Inferior Laryngeal Nerve Paraganglioma With Norepinephrine Hypersecretion Diagnosed Shortly After Pregnancy
Bibliographic record
Abstract
Abstract The diagnosis of pheochromocytoma or paraganglioma (PGL) during pregnancy is extremely rare, with 2 large case series suggesting that the prevalence is between 0.0002% and 0.007%. Here, we present a case of a 38-year-old woman who presented during pregnancy with clinical features suggestive of preeclampsia and was found to have a norepinephrine-secreting inferior laryngeal nerve PGL, which was diagnosed after pregnancy. She underwent uncomplicated surgical resection and genetic testing revealed a succinate dehydrogenase subunit B (SDHB) pathogenic variant. In conclusion, PGLs diagnosed during pregnancy and hypersecreting head and neck PGLs are both rare clinical entities. Hyperfunctioning PGLs may mimic pregnancy-induced hypertension or preeclampsia. Metanephrine testing should be considered in patients with atypical features and can be reliably assessed using nonpregnant reference ranges. Overall, maternal and fetal mortality has improved considerably with early diagnosis and treatment.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".