The effects of age-related macular degeneration on work productivity: A meta-analysis
Bibliographic record
Abstract
Age-related macular degeneration (AMD) is one of the leading causes of vision loss and blindness in older adults. Given the aging population in developed countries and the increased participation of older adults in the labour market, this paper aims to understand the impact of AMD on workplace productivity. Economic studies, comparative studies, observational studies, cohort studies, case series, randomized control trials, clinical trials, multicenter studies from MEDLINE, EMBASE, and CINHAL, as well as grey literature, were systematically searched to obtain all relevant literature. Duplicate records were removed, and two independent reviewers screened records for relevance. After screening, a risk of bias assessment was carried out. Data were extracted and a meta-analysis was performed using STATA 15.0. Fixed-effect and random-effect models were computed based on heterogeneity. Seven studies consisting of 3,060,864 subjects from 5 different countries were included in this systematic review. Mean wages lost due to impaired work productivity ranged from $1,395 to $55,180. The mean unemployment rate attributed to AMD ranged from 5.50% to 77.00%. Meta-analysis results indicated a significant unemployment rate (SMD = 0.44, CI: [0.27, 0.62]). Patients with AMD experience impaired work productivity as demonstrated by the wages lost and significantly higher rates of unemployment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".