Evidence map›Paper›PMID 38201599›Full record

ArticleCancers2023

Concurrent Endometrial Cancer in Women with Atypical Endometrial Hyperplasia: What Is the Predictive Value of Patient Characteristics?

Luca Giannella, Francesco Piva, Giovanni Delli Carpini, Jacopo Di Giuseppe, Camilla Grelloni, Matteo Giulietti, Francesco Sopracordevole, Giorgio Giorda, Anna Del Fabro, Nicolò Clemente and 21 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.1field-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

15 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. SCENE: Signature Collection for Endometrial Cancer Prognosis.Journal of cellular and molecular medicine · 2025
    Review
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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

31 authors at 12 institutions in 1 country.

Luca GiannellaWoman's Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, 60123 Ancona, Italy.ORCID 0000-0002-6405-8522
Francesco PivaDepartment of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.
Giovanni Delli CarpiniWoman's Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, 60123 Ancona, Italy.
Jacopo Di GiuseppeWoman's Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, 60123 Ancona, Italy.ORCID 0000-0002-6162-6299
Camilla GrelloniWoman's Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, 60123 Ancona, Italy.
Matteo GiuliettiDepartment of Specialistic Clinical and Odontostomatological Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.
Francesco SopracordevoleGynecologic Oncology Unit, IRCCS-Centro di Riferimento Oncologico di Aviano, 33081 Aviano, Italy.
Giorgio GiordaGynecologic Oncology Unit, IRCCS-Centro di Riferimento Oncologico di Aviano, 33081 Aviano, Italy.
Anna Del FabroGynecologic Oncology Unit, IRCCS-Centro di Riferimento Oncologico di Aviano, 33081 Aviano, Italy.
Nicolò ClementeGynecologic Oncology Unit, IRCCS-Centro di Riferimento Oncologico di Aviano, 33081 Aviano, Italy.ORCID 0000-0003-2748-3041
Barbara GardellaDepartment of Obstetrics and Gynecology, Fondazione IRCCS Policlinico San Matteo, Università degli Studi di Pavia, 27100 Pavia, Italy.ORCID 0000-0002-0812-8995
Giorgio BoganiGynecological Oncology Unit, Fondazione IRCCS-Istituto Nazionale Tumori, 20133 Milano, Italy.ORCID 0000-0001-8373-8569
Orsola BrasileSection of Obstetrics and Gynecology, Department of Medical Sciences, University of Ferrara, 44124 Ferrara, Italy.
Ruby MartinelloSection of Obstetrics and Gynecology, Department of Medical Sciences, University of Ferrara, 44124 Ferrara, Italy.ORCID 0000-0002-0307-0536
Marta CarettoDivision of Obstetrics and Gynecology, Department of Clinical and Experimental Medicine, University of Pisa, 56124 Pisa, Italy.
Alessandro GhelardiUOC Ostetricia e Ginecologia, Ospedale Apuane, Azienda Usl Toscana Nord-Ovest, 54100 Massa, Italy.
Gianluca AlbanesiUOC Ostetricia e Ginecologia, Ospedale Apuane, Azienda Usl Toscana Nord-Ovest, 54100 Massa, Italy.ORCID 0000-0003-0822-3682
Guido StevenazziDepartment of Obstetrics and Gynaecology, ASST Ovest MI, Legnano (Milan) Hospital, 20025 Legnano, Italy.
Paolo VenturiniDivision of Obstetrics and Gynecology, AUSL di Modena, 41012 Carpi, Italy.
Maria PapiccioDivision of Obstetrics and Gynecology, AUSL di Modena, 41012 Carpi, Italy.
Marco CannìDepartment of Obstetrics and Gynecology, Asti Community Hospital, 14100 Asti, Italy.
Maggiorino BarberoDepartment of Obstetrics and Gynecology, Asti Community Hospital, 14100 Asti, Italy.
Massimiliano FambriniObstetrics and Gynecology, Department of Experimental, Clinical, and Biomedical Sciences, Careggi University Hospital, University of Florence, 50121 Florence, Italy.
Veronica MaggiDepartment of Obstetrics and Gynecology, University of Verona, 37129 Verona, Italy.
Stefano UccellaDepartment of Obstetrics and Gynecology, University of Verona, 37129 Verona, Italy.ORCID 0000-0002-4456-0822
Arsenio SpinilloDepartment of Obstetrics and Gynecology, Fondazione IRCCS Policlinico San Matteo, Università degli Studi di Pavia, 27100 Pavia, Italy.
Francesco RaspagliesiGynecological Oncology Unit, Fondazione IRCCS-Istituto Nazionale Tumori, 20133 Milano, Italy.
Pantaleo GrecoSection of Obstetrics and Gynecology, Department of Medical Sciences, University of Ferrara, 44124 Ferrara, Italy.
Tommaso SimonciniDivision of Obstetrics and Gynecology, Department of Clinical and Experimental Medicine, University of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-2971-0079
Felice PetragliaObstetrics and Gynecology, Department of Experimental, Clinical, and Biomedical Sciences, Careggi University Hospital, University of Florence, 50121 Florence, Italy.
Andrea CiavattiniWoman's Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, 60123 Ancona, Italy.ORCID 0000-0002-8037-4947
Marche Polytechnic University · ITCentro di Riferimento Oncologico · ITUniversity of Ferrara · ITAzienda Sanitaria Locale di Asti · ITAzienda Unita' Sanitaria Locale Di Modena · ITAzienda Usl Toscana Centro · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITUniversity of Florence · ITUniversity of Pavia · ITUniversity of Pisa · ITUniversity of Verona · ITAzienda Ospedaliera Ospedale Civile di Legnano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rate of concurrent endometrial cancer (EC) in atypical endometrial hyperplasia (AEH) can be as high as 40%. Some patient characteristics showed associations with this occurrence. However, their real predictive power with related validation has yet to be discovered. The present study aimed to assess the performance of various models based on patient characteristics in predicting EC in women with AEH.

methodsThis is a retrospective multi-institutional study including women with AEH undergoing definitive surgery. The women were divided according to the final histology (EC vs. no-EC). The available cases were divided into a training and validation set. Using k-fold cross-validation, we built many predictive models, including regressions and artificial neural networks (ANN).

resultsA total of 193/629 women (30.7%) showed EC at hysterectomy. A total of 26/193 (13.4%) women showed high-risk EC. Regression and ANN models showed a prediction performance with a mean area under the curve of 0.65 and 0.75 on the validation set, respectively. Among the best prediction models, the most recurrent patient characteristics were age, body mass index, Lynch syndrome, diabetes, and previous breast cancer. None of these independent variables showed associations with high-risk diseases in women with EC.

conclusionsPatient characteristics did not show satisfactory performance in predicting EC in AEH. Risk stratification in AEH based mainly on patient characteristics may be clinically unsuitable.

Indexed as

artificial intelligenceatypical endometrial hyperplasiaendometrial cancerpatient characteristicsprediction modelregression models

Identifiers

PMID38201599
PMCPMC10778118
OpenAlexW4390406197

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.