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Record W4404069433 · doi:10.33590/emjoncol/igrn6205

Ependymoma Alongside Hereditary Paraganglioma-Phaeochromocytoma Syndrome Due to a SDHB Mutation: A Case Report

2024· article· en· W4404069433 on OpenAlexaff
Renee‐Marie Ragguett, Seth Climans, Jacob Houpt, Vivian Tan

Bibliographic record

VenueEMJ Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsSDHBParagangliomaMedicineEpendymomaPathologyGermline mutationMutationDermatologyBiologyGenetics

Abstract

fetched live from OpenAlex

Mutations in the SDHB gene cause a characteristic syndrome that includes paragangliomas (PGL) and phaeochromocytomas (PCC). Herein we present a rare case of an ependymoma in a patient with a germline SDHB mutation. A 41-year-old man with a positive family history of PGL/PCC syndrome was found to have the familial SDHB mutation. Screening imaging for paragangliomas revealed an incidental presumed ependymoma originating from the fourth ventricle. He was followed with serial imaging to assess for progression of the lesion. Due to slow, substantial growth of the tumour, and increasing symptoms which included diplopia, unsteadiness, and wide-based gait, he underwent a resection 5 years after the lesion’s identification. Following resection of the tumour, the pathology confirmed the tumour as a posterior fossa type B (PFB) ependymoma of the fourth ventricle. Unfortunately, on Day 26 post-operatively, the patient had a pulmonary embolism and died. His family consented to an autopsy, which revealed the presence of a clinically-silent pituitary neuroendocrine tumour (PitNET). Though ependymomas are not commonly seen in PGL/PCC syndrome, they can occur. This case represents the first molecularly-characterised ependymal tumour described in this tumour predisposition syndrome. Clinicians ought to be aware of the risk of ependymoma in patients with PGL/PCC syndrome and consider this tumour when conducting their screening and follow-up of asymptomatic SDHx mutation carriers.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Case reportlow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Case reportmedium
models agreeAgreement compares identical category sets and study designs across arms.

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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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

Labeled directly by 2 models reading the full record.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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