ArticleFrontiers in neurology2021
Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients.
Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Factors associated with post-stroke readmission: a systematic review and meta analysis.Scientific reports · 2025Pooled it
- Prediction Models for Post-Stroke Hospital Readmission: A Systematic Review.Public health nursing (Boston, Mass.)Pooled it
- Rate and key predictors of unplanned readmission following ischemic stroke: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Predicting 30-Day Readmission After Stroke: A Systematic Review and Meta-Analysis to Inform Predictor Selection.Diagnostics (Basel, Switzerland) · 2026Review
- Artifical intelligence-powered delta-NIHSS-based model for predicting recurrence, disability and mortality after acute ischaemic strokes (DISCO): a modelling study.EClinicalMedicine · 2025Article
- Development of machine learning-based models for predicting risk factors in acute cerebral infarction patients: a clinical retrospective study.BMC neurology · 2024Article
- A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation.Applied clinical informatics · 2024Article
- Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.BMC psychiatry · 2023Article
- XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke.Diagnostics (Basel, Switzerland) · 2023Article
- Predictive modeling for COVID-19 readmission risk using machine learning algorithms.BMC medical informatics and decision making · 2022Article
- Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study.Frontiers in neurology · 2022Article
- Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.Informatics in medicine unlocked · 2022Article
- Predicting short and long-term mortality after acute ischemic stroke using EHR.Journal of the neurological sciences · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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What OpenQuestion holds
Registered trials
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.