Literature DB >> 14659145

Significant improvement in breast cancer survival through population-based mammography screening.

Pekka J Klemi1, Ilmo Parvinen, Liisa Pylkkänen, Lea Kauhava, Pirjo Immonen-Räihä, Osmo Räsänen, Hans Helenius.   

Abstract

The purpose of this study was to evaluate the effect of population-based mammography screening on survival. A total of 176 908 screening examinations were performed in 36 000 women aged 40-74 during the years 1987-1997. Screen-detected and interval primary invasive breast cancers (n=685, screened) were more often smaller (P<0.0001), localised (P<0.0001) and histologically better differentiated (grade I vs II-III, P<0.0001) than pre-screening cancers and cancers detected after the defined interval from the last screening (n=184, clinical). Survival was far better in the "screened" group than in the "clinical" group (P<0.0001, HR 2.55; CI 95% 1.77-3.67). Cox's multivariate analysis revealed axillary lymph node negativity (P<0.0001), histological grade I (P=0.0005) and size less than or equal to 20mm (P=0.0118) as explanations of the beneficial effect of screening. A new observation we recorded was that screening had a beneficial effect even in women whose cancer had already spread into the axillary lymph nodes.

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Year:  2003        PMID: 14659145     DOI: 10.1016/s0960-9776(03)00096-1

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  12 in total

1.  Modeling the impact of comorbidity on breast cancer patient outcomes.

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2.  Characterisation of disseminated tumor cells in the bone marrow of breast cancer patients by the Thomsen-Friedenreich tumor antigen.

Authors:  Christian Schindlbeck; Udo Jeschke; Sandra Schulze; Uwe Karsten; Wolfgang Janni; Brigitte Rack; Harald Sommer; Klaus Friese
Journal:  Histochem Cell Biol       Date:  2005-05-12       Impact factor: 4.304

3.  Breast tomosynthesis and digital mammography: a comparison of diagnostic accuracy.

Authors:  T M Svahn; D P Chakraborty; D Ikeda; S Zackrisson; Y Do; S Mattsson; I Andersson
Journal:  Br J Radiol       Date:  2012-06-06       Impact factor: 3.039

4.  Tumor characteristics in screen-detected and symptomatic breast cancers.

Authors:  István Pálka; Gyöngyi Kelemen; Katalin Ormándi; György Lázár; Tibor Nyári; László Thurzó; Zsuzsanna Kahán
Journal:  Pathol Oncol Res       Date:  2008-03-06       Impact factor: 3.201

5.  Effects of annual vs triennial mammography interval on breast cancer incidence and mortality in ages 40-49 in Finland.

Authors:  I Parvinen; S Chiu; L Pylkkänen; P Klemi; P Immonen-Räihä; L Kauhava; N Malila; M Hakama
Journal:  Br J Cancer       Date:  2011-09-20       Impact factor: 7.640

6.  Racial Disparities in Breast Cancer Survival: The Mediating Effects of Macro-Social Context and Social Network Factors.

Authors:  Ganga Vijayasiri; Yamile Molina; Ifeanyi Beverly Chukwudozie; Silvia Tejeda; Heather A Pauls; Garth H Rauscher; Richard T Campbell; Richard B Warnecke
Journal:  J Health Dispar Res Pract       Date:  2018

7.  Role of mammography screening as a predictor of survival in postmenopausal breast cancer patients.

Authors:  J Anttinen; H Kautiainen; T Kuopio
Journal:  Br J Cancer       Date:  2006-01-16       Impact factor: 7.640

8.  Mammography screening in three Finnish residential areas: comprehensive population-based study of breast cancer incidence and incidence-based mortality 1976-2009.

Authors:  I Parvinen; S Heinävaara; A Anttila; H Helenius; P Klemi; L Pylkkänen
Journal:  Br J Cancer       Date:  2015-02-17       Impact factor: 7.640

9.  The influence of socio-economic and surveillance characteristics on breast cancer survival: a French population-based study.

Authors:  J Gentil-Brevet; M Colonna; A Danzon; P Grosclaude; G Chaplain; M Velten; F Bonnetain; P Arveux
Journal:  Br J Cancer       Date:  2008-01-15       Impact factor: 7.640

10.  Predicting aggressive outcome in T1N0M0 breast cancer.

Authors:  P Kronqvist; T Kuopio; M Nykänen; H Helenius; J Anttinen; P Klemi
Journal:  Br J Cancer       Date:  2004-07-19       Impact factor: 7.640

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