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Record W2983703208 · doi:10.1093/neuonc/noz175.012

ATIM-12. AVELUMAB IN NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME-THE SEJ STUDY

2019· article· en· W2983703208 on OpenAlexaff
François Jacques, Garth Nicholas, Ian Lorimer, Victorine Sikatifoko, Nathalie Dumais

Bibliographic record

VenueNeuro-Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversity of OttawaOttawa HospitalClinique Neuro-Outaouais
Fundersnot available
KeywordsAvelumabTemozolomideMedicineRadiation therapyOncologyInternal medicineGlioblastomaInterim analysisImmunotherapyClinical trialNivolumabCancer researchCancer

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION Glioblastoma Multiforme (GBM) has well documented systemic and local immunosuppressive mechanisms to escape immune surveillance. GBM tumor cells as well as the microglia within it have a high PD-L1 surface expression which may make it susceptible to anti-PD-L1 antagonism and ADCC with avelumab therapy. Combining immunotherapy to other chemotherapeutic agents have proven benefical in certain cancers. A clinical trial looking at adding avelumab to standard therapy in patients with newly diagnosed GBM is indicated. METHODS This is a single center, phase 2, open label study of avelumab 10 mg/kg Q2W for 156 weeks duration in patients receiving standard therapy for newly diagnosed GBM. Thirty patients will be entered into the study within 3 weeks of completing combined radiotherapy/temozolomide. Here we will report the results our second interim analysis when the first 20 patients will have completed 52 weeks or an end of study event which will occur in 10–2019. RESULTS The results will be presented at the meeting

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.297
Teacher spread0.280 · 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 designNon-randomized 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

Citations0
Published2019
Admission routes1
Has abstractyes

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