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Record W1966354837 · doi:10.14740/jmc.v6i4.2114

Human Papilloma Virus Associated Oropharyngeal Cancer in Pregnancy: Diagnostic and Management Challenge

2015· article· en· W1966354837 on OpenAlexvenueno aff
Robyn Frances Coombe, Sandeep Bhuta

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHuman papilloma virusCancerHead and neck cancerPregnancyHead and neck squamous-cell carcinomaNeck massDiseaseHead and neckDifferential diagnosisBasal cellCervical lymphadenopathyObstetricsCervical cancerOncologyInternal medicinePathologySurgery

Abstract

fetched live from OpenAlex

Human papilloma virus (HPV) associated head and neck cancer is a relatively new entity causing significant disease burden to otherwise healthy, young individuals. We describe the first case to our knowledge of HPV positive oropharyngeal cancer arising in a young pregnant woman. We discuss the implications of pregnancy on limiting management and treatment options and the need for timely multidisciplinary input. The case demonstrates how HPV squamous cell carcinoma is affecting a younger demographic and if not considered, can present as a diagnostic challenge. p-16 positive neck lymphadenopathy should be included in the differential diagnosis of a neck mass in a young patient. The case also illustrates the need for approved management guidelines in such a challenging clinical scenario. J Med Cases. 2015;6(4):179-182 doi: http://dx.doi.org/10.14740/jmc2114w

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)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.070
GPT teacher head0.368
Teacher spread0.299 · 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 designCase report
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

Citations0
Published2015
Admission routes1
Has abstractyes

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