Skip to main content

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±).
Back to article page

BMC Cancer

ISSN: 1471-2407

Contact us