Literature DB >> 25413699

Insights from the breast cancer screening trials: how screening affects the natural history of breast cancer and implications for evaluating service screening programs.

László Tabár1, Amy Ming-Fang Yen, Wendy Yi-Ying Wu, Sam Li-Sheng Chen, Sherry Yueh-Hsia Chiu, Jean Ching-Yuan Fann, May Mei-Sheng Ku, Robert A Smith, Stephen W Duffy, Tony Hsiu-Hsi Chen.   

Abstract

It is desirable to have a strategy for evaluation of breast cancer service screening programs years before the long-term breast cancer mortality data are available. Since successful mammography screening has a significant impact on two components of the TNM (tumor size, node status, presence or absence of distant metastases) classification system, tumor size and node status, we investigated the effect of the randomized breast screening trials on incidence of advanced stage disease and on the subsequent breast cancer death rate. In the trials that achieved a 20% or greater reduction in advanced stage disease, there was an average breast cancer mortality reduction of 28% among women invited to screening (attenders and nonattenders combined). In the trials that achieved a reduction in advanced stage disease of less than 10%, there was no reduction in breast cancer mortality among women invited to screening. This study provides evidence that the average mortality reduction in all the trials underestimates the true mortality reduction, and that substantially greater breast cancer mortality reductions can be expected in screening programs that are effective in reducing advanced stage breast cancer. In addition, monitoring the incidence of advanced stage breast cancer in an ongoing screening program can provide a sensitive and early indicator of the subsequent mortality from the disease.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  advanced stage; breast cancer; early detection; mortality; screening

Mesh:

Year:  2014        PMID: 25413699     DOI: 10.1111/tbj.12354

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  29 in total

1.  Mammography, Martin Yaffe, and me: response and appreciation.

Authors:  Constantine Kaniklidis
Journal:  Curr Oncol       Date:  2015-10       Impact factor: 3.677

2.  No myth: Benefits of breast screening.

Authors:  Jeremy M Berg; Wendie A Berg
Journal:  Nature       Date:  2016-01-21       Impact factor: 49.962

3.  Social support and breast cancer screening in rural Appalachia.

Authors:  Brittany L Smalls; Adaeze Aroh; Kristen McQuerry; Adebola Adegboyega; Nancy Schoenberg; Jennifer Hatcher
Journal:  Psychooncology       Date:  2018-07-31       Impact factor: 3.894

4.  Global, regional, national burden of breast cancer in 185 countries: evidence from GLOBOCAN 2018.

Authors:  Rajesh Sharma
Journal:  Breast Cancer Res Treat       Date:  2021-01-30       Impact factor: 4.872

5.  Supplemental Breast Cancer Screening in Women With Dense Breasts Should Be Offered With Simultaneous Collection of Outcomes Data.

Authors:  Wendie A Berg
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

Review 6.  The wisdom trial is based on faulty reasoning and has major design and execution problems.

Authors:  Daniel B Kopans
Journal:  Breast Cancer Res Treat       Date:  2020-11-25       Impact factor: 4.872

7.  Current Status of Supplemental Screening in Dense Breasts.

Authors:  Wendie A Berg
Journal:  J Clin Oncol       Date:  2016-03-09       Impact factor: 44.544

Review 8.  Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Authors:  Krzysztof J Geras; Ritse M Mann; Linda Moy
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

9.  The impact of mammographic screening on the surgical management of breast cancer.

Authors:  Ted A James; Jacqueline E Wade; Brian L Sprague
Journal:  J Surg Oncol       Date:  2016-01-22       Impact factor: 3.454

10.  Urinary Exosomal MicroRNAs as Potential Non-invasive Biomarkers in Breast Cancer Detection.

Authors:  Marc Hirschfeld; Gerta Rücker; Daniela Weiß; Kai Berner; Andrea Ritter; Markus Jäger; Thalia Erbes
Journal:  Mol Diagn Ther       Date:  2020-04       Impact factor: 4.074

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