MétaCan
Menu
Back to cohort
Record W4396522026 · doi:10.5737/23688076342232

PATIENT EDUCATION: Counseling of oral cancer patients

2024· article· en· W4396522026 on OpenAlexvenueno aff
Salima Shams

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMucositisVomitingHead and neck cancerSwallowingCancerNauseaAdverse effectRadiation therapyDiarrheaIntensive care medicineChemotherapyOncologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

The purpose of this manuscript is to summarize key aspects of care for patients with advanced oral cancer, metastatic to the head and neck region. Patients with advanced oral cancer are treated with multimodal treatment. Surgical intervention leads to limitation in speech and swallowing abilities while adverse effects of chemotherapy and radiation treatment can include nausea, vomiting, diarrhea, mucositis, cystitis, dehydration, nephrotoxicity, skin dermatitis, myelosuppression, and nutritional deficiencies leading to weight loss. These toxicities could be overcome through self-care measures practiced by the patient. Oncology nurses could impart knowledge about self-care measures via patient and family counseling. Keywords: advanced oral cancer, head and neck cancer, counseling, self-care measures

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.027
GPT teacher head0.403
Teacher spread0.376 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Oncology Nursing JournalSame topicOral health in cancer treatmentFrench-language works237,207