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Record W4407250761 · doi:10.1055/s-0045-1803566

Assessing the Prognostic Value of Upfront Neck Disease in Olfactory Neuroblastoma: A Multicenter, Matched Cohort Study

2025· article· en· W4407250761 on OpenAlexaff
Nicholas Fung, Shivam Patel, João Paulo Almeida, Pierre‐Olivier Champagne, Juan C. Fernandez‐Miranda, Paul Gardner, Peter H. Hwang, Jayakar V. Nayak, Chirag Patel, Zara M. Patel, María Peris Celda, Carlos Pinheiro‐Neto, Olabisi Sanusi, Carl Snyderman, Brian D. Thorp, Jamie J. Van Gompel, Georgios A. Zenonos, Nathan T. Zwagerman, Mathew Geltzeiler, Garret Choby, Eric W. Wang

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2025
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineCohortInternal medicineOncologyMulticenter study

Abstract

fetched live from OpenAlex

Introduction: Olfactory neuroblastoma (ONB) is a rare sinonasal and skull base malignancy that is well known for its predilection for delayed cervical metastasis—often over 5 to 10 years from initial presentation. While only 5 to 8% of patients initially present with nodal disease, and is associated with an increased modified Kadish stage, the impact of nodal disease at presentation on treatment and outcomes is not clear or well-studied. Methods: Between February 2005 and April 2021, a total of 257 patients with histologically confirmed ONB were evaluated retrospectively from nine academic tertiary care centers within North America. Epidemiologic parameters and tumor characteristics were recorded for each patient, including factors such as age and gender, margin status, Hyams grade, Kadish staging, dural invasion, and survival follow up data. Due to the rarity of upfront neck disease on presentation (N+), we performed a 1:4 match of patients with N+ disease with clinically N0 disease across multiple covariates: age, sex, Kadish staging and Hyams grade (low vs. high). Survival analysis was performed using Kaplan–Meier and conditional logistic regressions with recurrence-free survival (RFS) and overall survival (OS) as the primary and secondary endpoints, respectively. Results: After matching, our final cohort included 121 patients, of which 27 presented with N+ disease. The mean follow-up time was 54 months [standard deviation [SD]: 37.7 months] for those with N+ disease versus 60.9 months [42.8 months] for N0 disease ( p = 0.42). Both N+ and N0 cohorts were more likely to be staged as modified Kadish C on presentation (92.6 vs. 79.8%, p = 0.12), respectively. Patients with N+ disease were more likely to undergo a unilateral (29.6 vs. 1.1%, p < 0.001) or bilateral neck dissection (11.1 vs. 0%, p < 0.001), compared with N0 patients. Similarly, patients with N+ disease were more likely to undergo neck radiation (75.0 vs. 22.1%, p < 0.001). There were no differences among the patterns of recurrence between the N+ and N0 groups: nasal cavity/paranasal sinuses (14.8 versus 18.1%), neck (14.8 vs. 20.2%), intracranial (7.4 vs. 2.1%), and distant metastasis (7.4 vs. 3.2%). There were no differences in 10-year OS (37.8 vs. 63.7%, p = 0.11) or 10-year RFS (30.4% vs. 32.6%, p = 0.44) between N+ and N0 patients, respectively. On multivariate conditional logistic regression, neck disease on presentation was not an independent, statistically significant factor for RFS (odds ratio [OR]: 1.1, 95% confidence interval [CI]: 0.47–2.60, p = 0.828) and OS (OR: 1.98, 95% CI: 0.77–5.10, p = 0.156). Conclusion: In this matched cohort study, no survival differences were demonstrated in patients who presented with N+ disease compared with N0 disease. Despite receiving definitive treatment of the neck more frequently, patients with N+ disease did not significantly differ in their pattern of recurrence when compared with patients who presented with N0 disease. In sum, our study highlights potential limitations in the modified Kadish D staging as no prognostic difference was noted when comparing N+ and N0 cohorts. Publication History Article published online: 07 February 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.329
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
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