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Record W2491244743

Patient preferences in early glottic cancer treatment.

2016· article· en· W2491244743 on OpenAlexaffabout
McNeil Ml, Wilke Dr, Taylor Sm

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCohortSurgeryRadiation therapyTransoral laser microsurgeryModalitiesLaser surgeryStage (stratigraphy)CancerProspective cohort studyResectionCohort studyGeneral surgeryHead and neck cancerLaserInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Patients with early-stage glottic cancer are primarily treated with one of three options: endoscopic laser excision, external-beam radiation, or open conservation surgery. We sought to determine patient preferences for treatment when presented with a choice between CO2 laser resection and radiation (open conservation surgery was not offered because the endoscopic approach is preferred at our institution). This prospective cohort study was conducted at the Dalhousie University Faculty of Medicine in Halifax, Canada. Our patient population was made up of 54 men and 10 women, aged 30 to 84 years (mean: 65.0 ± 11.2). Their disease were staged as follows: carcinoma in situ, n = 11; T1a = 21; T1b = 6; and T2 = 26. Patients were quoted identical cure rates for the two treatment modalities. The controversial issue of voice outcomes was discussed, but no leading information was given to the study cohort. All 64 patients chose CO2 laser resection as opposed to radiation therapy for definitive 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.277
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2016
Admission routes2
Has abstractyes

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