External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data

The study underscores the difficulty in developing universally applicable PAS prediction models. While models like that of Sargent et al. show promise, their reproducibility varies across settings, likely due to the interpretation of the ultrasound signs. The findings support the need for updating the current ultrasound descriptors and for the development of any new predictive models to use data collected by different operators in multiple clinical settings.

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Publication Details

Journal
Acta Obstetricia Et Gynecologica Scandinavica
Published
2024-08-20
DOI
https://doi.org/10.1111/aogs.14941
Citations
3
Primary Topic
Maternal and fetal healthcare
Type
article
Field-Weighted Citation Impact
3.33

Funders

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article

External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data

Thorsten Braun, Zdeněk Laštůvka, Alexander Paping, Ammar Al Naimi et al.
3 citations
Acta Obstetricia Et Gynecologica Scandinavica
Maternal and fetal healthcare
3.33
article

External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data

Thorsten Braun, Zdeněk Laštůvka, Alexander Paping, Ammar Al Naimi, Pavel Calda, Hubert Huras, Heleen J. van Beekhuizen, Eglė Savukynė, Vedran Stefanović, Sally Collins, Karin A. Fox, Stephen Gerry, Andrzej Jaworowski, Magdalena Kołak, Charline Bertholdt, Olivier Morel
article en
3 citations

Abstract

The study underscores the difficulty in developing universally applicable PAS prediction models. While models like that of Sargent et al. show promise, their reproducibility varies across settings, likely due to the interpretation of the ultrasound signs. The findings support the need for updating the current ultrasound descriptors and for the development of any new predictive models to use data collected by different operators in multiple clinical settings.

Acta Obstetricia Et Gynecologica ScandinavicaVol. 104(S1)
Goethe University Frankfurt (DE), Jagiellonian University (PL), University of Helsinki (FI), Inserm (FR), Baylor College of Medicine (US), Charles University (CZ), Helsinki University Hospital (FI), Hospital of Lithuanian University of Health Sciences Kaunas Clinics (LT), Humboldt-Universität zu Berlin (DE), University of Oxford (GB), Bürgerhospital Frankfurt am Main (DE), Imagerie Adaptative Diagnostique et Interventionnelle (FR), University Hospital Frankfurt (DE), Erasmus MC Cancer Institute (NL), General University Hospital in Prague (CZ), Freie Universität Berlin (DE), International Society of Nephrology (BE), Charité - Universitätsmedizin Berlin (DE), Université de Lorraine (FR)
Všeobecná Fakultní Nemocnice v Praze
Partnerships for the goals
Openalex Percentile: Top 8%
Maternal and fetal healthcare
3.33
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