Literature DB >> 18585016

Demographic differences between cancer survivors and those who die quickly of their disease.

P A Groome1, K M Schulze, S Keller, W J Mackillop.   

Abstract

AIMS: Some people diagnosed with cancer die extremely quickly of their disease. We investigated whether certain demographic and geographical characteristics were associated with these early deaths.
MATERIALS AND METHODS: The Ontario Cancer Registry enhanced with census data was used to study early death in patients aged 40-69 years, diagnosed between 1990 and 1997 with colorectal, female breast, head and neck, lung, prostate, stomach, or primary cancer of unknown origin. For each site, cases were either those who constituted the quickest 10% of deaths, or those who died within 30 days, whichever was the larger number (n = 5022). Controls were those still alive at 1 year (n = 59 406). Analyses were stratified by disease site and logistic regression identified independent effects. Characteristics included: age, gender, area-level socioeconomic status, county of residence, urban/rural residence, diagnosis year, and distance to a cancer centre.
RESULTS: Lower socioeconomic status (all sites) and increasing age (all sites except prostate and primary of unknown origin) were most strongly and consistently associated with early death. Male gender was a risk factor for early death from lung cancer. Living in urban areas was a risk factor for breast, lung, and unknown primary cancers.
CONCLUSIONS: People living in poorer and/or urban areas and the young-elderly are more susceptible to a very late cancer diagnosis. Unequal access to cancer care can lead to devastating consequences for vulnerable sectors of society.

Entities:  

Mesh:

Year:  2008        PMID: 18585016     DOI: 10.1016/j.clon.2008.05.006

Source DB:  PubMed          Journal:  Clin Oncol (R Coll Radiol)        ISSN: 0936-6555            Impact factor:   4.126


  7 in total

1.  Access to cancer care in northwestern Ontario-a population-based study using administrative data.

Authors:  M Febbraro; M Conlon; J Caswell; N Laferriere
Journal:  Curr Oncol       Date:  2020-06-01       Impact factor: 3.677

2.  Head and Neck Cancer Survival Disparities by Race and Rural-Urban Context.

Authors:  Jacob A Clarke; Alyssa M Despotis; Ricardo J Ramirez; Jose P Zevallos; Angela L Mazul
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-07-29       Impact factor: 4.090

3.  The Estimation of Survival Function for Colon Cancer Data in Tehran Using Non-parametric Bayesian Model.

Authors:  Alireza Abadi; Farzaneh Ahmadi; Hamid Alavi Majd; Mohammad Esmaeil Akbari; Zainab Abolfazli Khonbi; Esmat Davoudi Monfared
Journal:  Iran J Cancer Prev       Date:  2013

4.  Patterns of health care utilization preceding a colorectal cancer diagnosis are strong predictors of dying quickly following diagnosis.

Authors:  Robin Urquhart; Grace Johnston; Mohamed Abdolell; Geoff A Porter
Journal:  BMC Palliat Care       Date:  2015-01-20       Impact factor: 3.234

5.  Associations of Demographic and Socioeconomic Factors with Complete Treatment and Follow-up of Colon Cancer.

Authors:  Esmat Davoudi-Monfared; Mohammad Ali Heidarnia; Mohammad Esmail Akbari; Parvin Yavari; Alireza Abadi
Journal:  Iran J Cancer Prev       Date:  2012

6.  Influence of Preexisting Diabetes on Survival After a Breast Cancer Diagnosis in First Nations Women in Ontario, Canada.

Authors:  Amanda J Sheppard; Anna M Chiarelli; Anthony J G Hanley; Loraine D Marrett
Journal:  JCO Glob Oncol       Date:  2020-02

7.  Health Equity in National Cancer Control Plans: An Analysis of the Ontario Cancer Plan.

Authors:  Ambreen Sayani
Journal:  Int J Health Policy Manag       Date:  2019-09-01
  7 in total

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