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Identifying post-menopausal women at elevated risk for epithelial ovarian cancer

Overview of attention for article published in Gynecologic Oncology, September 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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83 Mendeley
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Article details
Title
Identifying post-menopausal women at elevated risk for epithelial ovarian cancer
Published in
Gynecologic Oncology, September 2015
DOI 10.1016/j.ygyno.2015.08.024
Pubmed ID
Authors
Abstract

We developed and validated a hybrid risk classifier combining serum markers and epidemiologic risk factors to identify post-menopausal women at elevated risk for invasive fallopian tube, primary peritoneal, and ovarian epithelial carcinoma. To select epidemiologic risk factors for use in the classifier, Cox proportional hazards analyses were conducted using 74,786 Women's Health Initiative (WHI) Observational Study (OS) participants. To construct a combination classifier, 210 WHI OS cases and 536 matched controls with serum marker measurements were analyzed; validation employed 143 cases and 725 matched controls from the WHI Clinical Trial (CT) with similar data. Analyses identified a combination risk classifier composed of two elevated-risk groups: 1) women with CA125 or HE4 exceeding a 98% specificity threshold; and 2) women with intact fallopian tubes, prior use of menopausal hormone therapy for at least two years, and either a first degree relative with breast or ovarian cancer or a personal history of breast cancer. In the WHI OS population, it classified 13% of women as elevated risk, identifying 30% of ovarian cancers diagnosed up to 7.8years post-enrollment (Hazard Ratio [HR]=2.6, p<0.001). In the WHI CT validation population, it classified 8% of women as elevated risk, identifying 31% of cancers diagnosed within 7years of enrollment (HR=4.6, p<0.001). CA125 and HE4 contributed significantly to a risk prediction classifier combining serum markers with epidemiologic risk factors. The hybrid risk classifier may be useful to identify post-menopausal women who would benefit from timely surgical intervention to prevent epithelial ovarian cancer.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 14%
Student > Bachelor 9 11%
Other 6 7%
Student > Doctoral Student 5 6%
Student > Ph. D. Student 3 4%
Other 9 11%
Unknown 39 47%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 27 33%
Nursing and Health Professions 6 7%
Agricultural and Biological Sciences 2 2%
Social Sciences 2 2%
Environmental Science 1 1%
Other 3 4%
Unknown 42 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 September 2015.
All research outputs
#14,772,367
of 25,374,917 outputs
Outputs from Gynecologic Oncology
#3,407
of 4,957 outputs
Outputs of similar age
#129,910
of 277,000 outputs
Outputs of similar age from Gynecologic Oncology
#24
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 277,000 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 53% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.