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Record W2914312201 · doi:10.1055/s-0039-1677876

Obstetrical Outcomes of Head and Neck (Nonthyroid) Cancers: A 27-Year Retrospective Series and Literature Review

2019· article· en· W2914312201 on OpenAlexaff
Ernesto Antônio Figueiró-Filho, Richard Horgan, Nidal Muhanna, Jacqueline Parrish, Jonathan M. Irish, Cynthia Maxwell

Bibliographic record

VenueAmerican Journal of Perinatology Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicinePregnancyPresentation (obstetrics)Retrospective cohort studyHead and neckObstetricsPediatricsSurgery

Abstract

fetched live from OpenAlex

Objective To describe the clinical presentation and obstetrical outcomes of nonthyroid head and neck cancers (HNCs), and to review literature on this rare condition in pregnancy. Study Design Pregnant women with nonthyroid HNC were identified retrospectively from 1990 to 2017. Maternal, neonatal, pregnancy, and demographic data were collected. A review of the literature from January 1980 to May 2018 was performed. Results Over the 27-year time period, 16 women with history of nonthyroid HNC were identified (9 diagnosed during and 7 diagnosed before current pregnancy). The cases were analyzed in detail and the most updated review of management of each type of HNC was provided. Conclusions HNCs are rare with diagnosis and management challenges during pregnancy. In this series, the cases diagnosed and managed previously to pregnancy presented better perinatal outcomes than the cases presented during pregnancy. The maternal outcomes appeared similar for HNC diagnosed before or after pregnancy.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.469

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 head0.007
GPT teacher head0.294
Teacher spread0.287 · 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 teacher head, 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

Citations10
Published2019
Admission routes1
Has abstractyes

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