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Comparative Study
. 2011 May 24;104(11):1680-5.
doi: 10.1038/bjc.2011.144. Epub 2011 May 3.

Explaining the difference in prognosis between screen-detected and symptomatic breast cancers

Affiliations
Comparative Study

Explaining the difference in prognosis between screen-detected and symptomatic breast cancers

P C Allgood et al. Br J Cancer. .

Abstract

Background: We analysed 10-year survival data in 19,411 women aged 50-64 years diagnosed with invasive breast cancer in the West Midlands region of the United Kingdom. The aim was to estimate the survival advantage seen in cases that were screen detected compared with those diagnosed symptomatically and attribute this to shifts in prognostic variables or survival differences specific to prognostic categories.

Methods: We studied tumour size, histological grade and the Nottingham Prognostic Index in very narrow categories and investigated the distribution of these prognostic factors within screen-detected and symptomatic tumours. We also adjusted for lead time bias.

Results: The unadjusted 10-year breast cancer survival in screen-detected cases was 85.5% and in symptomatic cases 62.8%; after adjustment for lead time bias, survival in the screen-detected cases was 79.3%. Within narrow categories of prognostic variables, survival differences were small, indicating that the majority of the survival advantage of screen detection is due to differences in the distributions of size and node status.

Conclusion: Our results suggested that a combination of lead time with size and node status in 10 categories explained almost all (97%) of the survival advantage. Only a small proportion remained to be explained by biological differences, manifested as length bias or overdiagnosis.

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References

    1. Bashir SA, Estève J (2000) Analysing the difference due to risk and demographic factors for incidence or mortality. Int J Epidemiol 29: 878–884 - PubMed
    1. Biesheuvel C, Barratt A, Howard K, Houssami N, Irwig L (2007) Effects of study methods and biases on estimates of invasive breast cancer overdetection with mammography screening: a systematic review. Lancet Oncol 8: 1129–1138 - PubMed
    1. Clayton D, Hills M (1993) Statistical Models in Epidemiology. Oxford University Press: Oxford
    1. Collett K, Stefansson IM, Eide J, Braaten A, Wang H, Eide GE, Thoresen SO, Foulkes WD, Akslen LA (2005) A basal phenotype is more frequent in interval breast cancers compared with screen-detected tumours. Cancer Epidemiol Biomarkers Prev 14: 1108–1112 - PubMed
    1. Dawson SJ, Duffy SW, Blows FM, Driver KE, Provenzano E, LeQuesne J, Greenberg DC, Pharoah P, Caldas C, Wishart GC (2009) Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival. Br J Cancer 101: 1338–1344 - PMC - PubMed

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