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Record W2057495794 · doi:10.1517/13543784.2011.565329

Brivanib alaninate for cancer

2011· review· en· W2057495794 on OpenAlex
Iván Díaz-Padilla, Lillian L. Siu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Opinion on Investigational Drugs · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsCetuximabMedicinePharmacodynamicsPharmacologyCancerRegorafenibAngiogenesisColorectal cancerPharmacokineticsOncologyInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Angiogenesis inhibition represents a rational therapeutic strategy in the management of solid tumors. Brivanib is a dual tyrosine kinase inhibitor with selectivity against VEFGR-2 and FGFR. AREAS COVERED: This review provides an updated summary of preclinical and clinical experience with brivanib in cancer. Data presented in abstract form from international conferences or journal articles found with a PubMed search of published literature up to December 2010 are described in this review. EXPERT OPINION: Brivanib appears tolerable and exhibits favorable pharmacokinetic and pharmacodynamic profiles with evidence of target inhibition in surrogate tissues. Clinical and pharmacodynamic data support an oral once daily administration at 800 mg. Brivanib shows promising activity as single agent in hepatocellular carcinoma and in combination with cetuximab in colorectal cancer. Further evaluations with cytotoxic chemotherapy and in other solid tumors are currently ongoing.

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.

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 score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.117
GPT teacher head0.413
Teacher spread0.297 · 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