Literature DB >> 26976857

Overdiagnosis in Mammographic Screening because of Competing Risk of Death.

Ragnhild Sorum Falk1, Solveig Hofvind2.   

Abstract

BACKGROUND: Different definitions and estimates of overdiagnosis in mammographic screening reflect a substantial need to investigate and understand the complexity of the issue. This modeling study aims to estimate the number of overdiagnosed women, defined as those diagnosed with breast cancer who die from any cause within the lead-time period.
METHODS: We used numbers from incidence and death statistics available online and published estimates of lead-time. Postulated cohorts of screened and not screened women ages 50 to 51 were followed for a period corresponding to 10 biennial screening exams during 20 years, and a further 10 years, to ages 78 to 79. The increase in breast cancer incidence because of screening was estimated based on lead-time. The proportion of women diagnosed with breast cancer who died within the lead-time period was assessed based on the differences in the cumulative number of breast cancer diagnosed in a nonscreened and screened cohort.
RESULTS: The proportion of inevitable overdiagnosed women in a screened versus nonscreened cohort was 1.9% for England and Wales and 1.8% for Norway. Sensitivity analyses using various assumptions increased the estimates up to a maximum of 4%.
CONCLUSION: The proportion of women with breast cancer diagnosed after participation in a screening program who died within the estimated lead-time period was less than 4%. This inevitable proportion of overdiagnosis should be emphasized in the definition and communication of the issue. IMPACT: The issue of overdiagnosis is complex and estimates should be interpreted with substantial care. Cancer Epidemiol Biomarkers Prev; 25(5); 759-65. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26976857     DOI: 10.1158/1055-9965.EPI-15-0819

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  3 in total

1.  Impact of chronic diseases on effect of breast cancer screening.

Authors:  Anna-Belle Beau; George M Napolitano; Marianne Ewertz; Ilse Vejborg; Walter Schwartz; Per K Andersen; Elsebeth Lynge
Journal:  Cancer Med       Date:  2020-04-06       Impact factor: 4.452

2.  Women's conceptual knowledge about breast cancer screening and overdiagnosis in Norway: a cross-sectional study.

Authors:  Kaitlyn M Tsuruda; Marit B Veierød; Nehmat Houssami; Gunvor G Waade; Gunhild Mangerud; Solveig Hofvind
Journal:  BMJ Open       Date:  2021-12-14       Impact factor: 2.692

Review 3.  Justification of CT for Individual Health Assessment of Asymptomatic Persons: A World Health Organization Consultation.

Authors:  Jim Malone; Maria Del Rosario Perez; Eva Godske Friberg; Mathias Prokop; Seung Eun Jung; Jurgen Griebel; Steve Ebdon-Jackson
Journal:  J Am Coll Radiol       Date:  2016-12       Impact factor: 5.532

  3 in total

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