Screening Mammography & Breast Cancer Mortality: Meta-Analysis of Quasi-Experimental Studies

Veronica L Irvin and Robert M Kaplan

PLOS ONE, 2014, vol. 9, issue 6, 1-11

Abstract: Background: The magnitude of the benefit associated with screening has been debated. We present a meta-analysis of quasi-experimental studies on the effects of mammography screening. Methods: We searched MEDLINE/PubMed and Embase for articles published through January 31, 2013. Studies were included if they reported: 1) a population-wide breast cancer screening program using mammography with 5+ years of data post-implementation; 2) a comparison group with equal access to therapies; and 3) breast cancer mortality. Studies excluded were: RCTs, case-control, or simulation studies. We defined quasi-experimental as studies that compared either geographical, historical or birth cohorts with a screening program to an equivalent cohort without a screening program. Meta-analyses were conducted in Stata using the metan command, random effects. Meta-analyses were conducted separately for ages screened: under 50, 50 to 69 and over 70 and weighted by population and person-years. Results: Among 4,903 published papers that were retrieved, 19 studies matched eligibility criteria. Birth cohort studies reported a significant benefit for women screened

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0098105

DOI: 10.1371/journal.pone.0098105

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