Prevalence, Incidence, and Years Lived With Disability Due to Gout and Its Attributable Risk Factors for 195 Countries and Territories 1990–2017: A Systematic Analysis of the Global Burden of Disease Study 2017
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To describe the levels and trends of point prevalence, annual incidence, and years lived with disability (YLD) for gout and its attributable risk factors in 195 countries and territories from 1990 to 2017 according to age, sex, and Sociodemographic Index (SDI; a composite of sociodemographic factors). METHODS: Data were extracted from the Global Burden of Disease (GBD) 2017 study. A comprehensive systematic review of databases and the disease-modeled analysis were performed by the GBD team at the Institute for Health Metrics and Evaluation, in collaboration with researchers and experts worldwide, to provide estimates at global, regional, and national levels during 1990 and 2017. Counts and age-standardized rates per 100,000 population, along with 95% uncertainty intervals (95% UIs), were reported for point prevalence, annual incidence, and YLD. RESULTS: Globally, there were ~41.2 million (95% UI 36.7 million, 46.1 million) prevalent cases of gout, with 7.4 million incident cases per year (95% UI 6.6 million, 8.5 million) and almost 1.3 million YLD (95% UI 0.87 million, 1.8 million) in 2017. The global age-standardized point prevalence estimates and annual incidence rates in 2017 were 510.6 (95% UI 455.6, 570.3) and 91.8 (95% UI 81.3, 104.1) cases per 100,000 population, respectively, an increase of 7.2% (95% UI 6.4%, 8.1%) and 5.5% (95% UI 4.8%, 6.3%) from 1990. The corresponding age-standardized YLD rate was 15.9 (95% UI 10.7, 21.8) cases per 100,000 persons, a 7.2% increase (95% UI 5.9%, 8.6%) from 1990. In 2017, the global point prevalence estimates for gout were higher in males, and higher prevalence was seen in older age groups and increased with age for both males and females. The burden of gout was generally highest in developed regions and countries. The 3 countries with the highest age-standardized point prevalence estimates of gout in 2017 were New Zealand (1,394.0 cases [95% UI 1,290.1, 1,500.9]), Australia (1,171.4 cases [95% UI 1,038.1, 1,322.9]), and the US (996.0 cases [95% UI 923.1, 1,076.8]). The countries with the highest increases in age-standardized point prevalence estimates of gout from 1990 to 2017 were the US (34.7% [95% UI 27.7%, 43.1%]), Canada (28.5% [95% UI 21.9%, 35.4%]), and Oman (28.0% [95% UI 21.5%, 34.8%]). Globally, high body mass index and impaired kidney function accounted for 32.4% (95% UI 18.7%, 49.2%) and 15.3% (95% UI 13.5%, 17.1%), respectively, of YLD due to gout in the 2017 estimates. The YLD attributable to these risk factors were higher in males. CONCLUSION: The burden of gout increased across the world from 1990 to 2017, with variations in point prevalence, annual incidence, and YLD between countries and territories. Besides improving the clinical management of disease, prevention and health promotion in communities to provide basic knowledge of the disease, risk factors, consequences, and effective treatment options (tailoring to high-risk groups such as the middle-aged male population) are crucial to avoid disease onset and hence to decrease the global disease 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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