Burden of neurodegenerative diseases in the Eastern Mediterranean Region, 1990–2016: findings from the Global Burden of Disease Study 2016
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The Eastern Mediterranean Region (EMR) is experiencing a demographic shift towards rapid aging at a time of political unrest. We aimed to estimate the burden of neurodegenerative disorders and its relationship with sociodemographic index in the EMR countries from 1990 to 2016. METHODS: Using data from the Global Burden of Disease Study 2016, we calculated country-specific trends for prevalence, mortality, disability-adjusted life-years (DALY), years of life lost and years lived with disability (YLD) for Alzheimer's disease/other dementias and Parkinson's disease in the EMR during 1990-2016. RESULTS: In the EMR, the age-standardized prevalence rate of Alzheimer's disease/other dementias and Parkinson's disease was estimated at 759.8/100 000 (95% uncertainty intervals, 642.9-899.9) and 87.1/100 000 (95% uncertainty intervals, 69.8-108.2) people in 2016, demonstrating 0.01% and 42.3% change from 1990, respectively. Neurodegenerative disorders contributed to 5.4% of total DALY and 4.6% of total YLD among the older EMR population (70 years of age or older in 2016). Age-standardized DALY due to Parkinson's disease were strongly correlated with the sociodemographic index level (r = 0.823, P < 0.001). The YLD:DALY ratio of neurodegenerative diseases declined during this period in the low-income but not the high-income EMR countries. CONCLUSIONS: Our findings demonstrated an increasing trend in the burden of dementias and Parkinson's disease in most EMR countries between 1990 and 2016. With aging of the EMR populations, countries should target the modifiable risk factors of neurodegenerative diseases to control their increasing burden.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it