Clinical value of ROMA index in diagnosis of ovarian cancer: meta-analysis

Figures & data

Table 1 Literature inclusion basic information

Literature integration
Authors	Publication years	Grade	Pathological type of ovarian cancer					Total number of cases (N)
			Serosity	Mucinous types	Endometrioid	Clear cell sample	Other
Dong Li^Citation3	2017	8	–	–	–	–	–	56
Lai Youxing^Citation4	2017	9	32	5	15	3	–	55
Yang Shijun^Citation5	2016	12	73	26	14	16	8	137
Xie Wenguang^Citation6	2016	11	–	–	–	–	–	95
Zhong Lei^【】^Citation7	2015	9	–	–	–	–	–	38
Farah^Citation8	2014	8	28	8	4	3	–	43
He Hua^Citation9	2014	9	–	–	–	–	–	80
Yang Hua^Citation10	2014	8	20	9	8	2	–	39
Ren Hongying^Citation11	2014	7	5	6	2	–	–	13
Li Jing^Citation12	2014	7	18	3	3	3	12	39
Huo Yishan^Citation13	2014	12	144	24	15	1	–	184
Stiekem^Citation14	2014	11	72	4	25	7	39	147
Pan Yingying^Citation15	2013	8	75	–	12	4	3	94
Xie Zejin^Citation16	2012	9	–	–	–	–	–	78
Elisabelt Bandiera^Citation17	2011	10	51	8	17	10	27	113
Yang Chen^Citation18	2010	7	18	2	3	–	9	32
Moore^Citation19	2009	9	83	16	16	6	8	129
Lycke^Citation22	2018	11	–	–	–	–	–	162
Huy^Citation23	2018	10	–	–	–	–	–	30
Al Musalhi^Citation24	2016	12	20	1	3	–	24	48
Karlsen^Citation25	2012	9	–	–	–	–	–	252
Dikmen^Citation26	2015	10	–	–	–	–	–	47
VanGorp T^Citation27	2012	10	76	21	6	6	12	121

Figure 1 Sensitivity forest map of the ROMA index for diagnosis of ovarian cancer (random effect model).

Figure 2 Specific forest map for diagnosis of ovarian cancer with the ROMA index (random effect model).

Figure 3 Positive predictive value of the ROMA index for diagnosis of ovarian cancer forest map (random effect model).

Figure 4 Negative predictive value of the ROMA index for diagnosis of ovarian cancer forest chart (random effect model).

Figure 5 Area under ROC curve (AUC) of the ROMA index for diagnosis of ovarian cancer forest chart (random effect model).

Figure 6 ROMA index evaluation of ovarian cancer risk bias analysis inverted funnel graph.

Abbreviation: RD, risk difference.

LiDGuJZhaoSChanges in serum HE4 and CA125 levels in patients with endometrial cancerShandong Med20175737375

 Google Scholar

ChiLZhouxiaoyingHuangruiyuDiagnostic value of serum HE4, CA125, and ROMA index in ovarian cancerChinese Maternal and Child Health20174850

 Google Scholar

YangSLuWZhengYAnalysis of the diagnosis of ovarian cancer by serum CA125, HE4 combined ROMA indexMed Clin2016131419311933

 Google Scholar

XieWLinXChenWDiagnostic value of serum CA125, HE4 detection and ROMA model in malignant ovarian cancerInt J Test Med20162435033504

 Google Scholar

LeiZXiaoJXieHHE4 and CA125 combined application of the ROMA index to the diagnostic value of pelvic massesHarbin Pharmaceut201535s15556

 Google Scholar

FarzanehFHonarvarZYaraghiMPreoperative evaluation of risk of ovarian malignancy algorithm index in prediction of malignancy of adnexal massesIran Red Crescent Med J2014166e1718525068046

 PubMed Web of Science ®Google Scholar

HeHJiangLHuRApplication value of serum HE4 level and ROMA index in ovarian cancer diagnosisJ Gannan Med Coll20146846848

 Google Scholar

YangHYuJWuYThe significance of ROMA in ovarian cancer diagnosisJiangsu Med2014401619051907

 Google Scholar

RenHongyingHuangWeicheng XiaoyuThe value of serum HE4 joint CA125 detection in risk assessment of ovarian cancerChina Health Ind201421177178

 Google Scholar

LiJValue of serum human epididymis secretory protein 4, CA125 and ROMA [D] (Risk of Ovarian Malignancy Algorithm)in the diagnosis of pelvic massSouthern Medical University2014 Chinese

 Google Scholar

HuoYDiscussion of HE4, CA125 and ROMA diagnstic value of serum index in epithelial ovarian cacer[D]Xinjiang Medical University2014

 Google Scholar

StiekemaALokCAKenterGGA predictive model combining human epididymal protein 4 and radiologic features for the diagnosis of ovarian cancerGynecol Oncol20141323573577 Chinese24418200

 PubMed Web of Science ®Google Scholar

PanYLinXHeXThe application value of serum HE4 and CA125 joint detection in the risk assessment of malignant ovarian cancer in pelvic mass patientsInt J Test Med2013345543544

 Google Scholar

XieZWangHLiuQApplication of serum HE4 and CA125 joint detection in the risk assessment of epithelial ovarian cancerJ Clin Milit Med2012402392394

 Google Scholar

BandieraERomaniCSpecchiaCSerum human epididymis protein 4 and risk for ovarian malignancy algorithm as new diagnostic and prognostic tools for epithelial ovarian cancer managementCancer Epidemiol Biomarkers Prev201120122496250622028406

 PubMed Web of Science ®Google Scholar

ChenYHermioneSongZSecretion of serum human epididymis protein 4 and CA125 in ovarian tumors and ovarian cancer risk model in the differential diagnosis valueJ Suzhou University, Med Sci2010304795798

 Google Scholar

MooreRGMcMeekinDSBrownAKA novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic massGynecol Oncol20091121404618851871

 PubMed Web of Science ®Google Scholar

LyckeMKristjansdottirBSundfeldtKA multicenter clinical trial validating the performance of HE4, CA125, risk of ovarian malignancy algorithm and risk of malignancy indexGynecol Oncol2018151115916530149898

 PubMed Web of Science ®Google Scholar

HuyNVQvan KhoaVTamLMTamLMStandard and optimal cut-off values of serum CA-125, HE4 and ROMA in preoperative prediction of ovarian cancer in VietnamGynecol Oncol Rep20182511011430109256

 PubMed Web of Science ®Google Scholar

Al MusalhiKAl KindiMAl AisaryFEvaluation of HE4, CA-125, risk of ovarian malignancy algorithm (ROMA) and risk of malignancy index (RMI) in the preoperative assessment of patients with adnexal massOman Med J201631533634427602187

 PubMedGoogle Scholar

KarlsenMASandhuNHøgdallCEvaluation of HE4, CA125, risk of ovarian malignancy algorithm (ROMA) and risk of malignancy index (RMI) as diagnostic tools of epithelial ovarian cancer in patients with a pelvic massGynecol Oncol2012127237938322835718

 PubMed Web of Science ®Google Scholar

DikmenZGColakADoganPTuncerSAkbiyikFDiagnostic performances of CA125, HE4, and ROMA index in ovarian cancerEur J Gynaecol Oncol201536445746226390703

 PubMed Web of Science ®Google Scholar

Van GorpTVeldmanJvan CalsterBSubjective assessment by ultrasound is superior to the risk of malignancy index (RMI) or the risk of ovarian malignancy algorithm (ROMA) in discriminating benign from malignant adnexal massesEur J Cancer201248111649165622226481

 PubMed Web of Science ®Google Scholar