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Mammographic Density Phenotypes and Risk of Breast Cancer: A Meta-analysis

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TLDR
It is suggested that percentage dense area is a stronger breast cancer risk factor than absolute dense area, but it is unclear whether the association is independent ofabsolute dense area.
Abstract
Results Among premenopausal women (n = 1776 case patients; n = 2834 control subjects), summary odds ratios were 1.37 (95% CI = 1.29 to 1.47) for absolute dense area, 0.78 (95% CI = 0.71 to 0.86) for absolute nondense area, and 1.52 (95% CI = 1.39 to 1.66) for percentage dense area when pooling estimates adjusted for age, body mass index, and parity. Corresponding odds ratios among postmenopausal women (n = 6643 case patients; n = 11 187 control subjects) were 1.38 (95% CI = 1.31 to 1.44), 0.79 (95% CI = 0.73 to 0.85), and 1.53 (95% CI = 1.44 to 1.64). After additional adjustment for absolute dense area, associations between absolute nondense area and breast cancer became attenuated or null in several studies and summary odds ratios became 0.82 (95% CI = 0.71 to 0.94; Pheterogeneity = .02) for premenopausal and 0.85 (95% CI = 0.75 to 0.96; Pheterogeneity < .01) for postmenopausal women. Conclusions The results suggest that percentage dense area is a stronger breast cancer risk factor than absolute dense area. Absolute nondense area was inversely associated with breast cancer risk, but it is unclear whether the association is independent of absolute dense area.

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Journal ArticleDOI

Mammographic density and the risk and detection of breast cancer

TL;DR: The conclusion of the current study was that the frequency of screening might be dependent on breast density and in such cases diagnostic techniques such as “digital mammography, ultra sonography and magnetic resonance imaging” may prove to be better detection tools.
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Risk determination and prevention of breast cancer

TL;DR: Recent data is summarized on newer approaches to risk prediction, available approaches to prevention, how new approaches may be made, and the difficult problem of using what the authors already know to prevent breast cancer in populations.
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An overview of mammographic density and its association with breast cancer.

TL;DR: The goal of this review is to highlight the current molecular understanding of MD, its association with breast cancer risk, the demographics pertaining to MD, and the environmental factors that modulate MD.
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Population-Attributable Risk Proportion of Clinical Risk Factors for Breast Cancer.

TL;DR: Most women with breast cancer have at least 1 breast cancer risk factor routinely documented at the time of mammography, and more than half of premenopausal and postmenopausal breast cancers are explained by these factors.
References
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TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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Quantifying heterogeneity in a meta‐analysis

TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
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Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies

TL;DR: Assessment of the strength of associations between BMI and different sites of cancer and differences in these associations between sex and ethnic groups should inform the exploration of biological mechanisms that link obesity with cancer.
Journal ArticleDOI

Mammographic Density and the Risk and Detection of Breast Cancer

TL;DR: Extensive mammographic density is strongly associated with the risk of breast cancer detected by screening or between screening tests, and a substantial fraction of breast cancers can be attributed to this risk factor.
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