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Record W2013171624 · doi:10.1159/000355569

Cardiac Issues of Noncardiac Drugs: The Rising Story of Avastin in Age-Related Macular Degeneration

2013· review· en· W2013171624 on OpenAlex
Alan F. Cruess, Nicholas Giacomantonio

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

VenueOphthalmologica · 2013
Typereview
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsCapital District Health AuthorityDalhousie University
Fundersnot available
KeywordsMacular degenerationMedicineBevacizumabPharmacovigilanceClinical trialIntensive care medicineDrugPopulationOphthalmologyRanibizumabPharmacologySurgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Emerging safety data, accompanied with recent demographic trends, point to the need for an in-depth review and consideration of potential consequences that might arise from continuing use of bevacizumab (Avastin®) to treat elderly patients presenting with wet age-related macular degeneration (AMD). Although it is expected that lower doses of Avastin used for intravitreal administration and an intact blood-retina barrier would reduce the systemic exposure of the drug, both animal and human studies suggest that this may not be the case. In addition, emerging real-world and clinical trial data continue to point toward compromises in both cardio- and cerebrovascular safety with Avastin. Thus, clinicians are urged to adopt the highest possible standard of care in the treatment of an already fragile AMD population. Furthermore, postmarketing surveillance and pharmacovigilance with intravitreal anti-VEGF inhibitors should remain a priority.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.056
GPT teacher head0.363
Teacher spread0.307 · 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