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Table 5 Summary estimates of comparison among ROMA, HE4 and CA125 for EOC prediction

From: Does risk for ovarian malignancy algorithm excel human epididymis protein 4 and ca125 in predicting epithelial ovarian cancer: A meta-analysis

Settings (study numbers) [analysis model] Mean Sen (95% CI) Mean Spe (95% CI) Mean DOR (95% CI) Mean LR+ (95% CI) Mean LR- (95% CI) AUC (95% CI)
EOC- ROMA 0.86 (0.81-0.91)* 0.84 (0.79-0.88) *# 32.72 (12.42-86.21) 5.35 (4.09-7.01) 0.17 (0.07-0.40) 0.92 (0.86-0.97)
(n = 3) [uni] [I2 =75.5%] [I2 =0.0%] [I2 =64.4%] [I2 =0.0%] [I2 =80.5%]  
EOC-HE4 0.80 (0.73-0.85) 0.94 (0.90-0.96) 67.99 (31.97-144.60) 12.21 (4.25-35.11) 0.22 (0.17-0.29) 0.95 (0.92-0.98)
(n = 3) [uni] [I2 =0.0%] [I2 =78.2%] [I2 =19.2%] [I2 =79.0%] [I2 =0.0%]  
EOC-CA125 0.84 (0.78-0.89) 0.78 (0.73-0.83) * 19.15 (7.26-50.53) 3.81 (2.66-5.46) 0.23 (0.09-0.58) 0.88 (0.81-0.96)
(n = 3) [uni] [I2 =90.0%] [I2 =79.6%] [I2 =68.8%] [I2 =41.4%] [I2 =87.6%]  
  1. Sen: sensitivity; spe: specificity; DOR: diagnostic odds ratio; LR+: positive likelihood ratio; LR-: negative likelihood ratio; CI: confidence interval; uni: univariate model (random effects model); * compared to HE4; # compared to CA125. Cells labeled with characters have significant difference (p < 0.05) in corresponding estimates with the compared groups. I2 was calculated for estimates (sen, spe, DOR and LR±).