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Record W2093356880 · doi:10.1586/14737175.2013.853445

Salvage stereotactic radiosurgery for brain metastases

2013· review· en· W2093356880 on OpenAlexaff
George Klironomos, Mark Bernstein

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2013
Typereview
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsToronto Western HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsRadiosurgeryMedicineSalvage therapyBrain diseaseClinical trialDiseaseRadiologySurgeryInternal medicineRadiation therapyChemotherapy

Abstract

fetched live from OpenAlex

Recurrent or progressive brain metastases after initial treatment represent a common clinical entity mainly due to increased survival of cancer patients. From the various available treatment modalities, salvage stereotactic radiosurgery seems to be the most commonly used. Many clinical studies of class of evidence III have demonstrated satisfied results concerning the local brain control and survival of patients with relapsing brain disease. Also stereotactic radiosurgery is considered a relatively safe modality with low incidence of brain toxicity side effects. It is obvious that well-designed, randomized, prospective studies are necessary for the evaluation of the stereotactic radiosurgery as salvage treatment and for the establishment of guidelines for the selection of patients most suitable for this treatment option. The increasing number of patients with relapsing brain metastatic disease will act as a pressure to this direction.

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)0.001
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 score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.003
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)0.0010.000

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 head0.130
GPT teacher head0.439
Teacher spread0.308 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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