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Record W2326814033 · doi:10.1017/cjn.2014.84

Stereotactic radiosurgery for refractory trigeminal neuralgia

2014· article· en· W2326814033 on OpenAlexaffvenue
J.A. Broomfield, Anthony Whitton, Rocco Devilliers, Þorsteinn Gunnarsson, Crystal Hann, S. Gauld, C. DiFrancesco, Tom Chow, Jeffrey Greenspoon

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2014
Typearticle
Languageen
FieldMedicine
TopicTrigeminal Neuralgia and Treatments
Canadian institutionsMcMaster UniversityJuravinski Cancer Centre
Fundersnot available
KeywordsTrigeminal neuralgiaRadiosurgeryRefractory (planetary science)MedicineMedical physicsRadiologySurgeryPhysicsRadiation therapy

Abstract

fetched live from OpenAlex

Suppl 2 -S15 information of age, gender, location of the tumor and treatment. Results: From 200 citations, 136 patients from 90 articles were identified with T-cell PCNSL and majority of them were case reports or case series. There were 16 cases reported between years 1980-1990, 54 from 1990-2000, and 66 from 2000-2013. Men outnumber women by 2:1. The median age of the patients was 42.5 (range 2 to 79) years and the median overall survival (OS) was 14.0 (95%CI 13.3 to 20.1) months for those with age d64 years compared to 8.0 (95%CI 4.8 to 14.1) months for those with age >64 years (P=0.0033). Fifty-one patients received methotrexate-based chemotherapy and only 46% achieved a complete response (CR). There was no difference between the Kaplan-Mier overall survival of patients diagnosed with solitary versus multiple tumors ( 2 =0.3, P=0.6090), treated versus nottreated with methotrexate ( 2 =0.1, P=0.7420), and achieved CR versus non-CR status after methotrexate therapy ( 2 =0.4, P=0.5470). Conclusion: T-cell PCNSL appears to be more aggressive and less responsive to methotrexate-based treatment than the majority of PCNSLs.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.295
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicTrigeminal Neuralgia and TreatmentsFrench-language works237,207