Impact of cancer diagnosis on life expectancy by area-level socioeconomic groups in New South Wales,Australia:a population-based study
摘要Objective:Improvement in cancer survival over recent decades has not been accompanied by a narrowing of socioeconomic disparities.This study aimed to quantify the loss of life expectancy(LOLE)resulting from a cancer diagnosis and examine disparities in LOLE based on area-level socioeconomic status(SES).Methods:Data were collected for all people between 50 and 89 years of age who were diagnosed with cancer,registered in the NSW Cancer Registry between 2001 and 2019,and underwent mortality follow-up evaluations until December 2020.Flexible parametric survival models were fitted to estimate the LOLE by gender and area-level SES for 12 common cancers.Results:Of 422,680 people with cancer,24%and 18%lived in the most and least disadvantaged areas,respectively.Patients from the most disadvantaged areas had a significantly greater average LOLE than patients from the least disadvantaged areas for cancers with high survival rates,including prostate[2.9 years(95%CI:2.5-3.2 years)vs.1.6 years(95%CI:1.3-1.9 years)]and breast cancer[1.6 years(95%CI:1.4-1.8 years)vs.1.2 years(95%CI:1.0-1.4 years)].The highest average LOLE occurred in males residing in the most disadvantaged areas with pancreatic[16.5 years(95%CI:16.1-16.8 years)vs.16.2 years(95%CI:15.7-16.7 years)]and liver cancer[15.5 years(95%CI:15.0-16.0 years)vs.14.7 years(95%CI:14.0-15.5 years)].Females residing in the least disadvantaged areas with thyroid cancer[0.9 years(95%CI:0.4-1.4 years)vs.0.6 years(95%CI:0.2-1.0 years)]or melanoma[0.9 years(95%CI:0.8-1.1 years)vs.0.7 years(95%CI:0.5-0.8 years)]had the lowest average LOLE.Conclusions:Patients from the most disadvantaged areas had the highest LOLE with SES-based differences greatest for patients diagnosed with cancer at an early stage or cancers with higher survival rates,suggesting the need to prioritise early detection and reduce treatment-related barriers and survivorship challenges to improve life expectancy.
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