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Record W1986565449 · doi:10.5430/jst.v3n1p14

Parotid squamous cell carcinoma: Outcome of multidisplinary management

2012· article· en· W1986565449 on OpenAlexvenueno aff
Mohamed A Aboziada, Avraham Eisbruch

Bibliographic record

VenueJournal of Solid Tumors · 2012
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineParotidectomyRadiation therapyNeck dissectionParotid glandSurgeryPrimary tumorLymph nodeOccultFacial nerveMetastasisCarcinomaRadiologyCancerInternal medicinePathology

Abstract

fetched live from OpenAlex

Purpose : To evaluate the origin and outcome of parotid squamous cell carcinoma (SCC) Methods and patients : Fifty nine patients were identified with parotid SCC through the hospital data-base, patients’ charts, imaging studies and computerized notes. Results : Fifty of the patients were diagnosed as metastatic SCC from skin primary cancer to parotid lymph nodes; 28% were immunocompromized and 9 patients were diagnosed as primary SCC of the parotid gland, none was immunocompromized. Forty seven patients with metastatic SCC were treated with surgery and post-operative radiotherapy. The rate of neck lymph node metastases was 54%. The median follow up of these patients was 33 months and the 3-year actuarial cause specific survival was 91%. The 3-year actuarial local recurrence free survival (LRFS) and disease free survival rate were 79% and 77% respectively. Positive surgical margin after parotidectomy was the only factor that had statistically significant poor LRFS. Patients with primary parotid SCC had DFS of 100%. Conclusion : The most common site of the primary tumor was a cutaneous SCC of the face. All patients should be considered for facial nerve sparing radical parotidectomy and adjuvant radiotherapy. Neck dissection or elective neck irradiation for ipsilateral neck is recommended due to high occult LN metastasis.

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)0.000
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 score0.016
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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