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Record W2150179435 · doi:10.1002/hed.20920

Esthesioneuroblastoma: The Princess Margaret Hospital experience

2008· article· en· W2150179435 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHead & Neck · 2008
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsEsthesioneuroblastomaHistoryPsychoanalysisPsychologyMedicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Esthesioneuroblastoma is rare. The aim of the study was to review our experience and to evaluate the staging system and treatment that best correlates with the patient outcome. METHODS: Thirty-nine patients were identified between 1972 and 2006. RESULTS: At presentation 10% had cervical metastases. None had distant metastasis. Five were treated with surgery, 2 with chemotherapy, 1 with radiotherapy, and 30 with surgery and radiation. Local disease control was 82.6% at 5 years. Recurrence was seen in 33% with local and regional disease recurrence at 15% and 18%, respectively. The 5- and 10-year overall survival rates were 87.9% and 69.2%, respectively. Dulguerov classification correlated most closely to survival and recurrence. CONCLUSIONS: Dulguerov classification best correlates with the patient's outcome. A combined approach is the preferred treatment. It makes no difference whether radiotherapy is given pre or postsurgical resection. Recurrence can occur even 15 years after treatment. Therefore, long-term follow-up is essential.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.307
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.303
Teacher spread0.270 · 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