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Record W2006271634 · doi:10.2310/7070.2001.19527

Outcome of Curative Management of Malignant Tumours of the Parotid Gland

2001· article· en· W2006271634 on OpenAlexaffvenue
Peter Kirkbride, Fei‐Fei Liu, Brian O’Sullivan, David G. Payne, Padraig Warde, Patrick Gullane, Melania Pintilie, Thomas J. Keane, Bernard Cummings

Bibliographic record

VenueThe Journal of Otolaryngology · 2001
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineParotid glandParotidectomyRadiation therapySurgeryStage (stratigraphy)Retrospective cohort studyLymphPathology

Abstract

fetched live from OpenAlex

PURPOSE: The optimal management of malignant parotid gland tumours remains to be defined precisely. Specifically, a further understanding of the tumour features that influence treatment outcome is needed. MATERIALS AND METHODS: A retrospective review was conducted on 184 patients who were registered at the Princess Margaret Hospital with a diagnosis of a primary malignant parotid gland tumour. RESULTS: All patients were initially managed with a parotidectomy, and postoperative x-ray radiation therapy (XRT) was administered to 159 patients. The actuarial 5-year cause-specific survival and locoregional control rates were 76% and 81%, respectively. The survival and locoregional control rates for patients treated with surgery alone versus surgery plus postoperative XRT were not statistically different. A multiple regression analysis identified only age and tumour category to be independently significant prognostic factors for both survival and locoregional control. CONCLUSION: We would recommend that patients with malignant parotid gland tumours be managed with parotidectomy, followed by postoperative XRT for tumours with residual disease, aggressive histology, and/or positive lymph nodes.

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 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)0.001
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 score0.016
Threshold uncertainty score0.195

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.028
GPT teacher head0.298
Teacher spread0.269 · 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 teacher head, 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".

Quick stats

Citations38
Published2001
Admission routes2
Has abstractyes

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