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Record W2084238011 · doi:10.1055/s-2004-817699

Does Catecholamine Secretion from Head and Neck Paragangliomas Respond to Radiotherapy? Case Report and Literature Review

2003· article· en· W2084238011 on OpenAlexaff
Francis T. Hall, Bayardo Perez‐Ordoñez, Robert G. MacKenzie, Ralph Gilbert

Bibliographic record

VenueSkull base · 2003
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsSunnybrook Health Science CentrePrincess Margaret Cancer Centre
Fundersnot available
KeywordsPalpitationsMedicineParagangliomaHeadachesRadiation therapyCatecholamineNeuroendocrine tumorsPathologicalLymph nodeRadiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

We report a 38-year-old woman with a malignant catecholamine-secreting vagal paraganglioma. In the preceding year she had intermittent severe frontoparietal headaches. While she was receiving radiotherapy (35 Gy in 15 fractions) she developed palpitations, which steadily worsened over the following three years. A repeat CT scan showed no change in the size of the tumor. Urinary catecholamines were elevated and a MIBG scan showed increased uptake in the region of the vagal paraganglioma. She underwent near total resection of her tumor via a Fisch type C approach. Pathological examination showed a paraganglioma with metastasis involving a cervical lymph node. The palpitations and headaches resolved completely after surgery. This report and other published case reports suggest that catecholamine secretion from head and neck paragangliomas does not appear to respond to radiotherapy. Patients with cardiovascular symptoms from catecholamine-secreting paragangliomas are best managed surgically.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.011
GPT teacher head0.284
Teacher spread0.273 · 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

Citations17
Published2003
Admission routes1
Has abstractyes

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