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Overdiagnosis and overtreatment of breast cancer: Estimates of overdiagnosis from two trials of mammographic screening for breast cancer

Overview of attention for article published in Breast Cancer Research, November 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 blog

Citations

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149 Dimensions

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mendeley
72 Mendeley
Title
Overdiagnosis and overtreatment of breast cancer: Estimates of overdiagnosis from two trials of mammographic screening for breast cancer
Published in
Breast Cancer Research, November 2005
DOI 10.1186/bcr1354
Pubmed ID
Authors

Stephen W Duffy, Olorunsola Agbaje, Laszlo Tabar, Bedrich Vitak, Nils Bjurstam, Lena Björneld, Jonathan P Myles, Jane Warwick

Abstract

Randomised controlled trials have shown that the policy of mammographic screening confers a substantial and significant reduction in breast cancer mortality. This has often been accompanied, however, by an increase in breast cancer incidence, particularly during the early years of a screening programme, which has led to concerns about overdiagnosis, that is to say, the diagnosis of disease that, if left undetected and therefore untreated, would not become symptomatic. We used incidence data from two randomised controlled trials of mammographic screening, the Swedish Two-county Trial and the Gothenburg Trial, to establish the timing and magnitude of any excess incidence of invasive disease and ductal carcinoma in situ (DCIS) in the study groups, to ascertain whether the excess incidence of DCIS reported early in a screening trial is balanced by a later deficit in invasive disease and provide explicit estimates of the rate of 'real' and non-progressive 'overdiagnosed' tumours from the study groups of the trials. We used a multistate model for overdiagnosis and used Markov Chain Monte Carlo methods to estimate the parameters. After taking into account the effect of lead time, we estimated that less than 5% of cases diagnosed at prevalence screen and less than 1% of cases diagnosed at incidence screens are being overdiagnosed. Overall, we estimate overdiagnosis to be around 1% of all cases diagnosed in screened populations. These estimates are, however, subject to considerable uncertainty. Our results suggest that overdiagnosis in mammography screening is a minor phenomenon, but further studies with very large numbers are required for more precise estimation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 3%
Netherlands 1 1%
Italy 1 1%
United Kingdom 1 1%
Brazil 1 1%
Denmark 1 1%
United States 1 1%
Unknown 64 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Ph. D. Student 10 14%
Student > Bachelor 9 13%
Professor 6 8%
Student > Doctoral Student 6 8%
Other 17 24%
Unknown 12 17%
Readers by discipline Count As %
Medicine and Dentistry 32 44%
Mathematics 5 7%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 11 15%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2009.
All research outputs
#4,312,333
of 25,374,917 outputs
Outputs from Breast Cancer Research
#507
of 2,053 outputs
Outputs of similar age
#11,400
of 76,667 outputs
Outputs of similar age from Breast Cancer Research
#1
of 18 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 76,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.