TY - JOUR
T1 - Predictors of preoperative MRI for breast cancer
T2 - Differences by data source
AU - Loggers, Elizabeth T.
AU - Gao, Hongyuan
AU - Gold, Laura S.
AU - Kessler, Larry
AU - Etzioni, Ruth
AU - Buist, Diana S.M.
N1 - Publisher Copyright:
© 2015 Future Medicine Ltd.
PY - 2015/5/1
Y1 - 2015/5/1
N2 - Aim: Investigate how the results of predictive models of preoperative MRI for breast cancer change based on available data. Materials & methods: A total of 1919 insured women aged ≥18 with stage 0-III breast cancer diagnosed 2002-2009. Four models were compared using nested multivariable logistic, backwards stepwise regression; model fit was assessed via area under the curve (AUC), R. Results: MRI recipients (n = 245) were more recently diagnosed, younger, less comorbid, with higher stage disease. Significant variables included: Model 1/Claims (AUC = 0.76, R = 0.10): year, age, location, income; Model 2/Cancer Registry (AUC = 0.78, R = 0.12): stage, breast density, imaging indication; Model 3/Medical Record (AUC = 0.80, R = 0.13): radiologic recommendations; Model 4/Risk Factor Survey (AUC = 0.81, R = 0.14): procedure count. Conclusion: Clinical variables accounted for little of the observed variability compared with claims data.
AB - Aim: Investigate how the results of predictive models of preoperative MRI for breast cancer change based on available data. Materials & methods: A total of 1919 insured women aged ≥18 with stage 0-III breast cancer diagnosed 2002-2009. Four models were compared using nested multivariable logistic, backwards stepwise regression; model fit was assessed via area under the curve (AUC), R. Results: MRI recipients (n = 245) were more recently diagnosed, younger, less comorbid, with higher stage disease. Significant variables included: Model 1/Claims (AUC = 0.76, R = 0.10): year, age, location, income; Model 2/Cancer Registry (AUC = 0.78, R = 0.12): stage, breast density, imaging indication; Model 3/Medical Record (AUC = 0.80, R = 0.13): radiologic recommendations; Model 4/Risk Factor Survey (AUC = 0.81, R = 0.14): procedure count. Conclusion: Clinical variables accounted for little of the observed variability compared with claims data.
KW - MRI
KW - breast cancer
KW - chart abstraction
KW - claims/utilization data
KW - predictive variables
KW - risk factor data
KW - survey data
UR - http://www.scopus.com/inward/record.url?scp=84930512508&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84930512508&partnerID=8YFLogxK
U2 - 10.2217/cer.15.1
DO - 10.2217/cer.15.1
M3 - Article
AN - SCOPUS:84930512508
SN - 2042-6305
VL - 4
SP - 215
EP - 226
JO - Journal of Comparative Effectiveness Research
JF - Journal of Comparative Effectiveness Research
IS - 3
ER -