Obstetrical Outcomes of Head and Neck (Nonthyroid) Cancers: A 27-Year Retrospective Series and Literature Review
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".