Predicting Barrett's Esophagus in Families: An Esophagus Translational Research Network (BETRNet) Model Fitting Clinical Data to a Familial Paradigm

Xiangqing Sun; Robert C. Elston; Jill S. Barnholtz‐Sloan; Gary W. Falk; William M. Grady; Ashley L. Faulx; Sumeet K. Mittal; Marcia Irene Canto; Nicholas J. Shaheen; Jean S. Wang; Prasad G. Iyer; Julian A. Abrams; Ye D. Tian; Joseph Willis; Kishore Guda; Sanford D. Markowitz; Apoorva K. Chandar; James M. Warfe; Wendy Brock; Amitabh Chak

doi:10.1158/1055-9965.epi-15-0832

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Abstract

Our prediction model will shed light on effectively identifying high-risk individuals for Barrett's esophagus screening and surveillance, consequently allowing intervention at an early stage, and reducing mortality from esophageal adenocarcinoma. Cancer Epidemiol Biomarkers Prev; 25(5); 727-35.

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Sun et al. (2016) studied this question.

synapsesocial.com/papers/69d72569ef370a38abf50f05 https://doi.org/10.1158/1055-9965.epi-15-0832

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Predicting Barrett's Esophagus in Families: An Esophagus Translational Research Network (BETRNet) Model Fitting Clinical Data to a Familial Paradigm

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Abstract

Discussion

Cite This Study

Predicting Barrett's Esophagus in Families: An Esophagus Translational Research Network (BETRNet) Model Fitting Clinical Data to a Familial Paradigm

Ask about this paper

Abstract

Discussion

Cite This Study

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