Literature DB >> 10326050

Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes.

J P Mackenbach1, A E Kunst, H Lautenbach, Y B Oei, F Bijlsma.   

Abstract

BACKGROUND: It is generally acknowledged that conventional estimates of the potential number of life years to be gained by elimination of causes of death are too generous. This is because these estimates fail to take into account the fact that those who are saved from the cause are likely to have one or more other conditions ("competing" causes of death), which may increase their risks of dying. It is unknown to what extent this introduces bias in comparisons of life years to be gained between underlying causes of death. The purpose of the study was to assess this bias. DATA AND METHODS: A sample of 5975 death certificates from the Netherlands, 1990, was coded for the presence of diseases that, according to a set of explicit rules, could be regarded as potential causes of death "competing" with the underlying cause. Logistic regression analysis was used to quantify age and sex adjusted differences between four main underlying causes of death (neoplasms, cardiovascular diseases, respiratory diseases, all other diseases) in prevalence of the six most frequent competing causes of death (neoplasms, ischaemic heart disease, cerebrovascular disease, other cardiovascular diseases, chronic obstructive lung disease, all other diseases). These prevalence differences were then used to revise conventional calculations of gains in life expectancy, by taking them to indicate differences in risk of dying from these competing causes after the underlying cause has been eliminated.
RESULTS: The prevalence of competing causes of death is relatively low among persons dying from neoplasms as the underlying cause, about average among persons dying from cardiovascular diseases, and relatively high among persons dying from respiratory diseases. Taking this into account results in substantial decreases of potential life years to be gained by elimination of cardiovascular diseases and respiratory diseases, relative to the number of years to be gained by elimination of neoplasms. Specifically, while according to the conventional calculations the gain in life expectancy by elimination of cardiovascular diseases exceeds that for neoplasms by more than one year, in the revised calculations the number of life years to be gained is approximately equal.
CONCLUSIONS: Despite its limitations, mainly relating to reliance on death certificate data, this study suggests that conventional estimates of differences between underlying causes of death in life years to be gained by elimination are seriously biased by ignoring the effects of competing causes. Specifically, the relative impacts of eliminating cardiovascular diseases and respiratory diseases, as compared with eliminating neoplasms, seem to be overestimated. The implications are discussed.

Entities:  

Mesh:

Year:  1999        PMID: 10326050      PMCID: PMC1756767          DOI: 10.1136/jech.53.1.32

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  18 in total

1.  The estimation of the probability of developing a disease in the presence of competing risks.

Authors:  J CORNFIELD
Journal:  Am J Public Health Nations Health       Date:  1957-05

2.  A competing-risk model based on the life table procedure in epidemiological studies.

Authors:  O Wong
Journal:  Int J Epidemiol       Date:  1977-06       Impact factor: 7.196

3.  Mortality from dementia in Norway, 1969-83.

Authors:  T P Flaten
Journal:  J Epidemiol Community Health       Date:  1989-09       Impact factor: 3.710

4.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

Review 5.  Analytical potential for multiple cause-of-death data.

Authors:  R A Israel; H M Rosenberg; L R Curtin
Journal:  Am J Epidemiol       Date:  1986-08       Impact factor: 4.897

6.  The effect of a reduction in leading causes of death: potential gains in life expectancy.

Authors:  S P Tsai; E S Lee; R J Hardy
Journal:  Am J Public Health       Date:  1978-10       Impact factor: 9.308

7.  Competing causes of death: a death certificate study.

Authors:  J P Mackenbach; A E Kunst; H Lautenbach; Y B Oei; F Bijlsma
Journal:  J Clin Epidemiol       Date:  1997-10       Impact factor: 6.437

