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Record W2100670304 · doi:10.3171/spi.2005.3.6.0495

Spinal hemangioblastoma containing metastatic renal cell carcinoma in von Hippel—Lindau disease

2005· article· en· W2100670304 on OpenAlexaff
Meriç A. Altinoz, Carlo Santaguida, Marie‐Christine Guiot, Rolando F. Del Maestro

Bibliographic record

VenueJournal of Neurosurgery Spine · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsHemangioblastomaMedicineVon Hippel–Lindau diseaseRenal cell carcinomaPathologySpinal cordLaminectomyMetastasisLesionSpinal cord compressionDiseaseInternal medicineCancer

Abstract

fetched live from OpenAlex

The authors describe the case of a patient with von Hippel-Lindau (VHL) disease in which a spinal hemangioblastoma contained metastatic renal cell carcinoma (RCC). The literature on tumor-to-tumor metastasis associated with VHL disease of the central nervous system (CNS) is reviewed. Midthoracic back pain developed in this 43-year-old man with a left-sided radicular component 2 years after he underwent resection of a left RCC. Radiological findings demonstrated a T6-7 intradural intramedullary lesion. A T5-8 laminectomy and gross-total resection of the spinal cord mass were performed. Light and electron microscopic examination showed features of hemangioblastoma, which contained metastatic foci of RCC. Genetic analysis demonstrated the presence of a deleting mutation in the first exon (nt. 394-406) of the VHL locus, truncating 16 amino acids (N61-77) from the first beta sheet in the VHL protein. A review of the literature revealed that RCC-to-CNS hemangioblastoma is the second most common donor-recipient tumor association among the tumor-to-tumor metastases.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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

Citations44
Published2005
Admission routes1
Has abstractyes

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