Dataset Information

Life tables adjusted for comorbidity more accurately estimate noncancer survival for recently diagnosed cancer patients.

ABSTRACT: OBJECTIVES:To provide cancer patients and clinicians with more accurate estimates of a patient's life expectancy with respect to noncancer mortality, we estimated comorbidity-adjusted life tables and health-adjusted age. STUDY DESIGN AND SETTING:Using data from the Surveillance Epidemiology and End Results-Medicare database, we estimated comorbidity scores that reflect the health status of people who are 66 years of age and older in the year before cancer diagnosis. Noncancer survival by comorbidity score was estimated for each age, race, and sex. Health-adjusted age was estimated by systematically comparing the noncancer survival models with US life tables. RESULTS:Comorbidity, cancer status, sex, and race are all important predictors of noncancer survival; however, their relative impact on noncancer survival decreases as age increases. Survival models by comorbidity better predicted noncancer survival than the US life tables. The health-adjusted age and national life tables can be consulted to provide an approximate estimate of a person's life expectancy, for example, the health-adjusted age of a black man aged 75 years with no comorbidities is 67 years, giving him a life expectancy of 13 years. CONCLUSION:The health-adjusted age and the life tables adjusted by age, race, sex, and comorbidity can provide important information to facilitate decision making about treatment for cancer and other conditions.

SUBMITTER: Mariotto AB

PROVIDER: S-EPMC3934002 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

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Life tables adjusted for comorbidity more accurately estimate noncancer survival for recently diagnosed cancer patients.

Mariotto Angela B AB Wang Zhuoqiao Z Klabunde Carrie N CN Cho Hyunsoon H Das Barnali B Feuer Eric J EJ

Journal of clinical epidemiology 20130910 12

<h4>Objectives</h4>To provide cancer patients and clinicians with more accurate estimates of a patient's life expectancy with respect to noncancer mortality, we estimated comorbidity-adjusted life tables and health-adjusted age.<h4>Study design and setting</h4>Using data from the Surveillance Epidemiology and End Results-Medicare database, we estimated comorbidity scores that reflect the health status of people who are 66 years of age and older in the year before cancer diagnosis. Noncancer surv ...[more]

PMID: 24035494

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Project description:ObjectivesTo explore sequences of annual states of activity and sickness absence (SA) or disability pension (DP) (SA/DP) among working-aged people with multiple sclerosis (PwMS) as well as characteristics associated with the identified types of working-life sequences.DesignNationwide Swedish register-based cohort study from 1 year prior to 5 years after the year of multiple sclerosis (MS) diagnosis.SettingSweden.ParticipantsPwMS diagnosed in 2008-2011 when aged 20-55 (n=2652, 69.9% women).Primary and secondary outcome measuresIndividual-level sequences spanning 7 years were constructed with annual states regarding activity (income from paid work, student allowances, parental leave or unemployment compensation) and/or SA/DP. Types of working-life sequences were identified among the individuals' sequences using hierarchical cluster analysis with optimal matching dissimilarity measures.ResultsSix types of working-life sequences were identified. The largest cluster, Stable High Activity, represented 48.4% of the cohort. Other types were: Stable High SA/DP (14.5%); Other (4.5%); and three types with mixed activity and varying SA/DP regarding the number of days/year and timing (32.6%). Characteristics of the different identified types of sequences were subsequently investigated. All types of sequences had lower odds for university education (OR range: 0.18-0.72) compared with Stable High Activity. Increasingly higher odds of having anxiety/depression compared with Stable High Activity were observed across the types of sequences, by increasing proportions of SA/DP. Stable High SA/DP sequences were less likely than Stable High Activity to be prescribed MS drugs in the MS diagnosis year (OR 0.61; 95% CI 0.47 to 0.78). All types of sequences had higher disposable income in the final study year than the first, except for Stable High SA/DP sequences (Swedish Krona 4669, 95% CI -1892 to 11 230).ConclusionsDiversity in working life was influenced by sociodemographic and clinical characteristics resulting in different activity and SA/DP patterns across the six identified types of working-life sequences.

Dataset Information

Life tables adjusted for comorbidity more accurately estimate noncancer survival for recently diagnosed cancer patients.

Publications

Life tables adjusted for comorbidity more accurately estimate noncancer survival for recently diagnosed cancer patients.

Similar Datasets

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