Development of a risk prediction model for Barrett's esophagus in an Australian population

Ireland, C.J., Fielder, A.L., Thompson, S.K., Laws, T.A., Watson, D.I., and Esterman, A. (2017) Development of a risk prediction model for Barrett's esophagus in an Australian population. Diseases of the Esophagus, 30 (11).

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Abstract

Esophageal adenocarcinoma has poor 5-year survival rates. Increased survivalmight be achieved with earlier treatment, but requires earlier identification of the precursor, Barrett's esophagus. Population screening is not cost effective, this may be improved by targeted screening directed at individuals more likely to have Barrett's esophagus. To develop a risk prediction tool for Barrett's esophagus, this study compared individuals with Barrett's esophagus against population controls. Participants completed a questionnaire comprising 35 questions addressing medical history, symptom history, lifestyle factors, anthropomorphic measures, and demographic details. Statistical analysis addressed differences between cases and controls, and entailed initial variable selection, checking of model assumptions, and establishing calibration and discrimination. The area under the curve (AUC) was used to assess overall accuracy. One hundred and twenty individuals with Barrett's esophagus and 235 population controls completed the questionnaire. Significant differences were identified for age, gender, reflux history, family reflux history, history of hypertension, alcoholic drinks per week, and body mass index. These were used to develop a risk prediction model. The AUC was 0.82 (95% CI 0.78-0.87). Good calibration between predicted and observed risk was noted (Hosmer-Lemeshow test P = 0.67). At the point minimizing false positives and false negatives, the model achieved a sensitivity of 84.96% and a specificity of 66%. A well-calibrated risk prediction model with good discrimination has been developed to identify patients with Barrett's esophagus. The model needs to be externally validated before consideration for clinical practice.

Item ID: 51835
Item Type: Article (Research - C1)
ISSN: 1442-2050
Keywords: Barrett's esophagus, esophageal adenocarcinoma, risk prediction model, screening
Funders: Australian Government Research Training Program Scholarship
Date Deposited: 20 Dec 2017 07:45
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1112 Oncology and Carcinogenesis > 111202 Cancer Diagnosis @ 50%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111716 Preventive Medicine @ 50%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 50%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 50%
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