Observational studyEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2025
Patterns of lymph node recurrence in sinonasal cancers: risk factors and oncological outcomes.
Observational study in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Invited Editorial: Sentinel Node Biopsy in the Neck Management of cN0 Sinonasal Squamous Cell Carcinoma - A Multicenter Pilot Trial on Safety and Feasibility.Annals of surgical oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSinonasal tumors are rare and heterogeneous diseases with a low incidence of neck node metastasis. This study aims to analyze the risk of neck nodes recurrences and to assess patterns and predictors of nodal recurrence in sinonasal malignancies.
methodsRetrospective observational cohort study on 574 patients affected by sinonasal malignant tumor who were treated via endoscopic-assisted approaches between January 1998 and December 2023 in our tertiary-care referral University hospital. Nodal recurrence-free survival (N-RFS) was analyzed using Kaplan-Meier curves, with univariate and multivariate Cox regression identifying prognostic factors.
resultsNodal involvement at diagnosis was observed in 3.1% (18/574) of patients. During a median follow-up of 62.9 months, nodal recurrence occurred in 6.8% (39/574). Histologies with the highest recurrence included sinonasal neuroendocrine carcinoma (23.5%), sinonasal undifferentiated carcinoma (18.8%), and olfactory neuroblastoma (12.8%). Univariate analysis revealed pT classification (pT > 3), tumor grading (G3/G4), and surgical approach as significant predictors of nodal recurrence. In multivariate analysis, high-grade tumors (HR = 3.109, p = 0.003) and craniofacial/cranio-endoscopic approaches (HR = 2.495, p = 0.023) remained independently associated with worse N-RFS.
conclusionsHistotype is the most important factor in determining the incidence and pattern of regional recurrence. Both high tumor grade and more extensive surgical procedures are independent predictors of regional failure. Therefore, long-term follow-up is essential, especially for specific histologies such as olfactory neuroblastoma and sinonasal neuroendocrine carcinoma. Elective neck treatment should be personalized, taking into account the tumor's histology, grading and overall disease extent to optimize patient outcomes.
Indexed as
Identifiers
41136574What OpenQuestion holds
Registered trials
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.