Literature DB >> 25553846

Comparison of expected health impacts for major cancers: integration of incidence rate and loss of quality-adjusted life expectancy.

Mei-Chuan Hung1, Wu-Wei Lai2, Helen H W Chen3, Wu-Chou Su4, Jung-Der Wang5.   

Abstract

PURPOSE: The study aims to quantify the expected impacts of different cancers through multiplying the incidence rate by loss-of-QALE (quality-adjusted life expectancy), with QALY (quality-adjusted life year) as the common unit, to aid prevention policy decisions.
METHODS: 464,722 patients with pathologically verified cancer registered in the Taiwan Cancer Registry during 1998-2009 were used to estimate lifetime survival through Kaplan-Meier estimation combined with a semi-parametric method. A convenience sample for measuring the utility value with EQ-5D was conducted with 11,453 cancer patients, with the results then multiplied by the survival functions to estimate QALE. The loss-of-QALE was calculated by subtracting the QALE of each cancer cohort from the life expectancy of the corresponding age- and gender-matched reference population. The cumulative incidence rates from age 20 to 79 (CIR₂₀₋₇₉) were calculated to estimate the lifetime risk of cancer for each organ-system.
RESULTS: Liver and lung cancer were found the highest expected lifetime health impacts in males and females, or expected lifetime losses of 0.97 and 0.41 QALYs that could be averted, respectively. While the priority changes for prevention based on expected health impacts were slightly different for females based on standardized mortality rates, those of males involve a broader spectrum, including oral, colorectal, esophageal and stomach cancer.
CONCLUSION: The integration of incidence rate with loss-of-QALE could be used to represent the expected losses that could be averted by prevention, which may be useful in prioritizing strategies for cancer control.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cancer prevention; Health impacts; Incidence rate; Loss-of-QALE (quality-adjusted life expectancy)

Mesh:

Year:  2014        PMID: 25553846     DOI: 10.1016/j.canep.2014.12.004

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  4 in total

1.  The Trends in Health Life Expectancy in Korea according to Age, Gender, Education Level, and Subregion: Using Quality-Adjusted Life Expectancy Method.

Authors:  Min-Woo Jo; Wanu Seo; So Yun Lim; Minsu Ock
Journal:  J Korean Med Sci       Date:  2018-11-02       Impact factor: 2.153

2.  Survival-Weighted Health Profiles in Nasopharyngeal Cancer Patients.

Authors:  Chia-Hsuan Lai; Wen-Cheng Chen; Chiung-Cheng Fang; Miao-Fen Chen
Journal:  Front Oncol       Date:  2021-03-15       Impact factor: 6.244

3.  The use of corticosteroids in patients with COPD or asthma does not decrease lung squamous cell carcinoma.

Authors:  Zhi-Hong Jian; Jing-Yang Huang; Frank Cheau-Feng Lin; Oswald Ndi Nfor; Kai-Ming Jhang; Wen-Yuan Ku; Chien-Chang Ho; Chia-Chi Lung; Hui-Hsien Pan; Yu-Chiu Liang; Ming-Fang Wu; Yung-Po Liaw
Journal:  BMC Pulm Med       Date:  2015-12-03       Impact factor: 3.317

4.  Universal health insurance, health inequality and oral cancer in Taiwan.

Authors:  Fuhmei Wang; Jung-Der Wang; Yu-Wen Hung
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

  4 in total

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