| Title |
Breast cancer screening in the era of density notification legislation: summary of 2014 Massachusetts experience and suggestion of an evidence-based management algorithm by multi-disciplinary expert panel
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, August 2015
|
| DOI | 10.1007/s10549-015-3534-9 |
| Pubmed ID | |
| Authors |
Phoebe E. Freer, Priscilla J. Slanetz, Jennifer S. Haas, Nadine M. Tung, Kevin S. Hughes, Katrina Armstrong, A. Alan Semine, Susan L. Troyan, Robyn L. Birdwell |
| Abstract |
Stemming from breast density notification legislation in Massachusetts effective 2015, we sought to develop a collaborative evidence-based approach to density notification that could be used by practitioners across the state. Our goal was to develop an evidence-based consensus management algorithm to help patients and health care providers follow best practices to implement a coordinated, evidence-based, cost-effective, sustainable practice and to standardize care in recommendations for supplemental screening. We formed the Massachusetts Breast Risk Education and Assessment Task Force (MA-BREAST) a multi-institutional, multi-disciplinary panel of expert radiologists, surgeons, primary care physicians, and oncologists to develop a collaborative approach to density notification legislation. Using evidence-based data from the Institute for Clinical and Economic Review, the Cochrane review, National Comprehensive Cancer Network guidelines, American Cancer Society recommendations, and American College of Radiology appropriateness criteria, the group collaboratively developed an evidence-based best-practices algorithm. The expert consensus algorithm uses breast density as one element in the risk stratification to determine the need for supplemental screening. Women with dense breasts and otherwise low risk (<15 % lifetime risk), do not routinely require supplemental screening per the expert consensus. Women of high risk (>20 % lifetime) should consider supplemental screening MRI in addition to routine mammography regardless of breast density. We report the development of the multi-disciplinary collaborative approach to density notification. We propose a risk stratification algorithm to assess personal level of risk to determine the need for supplemental screening for an individual woman. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| Germany | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 83 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 10% |
| Researcher | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Student > Master | 7 | 8% |
| Other | 7 | 8% |
| Other | 19 | 23% |
| Unknown | 27 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 31% |
| Nursing and Health Professions | 8 | 10% |
| Business, Management and Accounting | 4 | 5% |
| Psychology | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 13 | 15% |
| Unknown | 26 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 September 2015.
All research outputs
#8,126,042
of 25,083,571 outputs
Outputs from Breast Cancer Research and Treatment
#1,740
of 4,943 outputs
Outputs of similar age
#89,183
of 271,706 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#19
of 85 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,943 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 63% 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 271,706 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.