Literature DB >> 30897387

Rational targeting of population groups and residential areas for colorectal cancer screening.

Ulf Strömberg1, Stefan Peterson2, Anders Holmén3, Erik Holmberg4, Rolf Hultcrantz5, Anna Martling6, Mef Nilbert7.   

Abstract

BACKGROUND: Sociodemographic and spatial disparities in incidence and mortality burden of colorectal cancer (CRC) are important to consider in the implementation of population screening, in order to achieve expected benefit and not increase health inequities. Analytic methods should be adapted to provide rational support for targeted interventions.
METHODS: CRC incidence rates by tumor stage (I-IV) and location (colon vs. rectum) were analyzed for the time period 2008-2016 within a screening-relevant age interval of 55-74 years for the population of South and West Sweden, where screening is planned for. The study population was stratified by sex, country of birth, educational level (for Swedish-born citizens) and residential area. We also estimated disparities in excess mortality from CRC across groups of patients accordant to relevant population groups.
RESULTS: The analyses were based on 8961 patients with a first CRC diagnosis. There were marked socioeconomic gradients in the stage II-IV CRC incidence rates among Swedish-born men and women. Compared to men with high educational level, the incidence rate ratios (IRRs) of stage II, III, and IV CRC in men with low educational level were 1.38 (95% confidence interval 1.18, 1.62), 1.09 (0.95, 1.26), and 1.18 (1.02, 1.37), respectively. In women, the corresponding figures were 1.26 (1.06, 1.51), 1.19 (1.01, 1.39), and 1.45 (1.20, 1.80). The groups of patients with low educational level showed relatively high excess mortality burdens from CRC.
CONCLUSIONS: Our analytic approach provided rational support for targeted intervention when implementing CRC screening, aiming at optimizing participation in groups with low educational level.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer prevention; Incidence mapping; Mortality; Population groups; Socioeconomic inequalities

Mesh:

Year:  2019        PMID: 30897387     DOI: 10.1016/j.canep.2019.01.009

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


  5 in total

1.  Identification of long non-coding RNA SCARNA9L as a novel molecular target for colorectal cancer.

Authors:  Jie Chai; Jianbo Zhang; Dali Han; Wei Dong; Li Han; Lei Zou; Bin Feng; Baosheng Li; Wanli Ma
Journal:  Oncol Lett       Date:  2020-05-21       Impact factor: 2.967

2.  A systematic review of methods to estimate colorectal cancer incidence using population-based cancer registries.

Authors:  Norah Alsadhan; Alaa Almaiman; Mar Pujades-Rodriguez; Cathy Brennan; Farag Shuweihdi; Sultana A Alhurishi; Robert M West
Journal:  BMC Med Res Methodol       Date:  2022-05-19       Impact factor: 4.612

3.  Disease mapping of early- and late-stage cancer to monitor inequalities in early detection: a study of cutaneous malignant melanoma.

Authors:  Ulf Strömberg; Brandon L Parkes; Anders Holmén; Stefan Peterson; Erik Holmberg; Amir Baigi; Frédéric B Piel
Journal:  Eur J Epidemiol       Date:  2020-04-30       Impact factor: 8.082

4.  Colorectal cancer screening with fecal immunochemical testing or primary colonoscopy: An analysis of health equity based on a randomised trial.

Authors:  U Strömberg; C Bonander; M Westerberg; L Å Levin; C Metcalfe; R Steele; L Holmberg; A Forsberg; R Hultcrantz
Journal:  EClinicalMedicine       Date:  2022-04-16

Review 5.  Aspects of colorectal cancer screening, methods, age and gender.

Authors:  R Hultcrantz
Journal:  J Intern Med       Date:  2020-09-14       Impact factor: 8.989

  5 in total

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