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Record W3136544909 · doi:10.14639/0392-100x-n1099

Head and neck cancer patients declining curative treatment: a case series and literature review

2021· review· en· W3136544909 on OpenAlexaff
Axel Sahovaler, Tommaso Gualtieri, David A. Palma, Kevin Fung, S. Danielle MacNeil, John Yoo, Anthony C. Nichols

Bibliographic record

VenueActa Otorhinolaryngologica Italica · 2021
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity Health NetworkWestern University
Fundersnot available
KeywordsMedicineHead and neck cancerReferralUnivariate analysisSurgeryHead and neckCancerDiseaseMultivariate analysisInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

There is a scarcity of data assessing outcomes of head and neck cancer patients who refuse treatment for potentially curable disease. We report the data of patients who refused curative treatment at a tertiary referral centre and perform a review of the literature. Patients with a potentially curable mucosal head and neck cancers that were discussed at the multidisciplinary tumour board of a referral centre in a two-year period were included. Two cohorts were obtained: patients who accepted the proposed treatment and those who declined it. Statistical analysis was performed using a univariate analysis with parametric and non-parametric tests. Of a total of 803 patients, 14 (1.74%) refused treatment despite being potentially curable. Their median survival was 6.92 months (range 3-12). Patients who refused treatment were older (73.07 years [95% CI, 66.86-79.28] vs 65.56 years [95% CI, 64.70-66.43], p = 0.030) and more likely to have T4 disease (50% vs 26.04%, p = 0.044). Most patients with curable disease accept conventional treatment and those who refuse it experience dismal outcomes. This report provides objective evidence and can be employed to better counsel patients who refuse curative treatment.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.385
Teacher spread0.324 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations9
Published2021
Admission routes1
Has abstractyes

Explore more

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