Prevalence and Years Lived with Disability of 310 Diseases and Injuries in Iran and its Neighboring Countries, 1990-2015: Findings from Global Burden of Disease Study 2015.
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Due to significant achievements in reducing mortality and increasing life expectancy, the issue of disability from diseases and injuries, and their related interventions, has become one of the most important concerns of health-related research. METHODS: Using data obtained from the GBD 2015 study, the present report provides prevalence and years lived with disability (YLDs) of 310 diseases and injuries by sex and age in Iran and neighboring countries over the period 1990-2015. Age-standardized rates of all causes of YLDs are presented for both males and females in 16 countries for 1990 and 2015. We present the percentage of total YLDs for 21 categories of diseases and injuries, the percentage of YLDs for age groups, as well as the ranking of the most prevalent causes and YLDs from the top 50 diseases and injuries in Iran. RESULTS: In 2015, the burden of 310 diseases and injuries among the Iranian population was responsible for 8,357,878 loss of all-age total years, which is equal to 10.58% of total years lived per year. This differs from the neighboring countries, as it ranges from 9.05% in Turkmenistan to 13.36% in Russia. During the past 25 years, a remarkable decrease was observed in all-cause YLD rates in all 16 countries. Meanwhile, in all countries, the age-standardized rate of all causes of YLDs was higher in females than males. CONCLUSION: Based on our findings, one of the remarkable changes in NCDs observed among the studied age groups was increased rate of YLDs from mental disorders, which was replaced by musculoskeletal disorders in older age groups in 2015.
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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 | 0.001 |
| 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 | 0.000 | 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 it