Literature DB >> 1800422

Modelling the analysis of breast cancer screening programmes: sensitivity, lead time and predictive value in the Florence District Programme (1975-1986).

E Paci1, S W Duffy.   

Abstract

Statistical indicators of early efficacy were estimated in the Florence District Programme where breast cancer screening has been carried out since 1970. Analysis of screen-detected and interval cancer data by means of statistical modelling using GLIM allowed us to estimate the mean sojourn time (1.91 and 3.97 years in 40-49 and 50-69 year old women respectively), sensitivity (about 90% for those aged 50-69) and predictive value at the prevalence screening test (about 100%). Results were compared with estimates of the same parameters in the Health Insurance Plan and Swedish Two County studies.

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Year:  1991        PMID： 1800422     DOI： 10.1093/ije/20.4.852

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN： 0300-5771            Impact factor:   7.196


  20 in total

1.  Age specific sensitivity and sojourn time in a breast cancer screening programme (DOM) in The Netherlands: a comparison of different methods.

Authors:  C T Brekelmans; P Westers; J A Faber; P H Peeters; H J Collette
Journal:  J Epidemiol Community Health       Date:  1996-02       Impact factor: 3.710

2.  Age-specific sensitivities of mammographic screening for breast cancer.

Authors:  P G Peer; A L Verbeek; H Straatman; J H Hendriks; R Holland
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

3.  Validation of a modelling approach for estimating the likely effectiveness of cancer screening using cancer data on prevalence screening and incidence.

Authors:  Nora Pashayan; Paul Pharoah; László Tabár; David E Neal; Richard M Martin; Jenny Donovan; Freddie Hamdy; Stephen W Duffy
Journal:  Cancer Epidemiol       Date:  2010-08-16       Impact factor: 2.984

4.  Breast cancer early diagnosis experience in Florence: can a self referral policy achieve the results of service screening?

Authors:  D Giorgi; E Paci; M Zappa; M Rosselli del Turco
Journal:  J Epidemiol Community Health       Date:  1994-10       Impact factor: 3.710

5.  Estimated mean sojourn time associated with hemoccult SENSA for detection of proximal and distal colorectal cancer.

Authors:  Wenying Zheng; Carolyn M Rutter
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-08-21       Impact factor: 4.254

6.  Toward optimal screening strategies for older women. Costs, benefits, and harms of breast cancer screening by age, biology, and health status.

Authors:  Jeanne S Mandelblatt; Clyde B Schechter; K Robin Yabroff; William Lawrence; James Dignam; Martine Extermann; Sarah Fox; Gretchen Orosz; Rebecca Silliman; Jennifer Cullen; Lodovico Balducci
Journal:  J Gen Intern Med       Date:  2005-06       Impact factor: 5.128

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

Authors:  P C Allgood; S W Duffy; O Kearins; E O'Sullivan; N Tappenden; M G Wallis; G Lawrence
Journal:  Br J Cancer       Date:  2011-05-03       Impact factor: 7.640

8.  The introduction of a breast cancer screening programme in a region with a population at medium risk for developing breast cancer: Khanty-Mansiysky autonomous Okrug-Ugra (Russian Federation).

Authors:  N Zakharova; Sw Duffy; J Mackay; E Kotlyarov
Journal:  Ecancermedicalscience       Date:  2011-02-14

9.  Understanding recent trends in incidence of invasive breast cancer in Norway: age-period-cohort analysis based on registry data on mammography screening and hormone treatment use.

Authors:  Harald Weedon-Fekjær; Kjersti Bakken; Lars J Vatten; Steinar Tretli
Journal:  BMJ       Date:  2012-01-30

10.  Mammographic surveillance in women aged 35-39 at enhanced familial risk of breast cancer (FH02).

Authors:  D G Evans; S Thomas; J Caunt; L Roberts; A Howell; M Wilson; R Fox; D M Sibbering; S Moss; M G Wallis; D M Eccles; S Duffy
Journal:  Fam Cancer       Date:  2014-03       Impact factor: 2.375
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