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Record W2170206357 · doi:10.3171/2014.9.focus14505

Isocitrate dehydrogenase status and molecular subclasses of glioma and glioblastoma

2014· review· en· W2170206357 on OpenAlexaff
Sameer Agnihotri, Kenneth Aldape, Gelareh Zadeh

Bibliographic record

VenueNeurosurgical FOCUS · 2014
Typereview
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsIsocitrate dehydrogenaseGliomaGlioblastomaIDH1Cancer researchOncologyBiologyChemistryInternal medicineMedicineEnzymeGeneticsBiochemistryGeneMutation

Abstract

fetched live from OpenAlex

Diffuse gliomas and secondary glioblastomas (GBMs) that develop from low-grade gliomas are a common and incurable class of brain tumor. Mutations in the metabolic enzyme glioblastomas (IDH1) represent a distinguishing feature of low-grade gliomas and secondary GBMs. IDH1 mutations are one of the most common and earliest detectable genetic alterations in low-grade diffuse gliomas, and evidence supports this mutation as a driver of gliomagenesis. Here, the authors highlight the biological consequences of IDH1 mutations in gliomas, the clinical and therapeutic/diagnostic implications, and the molecular subtypes of these tumors. They also explore, in brief, the non-IDH1-mutated gliomas, including primary GBMs, and the molecular subtypes and drivers of these tumors. A fundamental understanding of the diversity of GBMs and lower-grade gliomas will ultimately allow for more effective treatments and predictors of survival.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
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 head0.019
GPT teacher head0.306
Teacher spread0.287 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations55
Published2014
Admission routes1
Has abstractyes

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