ArticlePloS one2020
lillies: An R package for the estimation of excess Life Years Lost among patients with a given disease or condition.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Adding Short-Term Androgen Deprivation Therapy to Radiation Therapy in Men With Localized Prostate Cancer: Long-Term Update of the NRG/RTOG 9408 Randomized Clinical Trial.International journal of radiation oncology, biology, physics · 2022Trial
- Subtypes of Type 2 Diabetes and Prediabetes: Mortality and Excess Life Lost in South Asians.Diabetes care · 2026Article
- Age at type 2 diabetes diagnosis, mortality, and health loss in South Asians.Diabetes research and clinical practice · 2026Article
- Demographic Factors and Trends Associated with Mortality After AIDS Diagnosis in Puerto Rico.Infectious disease reports · 2026Article
- What can administrative registers tell us about the widening in life expectancy gap in people with mental disorders?BJPsych open · 2025Article
- Life-years lost associated with mental disorders in people with HIV: a cohort study in South Africa, Canada and the United States.Journal of the International AIDS Society · 2025Article
- Time trends in life expectancy of people with severe mental illness in Scotland, 2000-2019: population-based study.BJPsych open · 2025Article
- The effect between metabolic syndrome and life expectancy after cancer diagnosis: Catalan cohort study.BMC public health · 2025Article
- Contribution of severe mental disorders to fatally harmful effects of physical disorders: national cohort study.The British journal of psychiatry : the journal of mental science · 2024Article
- Atrial fibrillation: age at diagnosis, incident cardiovascular events, and mortality.European heart journal · 2024Article
- The Lifespan Disparity Dataset: An open repository on inequality and polarization in length of life (1950-2021).Scientific data · 2024Article
- Life years lost associated with mental illness: A cohort study of beneficiaries of a South African medical insurance scheme.Journal of affective disorders · 2023Article
- Article
- Cumulative burden of 144 conditions, critical care hospitalisation and premature mortality across 26 adult cancers.Nature communications · 2023Article
- Influence of poor sleep on cardiovascular disease-free life expectancy: a multi-resource-based population cohort study.BMC medicine · 2023Article
- Life-years lost associated with mental illness: a cohort study of beneficiaries of a South African medical insurance scheme.medRxiv : the preprint server for health sciences · 2023Article
- Article
- Diagnosis and treatment of opioid-related disorders in a South African private sector medical insurance scheme: A cohort study.The International journal on drug policy · 2022Article
- Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study.PLoS medicine · 2022Article
- Educational attainment and mortality in schizophrenia.Acta psychiatrica Scandinavica · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Life expectancy at a given age is a summary measure of mortality rates present in a population (estimated as the area under the survival curve), and represents the average number of years an individual at that age is expected to live if current age-specific mortality rates apply now and in the future. A complementary metric is the number of Life Years Lost, which is used to measure the reduction in life expectancy for a specific group of persons, for example those diagnosed with a specific disease or condition (e.g. smoking). However, calculation of life expectancy among those with a specific disease is not straightforward for diseases that are not present at birth, and previous studies have considered a fixed age at onset of the disease, e.g. at age 15 or 20 years. In this paper, we present the R package lillies (freely available through the Comprehensive R Archive Network; CRAN) to guide the reader on how to implement a recently-introduced method to estimate excess Life Years Lost associated with a disease or condition that overcomes these limitations. In addition, we show how to decompose the total number of Life Years Lost into specific causes of death through a competing risks model, and how to calculate confidence intervals for the estimates using non-parametric bootstrap. We provide a description on how to use the method when the researcher has access to individual-level data (e.g. electronic healthcare and mortality records) and when only aggregated-level data are available.
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