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

Saved in:
Bibliographic Details
Title: Predicting 30-Day Readmission After Stroke: A Systematic Review and Meta-Analysis to Inform Predictor Selection.
Authors: Kalra S; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Fakoori F; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Shahrestani MN; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Xiong Z; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Gardener H; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Hlaing WM; Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Gutierrez CM; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Perue GG; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Asdaghi N; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Romano JG; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Rundek T; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA., Veledar E; Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Source: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2026 May 29; Vol. 16 (11). Date of Electronic Publication: 2026 May 29.
Publication Type: Journal Article; Review
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2075-4418
DOI:10.3390/diagnostics16111685