Underlying versus multiple causes of death: Effects on interpreting cancer mortality differentials by age, sex, and race

1987 ◽  
Vol 6 (2) ◽  
pp. 149-160 ◽  
Author(s):  
J. Michael Wrigley ◽  
Charles B. Nam
Keyword(s):  
Cancer Mortality ◽  
Causes Of Death ◽  
Multiple Causes Of Death ◽  
Mortality Differentials ◽  
Multiple Causes

Impact of using multiple causes of death codes to compute site-specific, death certificate-based cancer mortality statistics in the United States

2012 ◽  
Vol 36 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Aliza K. Fink ◽  
Robert R. German ◽  
Melonie Heron ◽  
Sherri L. Stewart ◽  
Christopher J. Johnson ◽  
...  
Keyword(s):  
United States ◽  
Cancer Mortality ◽  
Causes Of Death ◽  
Death Certificate ◽  
The United States ◽  
Mortality Statistics ◽  
Site Specific ◽  
Multiple Causes Of Death ◽  
Multiple Causes

scholarly journals Descriptive epidemiology of chronic liver disease in northeastern Italy: an analysis of multiple causes of death

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Ugo Fedeli ◽  
Elena Schievano ◽  
Manola Lisiero ◽  
Francesco Avossa ◽  
Giuseppe Mastrangelo ◽  
...  
Keyword(s):  
Liver Disease ◽  
Chronic Liver Disease ◽  
Causes Of Death ◽  
Chronic Liver ◽  
Descriptive Epidemiology ◽  
Multiple Causes Of Death ◽  
Northeastern Italy ◽  
Multiple Causes

scholarly journals Mortality from asthma in adults in the city of Rio de Janeiro from 2000 to 2009: analysis of multiple causes of death

2013 ◽  
Vol 1 (6) ◽  
Author(s):  
Eliane Miranda da Silva ◽  
Gulnar Azevedo e Silva ◽  
Norma de Paula Motta Rubini ◽  
Carlos Alberto Morais de Sá
Keyword(s):  
Rio De Janeiro ◽  
Causes Of Death ◽  
Multiple Causes Of Death ◽  
The City ◽  
Multiple Causes

scholarly journals Analysis of the Underlying and Multiple Causes of Death for the Kuwaiti Population 40 years and Over in Kuwait; Part I: Demographics

2009 ◽  
Vol 39 (2) ◽  
pp. 253-265
Author(s):  
Kamel Alsaleh ◽  
Mesa Al-Saleh ◽  
Saadoun Al-Azmi ◽  
Ibtesam Alfares ◽  
Bader Alnashi ◽  
...  
Keyword(s):  
Causes Of Death ◽  
Multiple Causes Of Death ◽  
Kuwaiti Population ◽  
Multiple Causes

Increasing epilepsy-related mortality: a multiple causes of death study in Northern Italy

Seizure ◽  
2021 ◽  
Author(s):  
Veronica Casotto ◽  
Federica Ranzato ◽  
Paolo Girardi ◽  
Ugo Fedeli
Keyword(s):  
Causes Of Death ◽  
Northern Italy ◽  
Multiple Causes Of Death ◽  
Related Mortality ◽  
Multiple Causes

Excess liver‐related mortality among people with AIDS compared to the general population: an Italian nationwide cohort study using multiple causes of death

HIV Medicine ◽  
2020 ◽  
Vol 21 (10) ◽  
pp. 642-649
Author(s):  
M Taborelli ◽  
B Suligoi ◽  
F Toffolutti ◽  
L Frova ◽  
E Grande ◽  
...  
Keyword(s):  
Cohort Study ◽  
General Population ◽  
Causes Of Death ◽  
Multiple Causes Of Death ◽  
Related Mortality ◽  
Multiple Causes

scholarly journals Factors associated with reporting multiple causes of death

2005 ◽  
Vol 5 (1) ◽  
Author(s):  
Melanie M Wall ◽  
Jinzhou Huang ◽  
John Oswald ◽  
Diane McCullen
Keyword(s):  
Causes Of Death ◽  
Multiple Causes Of Death ◽  
Factors Associated ◽  
Multiple Causes

scholarly journals Redistribution of heart failure deaths using two methods: linkage of hospital records with death certificate data and multiple causes of death data

2019 ◽  
Vol 35 (5) ◽  
Author(s):  
Ana Luiza Bierrenbach ◽  
Gizelton Pereira Alencar ◽  
Cátia Martinez ◽  
Maria de Fátima Marinho de Souza ◽  
Gabriela Moreira Policena ◽  
...  
Keyword(s):  
Heart Failure ◽  
Causes Of Death ◽  
Kidney Diseases ◽  
Heart Diseases ◽  
National Study ◽  
Mortality Data ◽  
Multiple Causes Of Death ◽  
Underlying Causes ◽  
Garbage Code ◽  
Multiple Causes

Heart failure is considered a garbage code when assigned as the underlying cause of death. Reassigning garbage codes to plausible causes reduces bias and increases comparability of mortality data. Two redistribution methods were applied to Brazilian data, from 2008 to 2012, for decedents aged 55 years and older. In the multiple causes of death method, heart failure deaths were redistributed based on the proportion of underlying causes found in matched deaths that had heart failure listed as an intermediate cause. In the hospitalization data method, heart failure deaths were redistributed based on data from the decedents’ corresponding hospitalization record. There were 123,269 (3.7%) heart failure deaths. The method with multiple causes of death redistributed 25.3% to hypertensive heart and kidney diseases, 22.6% to coronary heart diseases and 9.6% to diabetes. The total of 41,324 heart failure deaths were linked to hospitalization records. Heart failure was listed as the principal diagnosis in 45.8% of the corresponding hospitalization records. For those, no redistribution occurred. For the remaining ones, the hospitalization data method redistributed 21.2% to a group with other (non-cardiac) diseases, 6.5% to lower respiratory infections and 9.3% to other garbage codes. Heart failure is a frequently used garbage code in Brazil. We used two redistribution methods, which were straightforwardly applied but led to different results. These methods need to be validated, which can be done in the wake of a recent national study that will investigate a big sample of hospital deaths with garbage codes listed as underlying causes.

Approximations for Estimating Change in Life Expectancy Attributable to Air Pollution in Relation to Multiple Causes of Death Using a Cause Modified Life Table

Risk Analysis ◽  
2015 ◽  
Vol 35 (8) ◽  
pp. 1468-1478 ◽  
Author(s):  
David M. Stieb ◽  
Stan Judek ◽  
Kevin Brand ◽  
Richard T. Burnett ◽  
Hwashin H. Shin
Keyword(s):  
Air Pollution ◽  
Life Expectancy ◽  
Life Table ◽  
Causes Of Death ◽  
Multiple Causes Of Death ◽  
Multiple Causes
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