COSTS OF NEWLY DIAGNOSED NEOVASCULAR AGE-RELATED MACULAR DEGENERATION AMONG MEDICARE BENEFICIARIES, 2004–2008
Bibliographic record
Abstract
In Brief Purpose: To examine associations between newly diagnosed neovascular age-related macular degeneration and direct medical costs. Methods: This retrospective observational study matched 23,133 Medicare beneficiaries diagnosed with neovascular age-related macular degeneration between 2004 and 2008 with a control group of 92,532 beneficiaries on the basis of age, sex, and race. The index date for each case–control set corresponded to the first diagnosis for the case. Main outcome measures were total costs per patient and age-related macular degeneration–related costs per case 1 year before and after the index date. Results: Mean cost per case in the year after diagnosis was $12,422, $4,884 higher than the year before diagnosis. Postindex costs were 41% higher for cases than controls after adjustment for preindex costs and comorbid conditions. Age-related macular degeneration–related costs represented 27% of total costs among cases in the postindex period and were 50% higher for patients diagnosed in 2008 than in 2004. This increase was attributable primarily to the introduction of intravitreous injections of vascular endothelial growth factor antagonists. Intravitreous injections averaged $203 for patients diagnosed in 2004 and $2,749 for patients diagnosed in 2008. Conclusion: Newly diagnosed neovascular age-related macular degeneration was associated with a substantial increase in total medical costs. Costs increased over time, reflecting growing use of anti–vascular endothelial growth factor therapies. In a retrospective observational study of 23,133 Medicare beneficiaries with newly diagnosed neovascular age-related macular degeneration and 92,532 matched controls, age-related macular degeneration was associated with a substantial increase in total medical costs. Costs increased over time, reflecting growing use of vascular endothelial growth factor antagonists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".