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Record W2981061052 · doi:10.1186/s40463-019-0378-z

Supraglottic p16+ squamous cell carcinoma during pregnancy: A case report and review of the literature

2019· review· en· W2981061052 on OpenAlexaff
Jakob Pugi, Marc Levin, Michael K. Gupta

Bibliographic record

VenueJournal of Otolaryngology - Head and Neck Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBasal cellPregnancyCarcinomaMedicineOncologyPathologyBiologyGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: Head and neck cancer during pregnancy is uncommon. Specifically, laryngeal cancer in pregnancy has only been previously reported 10 times. HPV p16+ supraglottic cancer during pregnancy has never been described in the literature prior to this case report. This case is important to report to understand the most effective and safe diagnostic, treatment and follow-up options available for pregnant patients with laryngeal cancer. CASE PRESENTATION: This report describes a case of a 33-year-old patient who was 24 weeks pregnant presenting with dysphonia and odynophagia. After laryngeal biopsy and MRI she was diagnosed with T3N1M0, stage three p16+ squamous cell carcinoma of the supraglottis. After inter-disciplinary consultation as well as extensive patient discussion, an awake tracheostomy, PEG tube placement and then elective C-section at 28 weeks' gestation was completed. This was followed by chemoradiotherapy. The patient has remained free from disease with a healthy child at four years post-treatment. CONCLUSION: Supraglottic cancer during pregnancy is rare with only four previous cases reported in the literature. This case report elucidates the importance of including multiple specialities as well as patient preference in the decision-making process regarding treatment for patients with supraglottic cancer during pregnancy. Furthermore, diagnostic and treatment guidelines for pregnant patients with head and neck cancers should be established to promote the best possible oncological, obstetrical and neonatal care.

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)0.000
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0030.001
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 head0.034
GPT teacher head0.309
Teacher spread0.275 · 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
GenreReview

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

Citations8
Published2019
Admission routes1
Has abstractyes

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