Evidence map›Paper›PMID 39520038›Full record

ArticleHead & neck2025

Recurrence Detection by Hybrid [

Oliver P Sutter, Alexander Maurer, Thomas M Stadler, Martin Lanzer, Martin W Huellner, Martina A Broglie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Head & neck, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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

6 authors.

Oliver P SutterDepartment of Otorhinolaryngology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0009-0003-5964-3756
Alexander MaurerDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-6964-802X
Thomas M StadlerDepartment of Otorhinolaryngology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1262-0720
Martin LanzerDepartment of Cranio-Maxillo-Facial and Oral Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-7920-5591
Martin W HuellnerDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4849-3292
Martina A BroglieDepartment of Otorhinolaryngology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0009-0000-5088-7568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the clinical management of advanced stage head and neck squamous cell carcinoma, the use of hybrid [

methodsWe conducted a single-center 10-year retrospective study involving all patients who underwent hybrid PET scans for the follow-up of advanced stage head and neck cancer. A total of 285 patients were included.

resultsOut of 199 patients with a negative 3-month hybrid PET, 15% subsequently developed a recurrence during further follow-up. Notably, 90% of these recurrences were detected by hybrid PET.

conclusionFifteen percent of patients with a negative 3-month hybrid PET experienced a recurrence. Given that the majority of recurrences were detected by hybrid PET scans, there is a compelling argument for incorporating regular repetitive scans during follow-up.

Indexed as

Carcinoma, Squamous CellFluorodeoxyglucose F18Head and Neck NeoplasmsNeoplasm Recurrence, LocalPositron-Emission TomographySquamous Cell Carcinoma of Head and NeckAdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalshead and neck neoplasmspositron emission tomographyrecurrenceretrospective studiessquamous cell carcinoma

Identifiers

PMID39520038
PMCPMC11816556

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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.