8.  What difference would it make if cancer were eradicated? An examination of the Taeuber paradox.

Authors:  N Keyfitz
Journal:  Demography       Date:  1977-11

9.  Effects of dependency among causes of death for cause elimination life table strategies.

Authors:  K G Manton; S S Poss
Journal:  Demography       Date:  1979-05

10.  Trends in total mortality and mortality from heart disease in 26 countries from 1950 to 1978.

Authors:  T J Thom; F H Epstein; J J Feldman; P E Leaverton
Journal:  Int J Epidemiol       Date:  1985-12       Impact factor: 7.196

View more
  11 in total

1.  Inequalities in health. Analytic approaches based on life expectancy and suitable for small area comparisons.

Authors:  P J Veugelers; A L Kim; J R Guernsey
Journal:  J Epidemiol Community Health       Date:  2000-05       Impact factor: 3.710

Review 2.  Lipid-lowering therapy for the primary prevention of cardiovascular disease in the elderly: opportunities and challenges.

Authors:  Jennifer G Robinson
Journal:  Drugs Aging       Date:  2009       Impact factor: 3.923

3.  Benefits associated with achieving optimal risk factor levels for the primary prevention of cardiovascular disease in older men.

Authors:  Jennifer G Robinson; Catherine Rahilly-Tierney; Elizabeth Lawler; J Michael Gaziano
Journal:  J Clin Lipidol       Date:  2011-11-07       Impact factor: 4.766

Review 4.  Chronic obstructive pulmonary disease (COPD) and lung cancer screening.

Authors:  Robert P Young; Raewyn J Hopkins
Journal:  Transl Lung Cancer Res       Date:  2018-06

5.  Asthma in the elderly: Current understanding and future research needs--a report of a National Institute on Aging (NIA) workshop.

Authors:  Nicola A Hanania; Monroe J King; Sidney S Braman; Carol Saltoun; Robert A Wise; Paul Enright; Ann R Falsey; Sameer K Mathur; Joe W Ramsdell; Linda Rogers; David A Stempel; John J Lima; James E Fish; Sandra R Wilson; Cynthia Boyd; Kushang V Patel; Charles G Irvin; Barbara P Yawn; Ethan A Halm; Stephen I Wasserman; Mark F Sands; William B Ershler; Dennis K Ledford
Journal:  J Allergy Clin Immunol       Date:  2011-09       Impact factor: 10.793

Review 6.  Asthma in the elderly: what we know and what we have yet to know.

Authors:  Anahí Yáñez; Sang-Hoen Cho; Joan B Soriano; Lanny J Rosenwasser; Gustavo J Rodrigo; Klaus F Rabe; Stephen Peters; Akio Niimi; Dennis K Ledford; Rohit Katial; Leonardo M Fabbri; Juan C Celedón; Giorgio Walter Canonica; Paula Busse; Louis-Phillippe Boulet; Carlos E Baena-Cagnani; Qutayba Hamid; Claus Bachert; Ruby Pawankar; Stephen T Holgate
Journal:  World Allergy Organ J       Date:  2014-05-30       Impact factor: 4.084

Review 7.  Measuring and modeling interventions in aging.

Authors:  Nicholas Stroustrup
Journal:  Curr Opin Cell Biol       Date:  2018-08-10       Impact factor: 8.382

8.  Potential gains in life expectancy by eliminating deaths from cardiovascular diseases and diabetes mellitus in the working life ages among Slovak population.

Authors:  Beata Gavurova; Tatiana Vagasova
Journal:  Health Econ Rev       Date:  2018-08-22

9.  Parameter and model uncertainty in a life-table model for fine particles (PM2.5): a statistical modeling study.

Authors:  Marko Tainio; Jouni T Tuomisto; Otto Hänninen; Juhani Ruuskanen; Matti J Jantunen; Juha Pekkanen
Journal:  Environ Health       Date:  2007-08-23       Impact factor: 5.984

10.  Description and validation of a Markov model of survival for individuals free of cardiovascular disease that uses Framingham risk factors.

Authors:  Chris Martin; Mark Vanderpump; Joyce French
Journal:  BMC Med Inform Decis Mak       Date:  2004-05-24       Impact factor: 2.796

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.