PMID- 30206060
OWN - NLM
STAT- In-Data-Review
LR  - 20190108
IS  - 1538-7755 (Electronic)
IS  - 1055-9965 (Linking)
VI  - 28
IP  - 1
DP  - 2019 Jan
TI  - Methodological Challenges and Updated Findings from a Meta-analysis of the
      Association between Mammographic Density and Breast Cancer.
PG  - 22-31
LID - 10.1158/1055-9965.EPI-17-1175 [doi]
AB  - Mammographic density (MD) is an established predictor of breast cancer risk.
      However, there is limited information on the robustness of the risk associations 
      for different study designs and the associated methodologic challenges. Our
      analysis includes 165 samples from studies published since 2006. We use a weakly 
      informative Bayesian approach to avoid unduly optimistic estimates of
      uncertainty, as found in the previous literature. We find that the existing
      consensus from previous review studies has underestimated the strength and
      precision of MD as a risk marker. Moreover, although much of the published
      literature is based on categorical measurement of MD, there are tangible
      advantages in using continuous data in terms of estimate precision and relevance 
      for different patient populations. Estimates based on the percentage of MD are
      more precise for lower density women, whereas absolute MD has advantages for
      higher density. We show that older results might not be a good proxy for current 
      and future findings, and it would be pertinent to adjust clinical interpretations
      based on the older data. Using an appropriate estimation method cognizant of the 
      importance of heterogeneity is critical to obtaining reliable and robust clinical
      findings that are relevant for broad patient populations.
CI  - (c)2018 American Association for Cancer Research.
FAU - Bond-Smith, Daniela
AU  - Bond-Smith D
AD  - School of Global and Population Health, The University of Western Australia,
      Perth, Western Australia, Australia. daniela.bond-smith@uwa.edu.au.
AD  - Centre for Genetic Origins of Health and Disease, Curtin University and The
      University of Western Australia, Perth, Western Australia, Australia.
FAU - Stone, Jennifer
AU  - Stone J
AUID- ORCID: https://orcid.org/0000-0001-5077-0124
AD  - Centre for Genetic Origins of Health and Disease, Curtin University and The
      University of Western Australia, Perth, Western Australia, Australia.
AD  - Royal Perth Hospital Medical Research Foundation, Perth, Western Australia,
      Australia.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20180911
PL  - United States
TA  - Cancer Epidemiol Biomarkers Prev
JT  - Cancer epidemiology, biomarkers & prevention : a publication of the American
      Association for Cancer Research, cosponsored by the American Society of
      Preventive Oncology
JID - 9200608
SB  - IM
EDAT- 2018/09/13 06:00
MHDA- 2018/09/13 06:00
CRDT- 2018/09/13 06:00
PHST- 2017/12/23 00:00 [received]
PHST- 2018/03/11 00:00 [revised]
PHST- 2018/09/05 00:00 [accepted]
PHST- 2018/09/13 06:00 [pubmed]
PHST- 2018/09/13 06:00 [medline]
PHST- 2018/09/13 06:00 [entrez]
AID - 1055-9965.EPI-17-1175 [pii]
AID - 10.1158/1055-9965.EPI-17-1175 [doi]
PST - ppublish
SO  - Cancer Epidemiol Biomarkers Prev. 2019 Jan;28(1):22-31. doi:
      10.1158/1055-9965.EPI-17-1175. Epub 2018 Sep 11.