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Table 5 Model development: stepwise regression with backward selection and the Akaike and Bayes information criteria (AIC/BIC)

From: Development and validation of a model that includes two ultrasound parameters and the plasma D-dimer level for predicting malignancy in adnexal masses: an observational study

Steps Model includes AIC BIC
age multilocular SA BL ascites metastases MS CA125 CS PLT DD
0 - starting model + + + + + + + + + + + 107.6212 149.8325
1 - “age” removed + + + + + + + + + + 105.8472 144.8115
2 - “metastases” removed + + + + + + + + + 104.7247 140.4419
3 - “ascites” removed + + + + + + + + 103.1334 135.6037
4 - “mulilocular” removed + + + + + + + 102.1436 131.3668
5 - “PLT” removed + + + + + + 101.5771 127.5533
6 - “MS” removed + + + + + 102.1847 121.6669
7 - “CA125” removed + + + + 120.4145
8 - “BL” removed + + + 119.9821
model: SA + CS + + 167.4295
model: SA + DD + + 121.9826
model: CS + DD + + 148.0912
  1. (+), included, (−) excluded, BL bilateral lesions, CS color score, DD D-dimer, MS menopausal status, PLT platelet count, SA solid areas