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Growth factor-induced therapeutic neovascularization for ischaemic vascular disease: time for a re-evaluation?

2006· review· en· W2028833094 on OpenAlexaff
Michael Lekas, Poli Lekas, David A. Latter, Michael Kutryk, Duncan J. Stewart

Bibliographic record

VenueCurrent Opinion in Cardiology · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsSt. Michael's HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineArteriogenesisTherapeutic angiogenesisNeovascularizationRevascularizationClinical trialVascular endothelial growth factorPlacental growth factorCoronary artery diseaseAngiogenesisDiseaseInternal medicineSurgeryCardiologyVEGF receptors

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Therapeutic angiogenesis and arteriogenesis represent an alternative treatment modality for patients with advanced ischaemic coronary or peripheral artery occlusive disease, who are unsuitable for standard revascularization procedures. RECENT DEVELOPMENTS: Proof-of-concept evidence for therapeutic growth factor, both gene and protein-mediated neovascularization was provided in animal models of chronic myocardial and hindlimb ischaemia. Early human, phase I, trials utilizing the prototypical growth factor families, vascular endothelial growth factor and fibroblast growth factor, documented safety and suggested improvements in anginal symptoms and functional status. Large, randomized, placebo-controlled phase II/III clinical trials have, however, yielded variable results as such studies have suffered from significant limitations in therapeutic approach or design, which limits the ability to draw firm conclusions. SUMMARY: Future trials must incorporate robust delivery strategies and address issues of study design including proper patient selection. Laboratory-based refinements in therapy, including a focus on the promotion of arteriogenesis and the modification of patient 'endotheliopathy', will all further enhance the potential of therapeutic neovascularization strategies.

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)0.001
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 score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.405
Teacher spread0.288 · 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

Citations47
Published2006
Admission routes1
Has abstractyes

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