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A Clinical Risk Prediction Model for Barrett Esophagus

Overview of attention for article published in Cancer Prevention Research, September 2012
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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1 policy source
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69 Dimensions

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Title
A Clinical Risk Prediction Model for Barrett Esophagus
Published in
Cancer Prevention Research, September 2012
DOI 10.1158/1940-6207.capr-12-0010
Pubmed ID
Authors

Aaron P. Thrift, Bradley J. Kendall, Nirmala Pandeya, Thomas L. Vaughan, David C. Whiteman, for the Study of Digestive Health

Abstract

Barrett esophagus is the only known precursor to esophageal adenocarcinoma. As definitive diagnosis requires costly endoscopic investigation, we sought to develop a risk prediction model to aid in deciding which patients with gastroesophageal reflux symptoms to refer for endoscopic screening for Barrett esophagus. The study included data from patients with incident nondysplastic Barrett esophagus (n = 285) and endoscopy control patients with esophageal inflammatory changes without Barrett esophagus ("inflammation controls", n = 313). We used two phases of stepwise backwards logistic regression to identify the important predictors for Barrett esophagus in men and women separately: first, including all significant covariates from univariate analyses and then fitting non-significant covariates from univariate analyses to identify those effects detectable only after adjusting for other factors. The final model pooled these predictors and was externally validated for discrimination and calibration using data from a Barrett esophagus study conducted in western Washington State. The final risk model included terms for age, sex, smoking status, body mass index, highest level of education, and frequency of use of acid suppressant medications (area under the ROC curve, 0.70; 95%CI, 0.66-0.74). The model had moderate discrimination in the external dataset (area under the ROC curve, 0.61; 95%CI, 0.56-0.66). The model was well calibrated (Hosmer-Lemeshow test, P = 0.75), with predicted probability and observed risk highly correlated. The prediction model performed reasonably well and has the potential to be an effective and useful clinical tool in selecting patients with gastroesophageal reflux symptoms to refer for endoscopic screening for Barrett esophagus.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Netherlands 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 10 20%
Student > Doctoral Student 5 10%
Other 4 8%
Professor 4 8%
Other 6 12%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 31 61%
Agricultural and Biological Sciences 2 4%
Mathematics 1 2%
Computer Science 1 2%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 13 25%
Attention Score in Context

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 03 September 2014.
All research outputs
#6,912,918
of 22,671,366 outputs
Outputs from Cancer Prevention Research
#586
of 1,356 outputs
Outputs of similar age
#50,441
of 169,082 outputs
Outputs of similar age from Cancer Prevention Research
#11
of 27 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.8. This one has gotten more attention than average, scoring higher than 55% 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 169,082 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 68% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.