Literature DB >> 26557544

Competing Risk Approach (CRA) for Estimation of Disability Adjusted Life Years (DALY's) for Female Breast Cancer in India.

Radhika Kunnavil1, Chethana Thirthahalli2, Shalini Chandrashekar Nooyi3, N S Shivaraj2, Nandagudi Srinivasa Murthy4.   

Abstract

BACKGROUND: Competing Risk Approach (CRA) has been used to compute burden of disease in terms of Disability Adjusted Life Years (DALYs) based on a life table for an initially disease-free cohort over time.
OBJECTIVE: To compute Years of Life Lost (YLL) due to premature mortality, Years of life lost due to Disability (YLD), DALYs and loss in expectation of life (LEL) using competing risk approach for female breast cancer patients for the year 2008 in India.
MATERIALS AND METHODS: The published data on breast cancer by age & sex, incidence & mortality for the year 2006-2008 relating to six population based cancer registries (PBCR) under Indian Council of Medical Research (ICMR), general mortality rates of 2007 in India, published in national health profile 2010; based on Sample Registration System (SRS) were utilized for computations. Three life tables were constructed by applying attrition of factors: (i) risk of death from all causes ('a'; where a is the general death rate); (ii) risk of incidence and that of death from causes other than breast cancer ('b-a+c'; where 'b' is the incidence of breast cancer and 'c' is the mortality of breast cancer); and (iii) risk of death from all other causes after excluding cancer mortality ('a-c'). Taking the differences in Total Person Years Lived (TPYL), YLD and YLL were derived along with LEL.
RESULTS: CRA revealed that the DALYs were 40209 per 100,000 females in the life time of 0-70+ years with a LEL of 0.11 years per person. Percentage of YLL to DALYs was 28.20% in the cohort.
CONCLUSION: The method of calculation of DALYs based on the CRA is simple and this will help to identify the burden of diseases using minimal information in terms of YLL, YLD, DALYs and LEL.

Entities:  

Keywords:  Burden; Mortality; Probability

Year:  2015        PMID: 26557544      PMCID: PMC4625263          DOI: 10.7860/JCDR/2015/13082.6590

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  6 in total

1.  Disability adjusted life years for cancer patients in India.

Authors:  Nandagudi Srinivasa Murthy; B S Nandakumar; Sreekantaiah Pruthvish; Preethi Sara George; Aleyamma Mathew
Journal:  Asian Pac J Cancer Prev       Date:  2010

Review 2.  Study of social loss or gain from a particular cause: scope for the developing countries - a review with reference to cancer.

Authors:  Murali Dhar; S Lahiri; R Vijayasimha; N C Ashok; N S Murthy
Journal:  Asian Pac J Cancer Prev       Date:  2008 Oct-Dec

3.  When do we need competing risks methods for survival analysis in nephrology?

Authors:  Marlies Noordzij; Karen Leffondré; Karlijn J van Stralen; Carmine Zoccali; Friedo W Dekker; Kitty J Jager
Journal:  Nephrol Dial Transplant       Date:  2013-08-24       Impact factor: 5.992

Review 4.  Role of the cancer registries in determining cancer mortality in Asia?

Authors:  Balkrishnan B Yeole
Journal:  Asian Pac J Cancer Prev       Date:  2006 Jul-Sep

5.  An indirect study of cancer survival in the context of developing countries.

Authors:  Murali Dhar; S Lahiri; Ramnath Takiar; N C Ashok; N S Murthy
Journal:  Asian Pac J Cancer Prev       Date:  2008 Jul-Sep

6.  Competing risks analyses: objectives and approaches.

Authors:  Marcel Wolbers; Michael T Koller; Vianda S Stel; Beat Schaer; Kitty J Jager; Karen Leffondré; Georg Heinze
Journal:  Eur Heart J       Date:  2014-04-07       Impact factor: 29.983

  6 in total

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