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Record W4403209182 · doi:10.1038/s41433-024-03370-0

Treatment regimens for optimising outcomes in patients with neovascular age-related macular degeneration

2024· review· en· W4403209182 on OpenAlex
Kelvin Yi Chong Teo, Bora Eldem, Antonia M. Joussen, Adrian Koh, Jean‐François Korobelnik, Xiaoxin Li, Anat Loewenstein, Monica Lövestam-Adrian, Rafael Navarro, Annabelle A. Okada, Ian Pearce, Francisco Javier Pérez Rodríguez, David T. Wong, Lihteh Wu, Dinah Zur, Javier Zarranz‐Ventura, Paul Mitchell, Varun Chaudhary, Paolo Lanzetta

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

VenueEye · 2024
Typereview
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsMcMaster UniversityUniversity of TorontoSt. Joseph’s Healthcare HamiltonSt. Michael's Hospital
Fundersnot available
KeywordsMacular degenerationMedicineRanibizumabBevacizumabClinical trialDiseaseIntensive care medicineClinical PracticeAfliberceptOphthalmologyInternal medicinePhysical therapyChemotherapy

Abstract

fetched live from OpenAlex

Practice patterns for neovascular age-related macular degeneration (nAMD) have evolved from the landmark registration trials of vascular endothelial growth factor (VEGF) inhibitors. Non-monthly regimens like treat-and-extend (T&E) have become popular due to their effectiveness in clinical practice. T&E regimens attempt to limit the burden of visits and treatments by allowing progressively longer treatment intervals, but in so doing, are potentially associated with the expense of treating quiescent disease. This is acceptable to many patients and their ophthalmologists but can still be problematic in the real-world. Recent studies have further refined the T&E approach by allowing for quicker and longer extension of treatment intervals when less severe disease is detected. With newer drugs offering increased durability, a shift to longer regular intervals may emerge as a new practice pattern for VEGF inhibitor therapy. This review aims to consolidate the current literature on the most effective treatment patterns and update treatment guidelines based on options that are now available. It also summarises new aspects of nAMD management that may help to further refine current practice.

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 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 score0.959
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.031
GPT teacher head0.347
Teacher spread0.316 · 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