Evidence map›Paper›PMID 41062138›Full record

SynthesisBMJ open2025

Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: a systematic review and meta-analysis of external validation studies.

Lasai Barreñada, Ashleigh Ledger, Agnieszka Kotlarz, Paula Dhiman, Gary Stephen Collins, Laure Wynants, Jan Yvan Jos Verbakel, Lil Valentin, Dirk Timmerman, Ben Van Calster

Abstract readSystematic ReviewMeta-AnalysisComparative Study
In one paragraph

Synthesis in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

10 authors.

Lasai BarreñadaDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8020-0210
Ashleigh LedgerDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Agnieszka KotlarzDepartment of Gynecology and Oncology, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland.
Paula DhimanCentre for Statistics in Medicine, Nuffield, Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0989-0623
Gary Stephen CollinsCentre for Statistics in Medicine, Nuffield, Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-2772-2316
Laure WynantsDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Jan Yvan Jos VerbakelDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7166-7211
Lil ValentinDepartment of Obstetrics and Gynaecology, Skåne University Hospital, Malmö, Sweden.
Dirk TimmermanDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Ben Van CalsterDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium ben.vancalster@kuleuven.be.ORCID http://orcid.org/0000-0003-1613-7450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAssessment of Different NEoplasias in the adneXa (ADNEX) and Risk of Malignancy Index (RMI) are models that estimate the risk of malignancy in ovarian masses based on clinical and ultrasound information. The aim is to perform a meta-analysis of studies that compared the performance of the two models in the same patients ('head-to-head comparison').

designSystematic review and meta-analysis. DATA SOURCES: Systematic literature search from publication of ADNEX model (15/10/2014) up to 31/07/2024 in Embase, Web of Science, Scopus, Medline (via PubMed) and EuropePMC. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included all studies that externally validated the performance of ADNEX (with or without CA125) and RMI on the same data. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers extracted data using a standardised extraction sheet. We assessed risk of bias using PROBAST. We performed random effects meta-analysis of the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and clinical utility (net benefit, relative utility and probability of being useful in a hypothetical new centre) at thresholds commonly used clinically (10% risk of malignancy for ADNEX, 200 for RMI).

resultsWe included 11 studies comprising 8271 tumours. Most studies were at high risk of bias. The summary AUC to distinguish benign from malignant tumours in operated patients for ADNEX with CA125 was 0.92 (95% CI 0.90 to 0.94) and for RMI it was 0.85 (0.81 to 0.89). Sensitivity and specificity for ADNEX with CA125 were 0.93 (0.90 to 0.96) and 0.77 (0.71 to 0.81) and for RMI, they were 0.61 (0.56 to 0.67) and 0.92 (0.89 to 0.94). The probability of the test being useful in a hypothetical new centre in operated patients was 96% for ADNEX with CA125 and 15% for RMI at the selected thresholds.

conclusionsADNEX has better discrimination and clinical utility than RMI.

Indexed as

Ovarian NeoplasmsCA-125 AntigenFemaleHumansRisk AssessmentROC CurveUltrasonographyValidation Studies as TopicCA-125 AntigenGynaecological oncologyMeta-AnalysisSTATISTICS & RESEARCH METHODS

Identifiers

PMID41062138
PMCPMC12506209

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Registered trials

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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.