quantitative
Analysis v1
When doctors stop screening for breast cancer, they can't tell exactly how many of the tumors found would never have caused harm, even with fancy math, because the data they have just isn't detailed enough to give clear answers.
Evidence from Studies
Supporting (1)
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Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials
Computational/Algorithm Study
2019 Jan 1This study looked at breast cancer screening data and found that even with the best math models, we can't tell exactly how many tumors would never cause harm unless we follow patients longer after screening. This matches the claim that the data alone aren't enough to know the truth.
Contradicting (0)
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No contradicting evidence found
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