Predicting 30-Day Readmission After Stroke: A Systematic Review and Meta-Analysis to Inform Predictor Selection

<b>Background:</b> Thirty-day readmission after stroke remains common, yet contemporary readmission rates, prediction model performance, and predictor domains have not been comprehensively synthesized. <b>Methods:</b> Following PRISMA guidelines, we searched PubMed, Embase, Web of Science, Scopus, a...

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Detalhes bibliográficos

Principais autores:	Saurabh Kalra, Farya Fakoori, Mohammad Nafeli Shahrestani, Zhaoqianyu Xiong, Hannah Gardener, WayWay M. Hlaing, Carolina Marinovic Gutierrez, Gillian Gordon Perue, Negar Asdaghi, Jose G. Romano, Tatjana Rundek, Emir Veledar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
coleção:	Diagnostics
Assuntos:	stroke 30-day readmission risk prediction models prognostic models machine learning systematic review
Acesso em linha:	https://www.mdpi.com/2075-4418/16/11/1685
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