ArticleBreast cancer research : BCR2012
Do not jump too quickly to conclusions.
Article in Breast cancer research : BCR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A great deal of misinformation has been promulgated about mammography screening. For example, there is no biological or scientific support for the use of the age of 50 years as a threshold for screening. Mammography screening can reduce deaths from breast cancer even if the rate of advanced cancers is not decreased. The suggestion that screening results in massive amounts of overdiagnosis is based upon faulty methodology. The results reported in the recent study by Nederend and colleagues may be due to the screening interval and thresholds used for intervention. What is clear, however, is that they do not show that screening is ineffective.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.