Literature DB >> 25242087

Effectiveness of population-based service screening with mammography for women ages 40 to 49 years with a high or low risk of breast cancer: socioeconomic status, parity, and age at birth of first child.

Barbro Numan Hellquist1, Kamila Czene, Anna Hjälm, Lennarth Nyström, Håkan Jonsson.   

Abstract

BACKGROUND: Invitation to mammography screening of women aged 40 to 49 years is a matter of debate in many countries and a cost-effective alternative in countries without screening among women aged 40 to 49 years could be inviting those at higher risk. The relative effectiveness of mammography screening was estimated for subgroups based on the breast cancer risk factors parity, age at time of birth of first child, and socioeconomic status (SES).
METHODS: The SCReening of Young Women (SCRY) database consists of all women aged 40 to 49 years in Sweden between 1986 and 2005 and was split into a study and control group. The study group consisted of women residing in areas in which women aged 40 to 49 years were invited to screening and the control group of women in areas in which women aged 40 to 49 years were not invited to screening. Rate ratio (RR) estimates were calculated for 2 exposures: invitation and attendance.
RESULTS: There were striking similarities noted in the RR pattern for women invited to and attending screening and no statistically significant difference or trend in the RR was noted by risk group. The RR estimates increased by increasing parity for parity of 0 to 2 and ranged from 0.55 (95% confidence interval [95% CI], 0.38-0.79) to 0.79 (95% CI, 0.65-0.95) for attending women. The RR for women with high SES was lower than that for women with low SES (RR, 0.72 [95% CI, 0.60-0.86] and RR, 0.79 [95% CI, 0.63-0.99], respectively). For women aged 20 to 24 years at the time of the birth of their first child, the RR was 0.73 (95% CI, 0.58-0.91) and estimates for other ages were similar.
CONCLUSIONS: There was no statistically significant difference noted in the relative effectiveness of mammography screening by parity, age at the time of birth of the first child, or SES.
© 2014 American Cancer Society.

Entities:  

Keywords:  breast cancer; cancer screening; mammography; mortality; parity; risk factors; socioeconomic status (SES)

Mesh:

Year:  2014        PMID: 25242087     DOI: 10.1002/cncr.29011

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  8 in total

1.  The relative effect of mammographic screening on breast cancer mortality by socioeconomic status.

Authors:  Theodora M Ripping; Danielle van der Waal; André L M Verbeek; Mireille J M Broeders
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Review 2.  Worldwide Review and Meta-Analysis of Cohort Studies Measuring the Effect of Mammography Screening Programmes on Incidence-Based Breast Cancer Mortality.

Authors:  Amanda Dibden; Judith Offman; Stephen W Duffy; Rhian Gabe
Journal:  Cancers (Basel)       Date:  2020-04-15       Impact factor: 6.639

Review 3.  Why the Gold Standard Approach by Mammography Demands Extension by Multiomics? Application of Liquid Biopsy miRNA Profiles to Breast Cancer Disease Management.

Authors:  Pavol Zubor; Peter Kubatka; Karol Kajo; Zuzana Dankova; Hubert Polacek; Tibor Bielik; Erik Kudela; Marek Samec; Alena Liskova; Dominika Vlcakova; Tatiana Kulkovska; Igor Stastny; Veronika Holubekova; Jan Bujnak; Zuzana Laucekova; Dietrich Büsselberg; Mariusz Adamek; Walther Kuhn; Jan Danko; Olga Golubnitschaja
Journal:  Int J Mol Sci       Date:  2019-06-13       Impact factor: 5.923

4.  Estimating the Breast Cancer Burden in Germany and Implications for Risk-based Screening.

Authors:  Anne S Quante; Anika Hüsing; Jenny Chang-Claude; Marion Kiechle; Rudolf Kaaks; Ruth M Pfeiffer
Journal:  Cancer Prev Res (Phila)       Date:  2021-03-05

5.  At what age should screening mammography be recommended for Asian women?

Authors:  Junko Tsuchida; Masayuki Nagahashi; Omar M Rashid; Kazuaki Takabe; Toshifumi Wakai
Journal:  Cancer Med       Date:  2015-04-27       Impact factor: 4.452

6.  Social inequalities and cancer: can the European deprivation index predict patients' difficulties in health care access? a pilot study.

Authors:  Guillaume Moriceau; Aurélie Bourmaud; Fabien Tinquaut; Mathieu Oriol; Jean-Philippe Jacquin; Pierre Fournel; Nicolas Magné; Franck Chauvin
Journal:  Oncotarget       Date:  2016-01-05

Review 7.  Early Diagnosis of Breast Cancer.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2017-07-05       Impact factor: 3.576

Review 8.  Microwave Sensors for Breast Cancer Detection.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2018-02-23       Impact factor: 3.576

  8 in total

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