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Record W1970338231 · doi:10.4021/gr2008.11.1250

Clinical Trials of Antiangiogenesis Therapy on Gastric Cancer

2008· review· en· W1970338231 on OpenAlexaffvenue
Li Cun Wu

Bibliographic record

VenueGastroenterology Research · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineAngiogenesisMetastasisCancerClinical trialAntiangiogenic therapyNeovascularizationCancer researchOncologyPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Both malignant tumor growth and metastasis are dependent upon angiogenesis, a process of new blood vessel formation. Inhibition of this process by specific inhibitors might be able to control tumor growth and metastasis. Therefore, antiangiogenesis thereapy is considered a promising strategy and being studied worldwide. A wide variety of angiogenesis inhibitors have been identified and some of them are under clinical trials in the advanced patients with cancer including gastric cancer. This review summarizes the development and progress of angiogenesis inhibitors in recent decades, and discusses the future direction of antiangiogenesis research, and the potential antiangiogenic agents which are most likely to be translated into standard treatment for gastrointestinal cancer patients either alone or combined with other therapies.

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)0.006
metaresearch head score (Gemma)0.001
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 score0.945
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.412
GPT teacher head0.557
Teacher spread0.145 · 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

Citations3
Published2008
Admission routes2
Has abstractyes

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