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Record W2767545176 · doi:10.1093/neuonc/nox168.194

CMET-48. CE7 CANADIAN CLINICAL TRIALS GROUP / ALLIANCE FOR CLINICAL TRIALS IN ONCOLOGY. A PHASE III TRIAL OF STEREOTACTIC RADIOSURGERY COMPARED WITH WHOLE BRAIN RADIOTHERAPY (WBRT) FOR 5–15 BRAIN METASTASES

2017· article· en· W2767545176 on OpenAlexaffabout
David Roberge, Paul D. Brown, Warren Mason, Chris J. O’Callaghan, Keyue Ding, Anthony Whitton, Michael D. Chan

Bibliographic record

VenueNeuro-Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsMcMaster UniversityQueen's UniversityPrincess Margaret Cancer CentreUniversité de Montréal
Fundersnot available
KeywordsMedicineRadiosurgeryClinical endpointQuality of life (healthcare)Clinical trialInternal medicineOncologyBrain metastasisRadiation therapyRandomized controlled trialCancerMetastasis

Abstract

fetched live from OpenAlex

It is now accepted that for patients with 1–4 brain metastases radiosurgery (SRS) provides improved cognitive and quality of life (QoL) outcomes vs. whole-brain radiotherapy (WBRT). It has been our recent finding that SRS also provides overall survival equivalent to WBRT following resection of a brain metastasis, again with improved cognitive and QoL outcomes. A gap in high-level evidence remains for patients with 5 or more brain metastases. We report on the framework of a Phase III trial. The NCI Brain Malignancies Steering Committee approved the trial concept in March 2017. The trial is to be led by the NCIC and endorsed by the NRG and Alliance for Clinical Trials in Oncology. Planned total accrual is 206 patients randomized to either radiosurgery (volume-based dosing) or WBRT (30Gy in 10 daily fractions) and memantine. Eligible patients will have a maximum total tumor volume of 30cm3. They will have 5–15 parenchymal metastases, free of gross leptomeningeal disease and ECOG performance status 0–2. The primary endpoints will be cognitive deterioration free survival and overall survival. Secondary endpoints include those related to: patient/treatment related outcomes (patterns of failure, validation of a nomogram to predict early appearance of new brain metastases, time to (re-)initiation of systemic therapy, etc.), economic endpoints (comparison based on payer rates (Medicare for US / provincial heath authorities in Canadian jurisdictions with activity-based funding) as well as comparison based on “time based activity costing” in selected institutions), dosimetric endpoints, imaging endpoints and quality of life endpoints. Translational endpoints will include analysis of serum samples to elucidate molecular/genomic mechanisms of neurocognitive decline. Additional translational endpoints are contingent on the outcome of applications for supplemental funding. A collaborative effort has been agreed upon to fill the largest evidence gaps in the focal management of brain 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)0.009
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.124
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.001
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.1240.037

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 head0.332
GPT teacher head0.539
Teacher spread0.207 · 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 designRandomized trial
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

Citations14
Published2017
Admission routes2
Has abstractyes

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