Literature DB >> 16239106

Early diagnosis, not differential treatment, explains better survival in service screening.

Eugenio Paci1, Antonio Ponti, Marco Zappa, Silvia Patriarca, Patrizia Falini, Gabriella Delmastro, Simonetta Bianchi, Anna Sapino, Vania Vezzosi, Carlo Senore, Emanuele Crocetti, Alfonso Frigerio, Roberto Zanetti, Marco Rosselli Del Turco, Nereo Segnan.   

Abstract

Italian population-based breast cancer screening programmes with 2-year, high-quality mammography started in the cities of Florence and Turin in the early 1990s. Breast cancer cases from the local Tumour Registry were classified by method of detection and tumour characteristics (size, nodal-status and grade). Follow-up was at December 2001. In total, 4444 breast cancer cases were analysed. The Hazard Ratio comparing before and after-invitation breast cancer cases indicated a 27% reduction (HR=0.73; 95%CI: 0.61-0.87) in the risk of dying for the disease. After adjustment for tumour characteristics, survival rate was comparable by invitation status, whereas the proportion of early cancer was 33.7% and 46.6% in the before and after-invitation group. Survival rates by tumour characteristic subgroups was comparable by invitation status. Late stage and grade 3 were indicators of poor prognosis. Adjustment for tumour characteristics confirmed screening and not differential treatment as the most important reason for the observed survival benefit. The survival analysis by specific subgroups did not support the hypothesis that the difference in prognosis was attributable to differential treatment.

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Year:  2005        PMID: 16239106     DOI: 10.1016/j.ejca.2005.06.026

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

1.  Socioeconomic status as determinant for participation in mammography screening: assessing the difference between using women's own versus their partner's.

Authors:  Malin Kjellén; My von Euler-Chelpin
Journal:  Int J Public Health       Date:  2010-03-26       Impact factor: 3.380

2.  The role of miR-200a in mammalian epithelial cell transformation.

Authors:  Lindsey E Becker; Apana Agha L Takwi; Zhongxin Lu; Yong Li
Journal:  Carcinogenesis       Date:  2014-09-19       Impact factor: 4.944

3.  Prediction and interpretation of cancer survival using graph convolution neural networks.

Authors:  Ricardo Ramirez; Yu-Chiao Chiu; SongYao Zhang; Joshua Ramirez; Yidong Chen; Yufei Huang; Yu-Fang Jin
Journal:  Methods       Date:  2021-01-21       Impact factor: 4.647

4.  Effectiveness of service screening: a case-control study to assess breast cancer mortality reduction.

Authors:  D Puliti; G Miccinesi; N Collina; V De Lisi; M Federico; S Ferretti; A C Finarelli; F Foca; L Mangone; C Naldoni; M Petrella; A Ponti; N Segnan; A Sigona; M Zarcone; M Zorzi; M Zappa; E Paci
Journal:  Br J Cancer       Date:  2008-08-05       Impact factor: 7.640

5.  Differences in breast cancer risk after benign breast disease by type of screening diagnosis.

Authors:  Javier Louro; Marta Román; Margarita Posso; Laura Comerma; Carmen Vidal; Francina Saladié; Rodrigo Alcantara; Mar Sanchez; M Jesús Quintana; Javier Del Riego; Joana Ferrer; Lupe Peñalva; Xavier Bargalló; Miguel Prieto; María Sala; Xavier Castells
Journal:  Breast       Date:  2020-10-03       Impact factor: 4.380

  5 in total

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