Reclassification and Weighting of Multiple Causes of Death: US Death Certificates 2003-2023

In death certificates Entity Axis reflects reported death causes in their original order, and Record Axis reflects standardized re-classifications processed with expert rules. Additionally, while conventional mortality statistics consider a single underlying cause ignoring multiple contributing conditions, weighting schemes may consider all listed causes. We evaluated the impact of re-classification and weighting schemes across all 56,986,831 US death certificates from 2003-2023. ICD-10 codes were mapped to 14 broad disease categories. We recorded the frequency of changes and concordance in reported underlying cause of death between Entity and Record Axes. We considered weighting schemes for attributing mortality burden with Record Axis data: W1 (50% weight to underlying cause, 50% distributed equally among contributing causes), W2 (equal weighting across all causes) and W2A (equal weighting across all causes at ICD-10 level). Entity and Record Axes agreed on underlying cause category in 84.8% and on specific ICD-10 code in 68.9%. Reclassification from Entity Axis to Record Axis markedly increased COVID-19 (+92%) and Transport (+44%) and markedly decreased deaths from Other External Causes (-54%). Weighting schemes substantially altered death burden attribution: e.g. they reduced COVID-19 (-44-63%) and Falls (-46-66%), and changes tended to be more prominent with W2 and W2A than with W1 weighting. Weighting brought death counts per disease category closer to the Entity Axis. Weighting also restored Respiratory seasonality patterns. Systematic differences between reported and re-classified causes of death and weighting schemes for multiple causes profoundly change some disease burden estimates with major implications for resource allocation and public health priorities.

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Publication Details

Journal
medRxiv
Published
2026-02-03
DOI
https://doi.org/10.64898/2026.01.31.26345264
Primary Topic
Autopsy Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

Reclassification and Weighting of Multiple Causes of Death: US Death Certificates 2003-2023

Gal Oren, Ben Marten, John Ioannidis, Michael Levitt
medRxiv
Autopsy Techniques and Outcomes
article

Reclassification and Weighting of Multiple Causes of Death: US Death Certificates 2003-2023

Gal Oren, Ben Marten, John Ioannidis, Michael Levitt
article en

Abstract

In death certificates Entity Axis reflects reported death causes in their original order, and Record Axis reflects standardized re-classifications processed with expert rules. Additionally, while conventional mortality statistics consider a single underlying cause ignoring multiple contributing conditions, weighting schemes may consider all listed causes. We evaluated the impact of re-classification and weighting schemes across all 56,986,831 US death certificates from 2003-2023. ICD-10 codes were mapped to 14 broad disease categories. We recorded the frequency of changes and concordance in reported underlying cause of death between Entity and Record Axes. We considered weighting schemes for attributing mortality burden with Record Axis data: W1 (50% weight to underlying cause, 50% distributed equally among contributing causes), W2 (equal weighting across all causes) and W2A (equal weighting across all causes at ICD-10 level). Entity and Record Axes agreed on underlying cause category in 84.8% and on specific ICD-10 code in 68.9%. Reclassification from Entity Axis to Record Axis markedly increased COVID-19 (+92%) and Transport (+44%) and markedly decreased deaths from Other External Causes (-54%). Weighting schemes substantially altered death burden attribution: e.g. they reduced COVID-19 (-44-63%) and Falls (-46-66%), and changes tended to be more prominent with W2 and W2A than with W1 weighting. Weighting brought death counts per disease category closer to the Entity Axis. Weighting also restored Respiratory seasonality patterns. Systematic differences between reported and re-classified causes of death and weighting schemes for multiple causes profoundly change some disease burden estimates with major implications for resource allocation and public health priorities.

medRxiv
World Water Watch (US), Stanford Medicine (US), Stanford University (US)
National Institutes of Health, Office of Naval Research, National Institute of Environmental Health Sciences
Good health and well-being
Openalex Percentile: Top 69%
Autopsy Techniques and Outcomes
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