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Record W2793304094 · doi:10.1002/hed.25073

Evaluation of treatment outcomes in patients with supraglottic laryngeal cancer in Ontario, Canada: A population‐based study

2018· article· en· W2793304094 on OpenAlexaffabout
Stephen F. Hall, Rebecca J. Griffiths

Bibliographic record

VenueHead & Neck · 2018
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineLaryngectomyRadiation therapyHazard ratioCarcinomaCancerHead and neck cancerInternal medicineSurgeryGlottisProportional hazards modelPopulationRetrospective cohort studyOncologyLarynxConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Supraglottic laryngeal carcinoma has an entirely different etiology, clinical presentation, and prognosis compared to glottis cancer but the only evidence for the use of concurrent chemotherapy with radiotherapy (CRT) is the 5.4% 5-year improvement in overall survival (OS) for the combined laryngeal site. METHOD: We conducted a retrospective population-based study using administrative data to compare OS, disease-specific survival (DSS), laryngectomy-free survival, and laryngoesophageal dysfunction-free survival over time and by treatment for all patients with supraglottic laryngeal carcinoma diagnosed between January 1, 1990, and December 31, 2014, in Ontario, Canada. RESULTS: There was no improvement over time in OS (hazard ratio [HR] 1.006; P = .90), DSS (HR 1.031; P = .65), or laryngoesophageal dysfunction-free survival (P = .39). The patients selected for CRT had similar OS (HR 1.04; P = .66), laryngectomy-free survival (HR 0.95; P = .23), and laryngoesophageal dysfunction-free survival (P = .79) compared with patients undergoing radiotherapy. CONCLUSION: The addition of CRT by head and neck oncologists in Ontario, Canada, did not improve outcomes for the "real world" patients with supraglottic laryngeal carcinoma.

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 score0.013
Threshold uncertainty score0.999

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 head0.048
GPT teacher head0.338
Teacher spread0.290 · 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

Citations4
Published2018
Admission routes2
Has abstractyes

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