Evidence map›Paper›PMID 27194129›Full record

ArticleUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology2017

Performance of the IOTA ADNEX model in preoperative discrimination of adnexal masses in a gynecological oncology center.

K G Araujo, R M Jales, P N Pereira, A Yoshida, L de Angelo Andrade, L O Sarian, S Derchain

Open access · bronzeAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 5% 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.

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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Diagnostic accuracy of ultrasound models for assessment of ovarian tumors: systematic review and meta-analysis.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

K G AraujoDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
R M JalesDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
P N PereiraDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
A YoshidaDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
L de Angelo AndradeDepartment of Pathologic Anatomy, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
L O SarianDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
S DerchainDepartment of Obstetrics and Gynecology, Faculty of Medical Sciences, University of Campinas, Unicamp, Campinas, São Paulo, Brazil.
Universidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of the International Ovarian Tumor Analysis (IOTA) ADNEX model in the preoperative discrimination between benign ovarian (including tubal and para-ovarian) tumors, borderline ovarian tumors (BOT), Stage I ovarian cancer (OC), Stage II-IV OC and ovarian metastasis in a gynecological oncology center in Brazil.

methodsThis was a diagnostic accuracy study including 131 women with an adnexal mass invited to participate between February 2014 and November 2015. Before surgery, pelvic ultrasound examination was performed and serum levels of tumor marker CA 125 were measured in all women. Adnexal masses were classified according to the IOTA ADNEX model. Histopathological diagnosis was the gold standard. Receiver-operating characteristics (ROC) curve analysis was used to determine the diagnostic accuracy of the model to classify tumors into different histological types.

resultsOf 131 women, 63 (48.1%) had a benign ovarian tumor, 16 (12.2%) had a BOT, 17 (13.0%) had Stage I OC, 24 (18.3%) had Stage II-IV OC and 11 (8.4%) had ovarian metastasis. The area under the ROC curve (AUC) was 0.92 (95% CI, 0.88-0.97) for the basic discrimination between benign vs malignant tumors using the IOTA ADNEX model. Performance was high for the discrimination between benign vs Stage II-IV OC, BOT vs Stage II-IV OC and Stage I OC vs Stage II-IV OC, with AUCs of 0.99, 0.97 and 0.94, respectively. Performance was poor for the differentiation between BOT vs Stage I OC and between Stage I OC vs ovarian metastasis with AUCs of 0.64.

conclusionThe majority of adnexal masses in our study were classified correctly using the IOTA ADNEX model. On the basis of our findings, we would expect the model to aid in the management of women with an adnexal mass presenting to a gynecological oncology center. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

Indexed as

Neoplasm StagingAdnexal DiseasesAdultBrazilFemaleHumansMiddle AgedModels, TheoreticalOvarian NeoplasmsReproducibility of ResultsSensitivity and SpecificityUltrasonographyadnexal massesovarian cancerovarian neoplasmpreoperativeultrasonography

Identifiers

PMID27194129
OpenAlexW2404890819

What OpenQuestion holds

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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.