Evidence map›Paper›PMID 30917847›Full record

ReviewJournal of ovarian research2019

Biomarkers and algorithms for diagnosis of ovarian cancer: CA125, HE4, RMI and ROMA, a review.

Vincent Dochez, Hélène Caillon, Edouard Vaucel, Jérôme Dimet, Norbert Winer, Guillaume Ducarme

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of ovarian research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02326064 (Prospective Multicenter Study in Patients With a Tumor Benign Ovarian Presumed on the Use of Algorithms Such as Roma and RMI), which is not on this map. Cited by 301 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
301citing papers in PubMed, 6 pooled it
58.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02326064 completednot on this map

Prospective Multicenter Study in Patients With a Tumor Benign Ovarian Presumed on the Use of Algorithms Such as Roma and RMI (Risk of Malignancy Index) and Tumor Markers Such as CA125 (Cancer Antigen 125) and HE4 (Human Epididymal Protein 4)

TypeobservationalSponsorCentre Hospitalier Departemental VendeeRan2015 to 2016Enrolled221ConditionsOvarian Tumor, Ovarian Cancer
3 · Its place in the literature

Who cites it

301 citing papers in PubMed, 6 syntheses or guidelines pooled it, 583 citations in OpenAlex.

  1. Pooled it
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  3. Comparing the diagnostic efficacy of [Abdominal radiology (New York) · 2025
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  5. p27Histology and histopathology · 2025
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  19. Selenium-Based Nanoplatforms: An Emerging Theranostic Paradigm for Gynecological Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  20. Article

241 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Vincent DochezService de Gynécologie-Obstétrique, CHU de Nantes, 44093, Nantes, France. vincent.dochez@chu-nantes.fr.ORCID http://orcid.org/0000-0002-8077-0288
Hélène CaillonService de Biochimie, CHU de Nantes, Nantes, France.
Edouard VaucelService de Gynécologie-Obstétrique, CHU de Nantes, 44093, Nantes, France.
Jérôme DimetCentre de recherche clinique, Centre Hospitalier Départemental Vendée, La Roche sur Yon, France.
Norbert WinerService de Gynécologie-Obstétrique, CHU de Nantes, 44093, Nantes, France.
Guillaume DucarmeService de Gynécologie-Obstétrique, Centre Hospitalier Départemental Vendée, La Roche sur Yon, France.
Centre Hospitalier Universitaire de Nantes · FRCentre Hospitalier Départemental Vendée · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is the 5th leading cause of death for women with cancer worldwide. In more than 70% of cases, it is only diagnosed at an advanced stage. Our study aims to give an update on the biological markers for diagnosing ovarian cancer, specifically HE4, CA 125, RMI and ROMA algorithms.Serum CA125 assay has low sensitivity in the early stages and can be increased in certain conditions such as menstruation or endometriosis. The level of HE4 is overexpressed in ovarian tumors. Its specificity is 94% and its level is not affected by endometriosis cysts. The combined measures of CA125 and HE4 have proved to be highly efficient with an area under the curve (AUC) of up to 0.96. Furthermore, this combined measure of CA125 can correct the variations in HE4 which are due to smoking or contraception combining estrogen plus progestin. While the specificity of RMI sometimes reaches 92%, the rather low AUC of 0.86 does not make it the best diagnostic tool. The specificity of ROMA is lower than HE4 (84% compared to 94%).To date, the most efficient biological diagnostic tool to diagnose ovarian cancer is the combination of CA125 and HE4.

Indexed as

AlgorithmsArea Under CurveBiomarkers, TumorCA-125 AntigenFemaleHumansOvarian NeoplasmsProteinsRisk AssessmentSensitivity and SpecificityWAP Four-Disulfide Core Domain Protein 2Biomarkers, TumorCA-125 AntigenProteinsWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, humanCA125HE4Ovarian cancerRMIROMA

Identifiers

PMID30917847
PMCPMC6436208
OpenAlexW2942092087

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.