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Record W2090749024 · doi:10.1080/09286580490888780

Model study of AREDS antioxidant supplementation of AMD compared to Visudyne: A dominant strategy?

2004· article· en· W2090749024 on OpenAlexaffabout
John R. Trevithick, David Massel, James Robertson, Sandy Tomany, Ronald Wall

Bibliographic record

VenueOphthalmic Epidemiology · 2004
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsCanadian Institute for Health InformationWestern University
Fundersnot available
KeywordsMedicineCohortIncidence (geometry)Cohort studyDemographyGerontologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: In Ontario, Canada, in a cohort of all people initially aged 50-54 years, modeling whether the Age-Related Eye Disease Study (AREDS) antioxidant supplementation for stage 3 and 4 AMD would decrease the costs of photodynamic treatment with Visudyne. PERSPECTIVE: Third party payer, the Ontario Health Insurance Plan. METHODS: Using reported risk reductions, prevalence data by age and sex from the Beaver Dam studies, and yearly costs: AREDS 182.50 Canadian dollars, potential savings were calculated as the difference or incremental cost between the estimated medical costs for the untreated cohort of 17,000 Canadian dollars for Visudyne treatment of individuals with neovascularization and the same cohort if stage 3 and 4 AMD patients were treated with antioxidants, decreasing progression to neovascularization. Different scenarios were explored for sensitivity analysis of direct cost savings. RESULTS: For the Ontario cohort of approximately 788,000 aged 51-55 years in 2001, for photodynamic therapy of the untreated cohort, modeled costs were 1.7 billion Canadian dollars. AREDS treatment costs would be 513 million Canadian dollars. AREDS would reduce photodynamic therapy costs, a net saving of 431 million Canadian dollars, a saving of 547 Canadian dollars per person in the total cohort, or 6,753 Canadian dollars per stage 3 and 4 patient treated. To explore the sensitivity of this model to AMD incidence rather than prevalence data, Framingham incidence data were incorporated in the model: net savings of 70.3 million Canadian dollars were modeled using Framingham incidence data. CONCLUSION: Under reasonable assumptions, if the case progresses to wet AMD (1) AREDS with Visudyne is less expensive than Visudyne alone in every five-year time period for the cohort that is age 50-54 right now until they become 75-79; thus, the lifetime cost is lower; (2) AREDS with Visudyne yields more QALYs than Visudyne alone in every five-year interval; (3) under all but the most extreme assumptions, the conclusions reached are robust. Even when AREDS costs a little more, it yields more QALYs at a reasonable cost per QALY. Thus, AREDS antioxidant supplementation appears to be a dominant strategy for macular degeneration. Applied to the whole Canadian population, the potential medical cost savings for Visudyne treatment of neovascular AMD are 5.6 billion Canadian dollars in direct costs. These values would be tenfold higher for the USA, because of the currency and population size differences.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.572

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.150
GPT teacher head0.456
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations20
Published2004
Admission routes2
Has abstractyes

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