MétaCan
Menu
Back to cohort
Record W4383186557 · doi:10.1111/neup.12933

Documented growth of an intracranial capillary hemangioma: A case report

2023· article· en· W4383186557 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeuropathology · 2023
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCapillary hemangiomaMedicineLesionHemangiomaVascularityPathologyGliomaConfusionPopulationRadiology

Abstract

fetched live from OpenAlex

Intracranial capillary hemangiomas in adults are rare, and diagnosis can be challenging. Hemangiomas, in general (and particularly in the skin), are more often noted in the pediatric population. Due to the lack of imaging undertaken in the presymptomatic phase, the literature provides few clues on the rate of growth of these unusual tumors. Therefore, we report a case of a 64-year-old man with a medical history of Lyme disease who presented with exhaustion and confusion. Imaging demonstrated an intra-axial lesion with vascularity in the posterior right temporal lobe, raising the possibility of a glioma. Imaging two years prior revealed a very small lesion in the same location. The patient underwent a craniectomy, total resection of the lesion was completed, and his symptoms of confusion resolved. Biopsy revealed a capillary hemangioma composed of small vascular channels lined by endothelial cells and pericytes without smooth muscle. Features of glioma, vascular neoplasms or neuroborreliosis (cerebral Lyme disease) were not identified. Our case documents the growth over two years of a rare intracranial capillary hemangioma in an older adult male.

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.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.292
Teacher spread0.276 · 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