Breast Cancer Research

official impact factor 5.79

Open Access Research article

Balancing harms and benefits of service mammography screening programs: a cohort study

Donella Puliti, Guido Miccinesi, Marco Zappa, Gianfranco Manneschi, Emanuele Crocetti and Eugenio Paci*

Author Affiliations

Clinical and Descriptive Epidemiology Unit, ISPO - Cancer Prevention and Research Institute, via San Salvi 12, 50135 Florence, Italy

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Breast Cancer Research 2012, 14:R9 doi:10.1186/bcr3090

Published: 9 January 2012

Abstract

Introduction

The use of screening mammography is still under debate within the medical community. The aim of this study is to define a balance sheet of benefits (breast cancer mortality reduction) and harms (overdiagnosis) for mammography screening programs.

Methods

We compared breast cancer incidence and mortality in two cohorts of women, defined as 'attenders' or 'non-attenders' on the basis of the individual attitudes towards screening, who were invited to the first round of the Florentine screening program. The effects of screening exposure on breast cancer incidence and mortality were evaluated by fitting Poisson regression models adjusted for age at entry, marital status and deprivation index. We performed a sensitivity analysis excluding 34 women not responding to the invitation with a breast cancer diagnosis in the following six months.

Results

In total, we included 51,096 women aged 50 to 69 years invited at the first screening round (1991 to 1993) and followed-up for breast cancer incidence and mortality until 31 December 2007 and 31 December 2008, respectively The estimate of mortality reduction varies from 45% among 50 to 59 year-old women up to 51% among 60 to 69 year-old women. The estimate of overdiagnosis, according to the cumulative-incidence method, is an additional 10% of all breast cancer cases among 60 to 69 year-old women screened.

Conclusions

Comparing the breast cancer mortality and breast cancer incidence between attenders and non-attenders, we have determined that the overall cost to save one life corresponds to no more than one over-diagnosed tumor (from 0.6 to 1 depending on the selection criteria of the cohort), even if a residual self-selection bias cannot be excluded.