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Record W4392354930 · doi:10.4103/jets.jets_40_23

Head-and-neck Cancer in the Emergency Department: A Contemporary Review of Common Presentations and Management

2024· review· en· W4392354930 on OpenAlex
Ee Lyn Chan, Aleix Rovira

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Emergencies Trauma and Shock · 2024
Typereview
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineEmergency departmentHead and neckHead and neck cancerMedical emergencyCancerGeneral surgerySurgeryNursingInternal medicine

Abstract

fetched live from OpenAlex

Head-and-neck cancer (HNC) can present with life.threatening symptoms in the emergency department. Patients can sometimes be misdiagnosed with pulmonary disease due to similar signs and symptoms, ultimately leading to delayed diagnosis and potentially devastating consequences. Reasons for this include lack of awareness of patient risk factors and knowledge of the myriad of presenting complaints in the disease process among physicians working in primary care and in the emergency department. This article explores the contemporary risk factors and common presenting symptoms and discusses initial management for a patient with potential head-and-neck malignancy. Emergency presentations of HNC are wide ranging and can overlap with common respiratory pathologies. Clinician awareness of this can assist the team in deciding what appropriate examination and investigations are required to reduce the risk of delaying diagnosis and further 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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.775
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.120
GPT teacher head0.434
Teacher spread0.314 · 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