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Record W2070059046 · doi:10.1097/icb.0b013e31819f200e

THE NOVEL USE OF BEVACIZUMAB AND PHOTODYNAMIC THERAPY IN THE TREATMENT OF BEST DISEASE

2009· article· en· W2070059046 on OpenAlexaff
Elliott Brodbaker, Rani Al Karmi, Bernard Hurley, Stuart G. Coupland

Bibliographic record

VenueRetinal Cases & Brief Reports · 2009
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBevacizumabMedicinePhotodynamic therapyChoroidal neovascularizationDiseaseCombination therapyVisual acuityOphthalmologyDermatologySurgeryChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

In Brief Purpose: To report on the novel use of bevacizumab (Avastin) in combination with photodynamic therapy (PDT) for the treatment of Best disease with choroidal neovascularization. Methods: A 17-year-old girl with Best disease, choroidal neovascularization, and subretinal hemorrhage in the right eye was treated with bevacizumab and PDT. Results: The use of bevacizumab and PDT was associated with a change in vision from counting fingers to 20/25 and was well tolerated by the patient. Conclusion: The use of bevacizumab and PDT in the management of Best disease seems to be a very effective method of treatment showing improvement in visual acuity. This is the first case to be reported in the literature of bevacizumab in combination with PDT for the treatment of choroidal neovascularization in Best disease. The use of Bevacizumab and photodynamic therapy (PDT) in the management of Best disease seems to be a very effective method of treatment showing improvement in visual acuity. This is the first case to be reported in the literature of bevacizumab in combination with PDT for the treatment of choroidal neovascularization in Best disease.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.034
GPT teacher head0.310
Teacher spread0.276 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2009
Admission routes1
Has abstractyes

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