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Table 3 Summary estimates of ROMA for EOC and OC prediction

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

Clinical 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 (n = 6) [bi] 0.89 (0.84-0.93) 0.83 (0.77-0.88) 41.43 (26.17-65.57) 5.25 (3.85-7.16) 0.13 (0.08-0.20) 0.93 (0.90-0.95)=
  [I2 =71.6%] [I2 =80.7%] [I2 =44.2%] [I2 =75.7%] [I2 =71.6%]  
EOC- preM (n = 5) [bi] 0.82 (0.67-0.91) 0.82 (0.74-0.88) 20.55 (9.70-43.53) 4.50 (3.19-6.36) 0.22 (0.12-0.42) 0.88 (0.85-0.91)
  [I2 =60.1%] [I2 =74.8%] [I2 =43.3%] [I2 =66.0%] [I2 =62.5%]  
EOC- postM (n = 5) [bi] 0.93 (0.89-0.96) 0.79 (0.73-0.83) 47.27 (27.34-81.73) 4.33 (3.41-5.50) 0.09 (0.06-0.15) 0.89 (0.86-0.92)
  [I2 =51.6%] [I2 =16.2%] [I2 =0.0%] [I2 =15.6%] [I2 =45.8%]  
EOC- early stage (n = 3) [uni] 0.81 (0.71-0.89) = 0.76 (0.73-0.79) 17.18 (9.08-32.50) = 3.67 (2.56-5.28) 0.24 (0.15-0.38) 0.88 (0.83-0.93)=
  [I2 =0.0%] [I2 =68.2%] [I2 =0.0%] [I2 =63.4%] [I2 =0.0%]  
EOC- advanced stage (n = 3) [uni] 0.98 (0.94-1.00) 0.76 (0.73-0.79) 149.08 (47.80-464.95) 4.17 (3.37-5.17) 0.04 (0.01-0.13) 0.97 (0.95-1.00)
  [I2 =49.8%] [I2 =68.2%] [I2 =0.0%] [I2 =55.0%] [I2 =28.1%]  
EOC- methods High concern (n = 3) [uni] 0.90 (0.85-0.93) 0.87 (0.83-0.90) 62.84 (3.25-112.04) 7.29(4.33-12.26) 0.12 (0.08-0.18) 0.95 (0.93-0.97)
  [I2 =0.0%] [I2 =67.5%] [I2 =0.0%] [I2 =58.4%] [I2 =0.0%]  
EOC- methods Low concern (n = 3) [uni] 0.89 (0.85-0.93) 0.75 (0.72-0.78) 29.57 (12.85-68.03) 3.74 (3.29-4.25) 0.14 (0.04-0.44) 0.91 (0.86-0.96)
  [I2 =85.5%] [I2 =0.0%] [I2 =56.8%] [I2 =0.0%] [I2 =88.2%]  
EOC (LMP/BL) (n = 3) [uni] 0.88 (0.84-0.92) 0.77 (0.74-0.80) 33.36 (15.02-74.06) 4.37 (2.88-6.64) 0.15 (0.11-0.20) 0.92 (0.88-0.96)
  [I2 =0.0%] [I2 =89.3%] [I2 =66.8%] [I2 =84.6%] [I2 =0.0%]  
OC (n = 3) [uni] 0.86 (0.82-0.89) 0.78 (0.75-0.81) 21. 436 (15.28-30.08) 4.11 (3.14-5.38) 0.19 (0.14-0.23) 0.89 (0.87-0.92)
  [I2 =0.0%] [I2 =68.9%] [I2 =0.0%] [I2 =61.8%] [I2 =0.0%]  
  1. ROMA: Risk for Ovarian Malignancy Algorithm; EOC: epithelial ovarian cancer; OC: ovarian cancer; Sen: sensitivity; spe: specificity; DOR: diagnostic odds ratio; LR+: positive likelihood ratio; LR-: negative likelihood ratio; CI: confidence interval; bi: bivariate model; uni: univariate model (random effects model); preM: premenopausal; postM: post-menopausal; LMP: low malignant potential tumors; BL: borderline tumors. compared to premenopausal group, = compared to advanced stage group, compared to methods Low concern group, and compared to EOC group. 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±).