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Record W4389683234 · doi:10.1002/hed.27588

Elucidating survival and functional outcomes in patients with primary head and neck malignancies treated in academic versus community settings

2023· article· en· W4389683234 on OpenAlexaff
Karen Y. Choi, Shivam Patel, Ciarán Lane, Jacqueline Tucker, Kimberly Chan, Sandeep Pradhan, Sean S. Mahase, Samantha Tam, Tonya S. King

Bibliographic record

VenueHead & Neck · 2023
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineGastrostomy tubeGastrostomyHead and neck cancerTracheotomyProportional hazards modelRetrospective cohort studyFeeding tubeSurvival analysisInternal medicineLog-rank testCancerSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Differences in treatment outcomes between community or academic centers are incompletely understood. METHODS: Retrospective review of head and neck cancer patients between 2010 and 2020 in a rural health region. Kaplan-Meier curves and log-rank tests were used to evaluate survival outcomes, along with bivariate and multivariable Cox proportional hazards models. Linear regression was used for functional outcomes of tracheotomy and gastrostomy tube dependence. RESULTS: Two hundred and forty-eight patients treated at an academic center were compared with 94 patients treated in community centers. In multivariable analysis, the risk of death (HR = 0.60, p = 0.019), and risk of recurrence were lower (HR = 0.29, p < 0.001) for patients treated in academic centers. Patients treated in community centers had longer gastrostomy tube dependence (p = 0.002). CONCLUSION: Our findings suggest that treatment at an academic center was associated with a lower risk of recurrence and shorter gastrostomy tube dependence compared to treatment in the community.

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 score0.010
Threshold uncertainty score0.634

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 integrity0.0000.001
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 head0.055
GPT teacher head0.312
Teacher spread0.258 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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