Global Burden of Disease Study 2017 (GBD 2017) - Causes of Death 2

Alzheimer disease & other dementias

• Age sex splitting
• CodCorrect
• CODEm (model 1)
• CODEM (model 2)
• Nonfatal database: 10/66 Crosswalk
• Nonfatal database: NIAAA Crosswalk
• Country level covariates: Education meta-analysis
• Dismod-MR 2.1 (model 1)
• Dismod-MR 2.1 (model 2)
• EMR regression
• Garbage code redistribution
• ICD Mapping
• Noise reduction
• Nonfatal age sex splitting and age splitting
• Select coutnries with highest CSMR\prev ratios
• Standardize Input Data
• Multiple cause of death data analysis
• Dementia redistribution

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Amphetamine Dependence

• Age sex splitting
• CodCorrect
• CODEm
• Garbage code redistribution
• ICD mapping
• Noise reduction
• Standardize input data

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Anorexia nervosa

• Age sex splitting
• CodCorrect
• CODEm
• ICD mapping
• Noise reduction
• Standardize input data

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Aortic Aneurysm

• Age sex splitting
• CodCorrect
• CODEm
• Garbage code redistribution
• ICD mapping
• Noise reduction
• Standardize input data

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Appendicitis

• Standardize input data
• ICD mapping
• Age sex splitting
• Garbage code redistribution
• Noise reduction
• CODEm
• CoDCorrect

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Ascariasis

• CodCorrect
• Custom negative binomial regression
• ICD mapping, garbage coding, etc.
• YLL Calculation

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Asthma

• Age sex splitting
• CodCorrect
• CODEm
• Garbage code redistribution
• ICD mapping
• Noise reduction
• Standardize input data

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Atrial fibrillation & flutter

• Cause of death estimation
  • Age sex splitting
  • CODEm
  • Garbage code redistribution
  • ICD Mapping
  • Noise reduction
  • Standardize Input Data
• DisMod-MR 2.1
  • Claims data code adjustment
  • Dismod-MR 2.1 (model 1) Step 2
  • Dismod-MR 2.1 (model 1) Step 4
  • Dismod-MR 2.1 (model 1) Step 6
  • Interpolate to all years
  • Nonfatal age sex splitting
• Excess mortality rate calculation
  • EMR = CSMR\Prevalence
  • Mixed effects regression
  • Select countries
• Final burden estimation
  • CodCorrect

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Bulimia nervosa

• Age sex splitting
• CodCorrect
• CODEm
• ICD mapping
• Noise reduction
• Standardize input data

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Cancers

• Cause of death estimation
  • 1. Format incidence data
  • 1. Format mortality data
  • 2. ICD 10 subtotal recalculation
  • 3. Map incidence data to GBD cause using nonfatal map
  • 3. Map mortality data to GBD cause using mortality map
  • 4. Age\sex split incidence data using proportions from CI5, NORDCAN, and SEER
  • 4. Age\Sex split mortality data using proportions from COD
  • 5. Cause disaggregation
  • 6. Redistribute cancer data
  • 7. Select mortality-incidence data sources
  • 7. Select incidence data sources
  • 8. Combine matching incidence and mortality data
  • 8. Linear model for MI ratio
  • 8. ST-GPR
  • 9. Combine MI estimates with best incidence data
  • 11. Run mortality estimates through CoD prep process
  • 12. CODEm
  • 14. CodCorrect
• Liver Cancer subtypes
  • 16. Model proportions for liver cancer in DisMoD
  • 17. Scaling of proportions to 100%

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Cardiovascular Diseases

• Age sex splitting
• CodCorrect
• CODEm
• Garbage code redistribution
• ICD mapping
• Noise reduction
• Standardize input data

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Cellulitis

• Age sex splitting
• CodCorrect
• CODEm
• Garbage code redistribution
• ICD mapping
• Noise reduction
• Standardize input data

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