected locations was recorded on the basis of the available imaging at the time of diagnosis. Cox regression analyses and a machine-learning k-means algorithm were used to determine threshold values.

resultsA total of 384 patients untreated for their metastatic foci were analyzed. Most patients (n = 207; 53.9%) had metastasis to one anatomic location, followed by metastases in two anatomic locations (n = 62; 16.1%). The majority of patients had ≥9 metastatic foci (n = 174; 45.3%), followed by one focus (n = 74; 19.3%) and two foci (n = 32; 8.3%). Cox regression and machine-learning k-means models showed that although the number of metastases did not predict survival, the number of affected locations did significantly (p < .001), by identifying a threshold of two locations.

conclusionsContrary to the prevalent dogma, the definition of oligometastasis should not be defined by the number of metastases but rather by the number of affected locations, with a maximum number of affected locations set at two.

Indexed as

Head and Neck NeoplasmsSquamous Cell Carcinoma of Head and NeckAdultAgedAged, 80 and overFemaleHumansMachine LearningMaleMiddle AgedNeoplasm MetastasisRetrospective Studiescutoff valuedistant metastasishead and neck carcinomaoligometastasispolymetastasisthreshold

Identifiers

PMID39501100
PMCPMC11694335

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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.