ArticleThe Neurohospitalist2021
Patient Characteristics Associated With Readmission to 3 Neurology Services at an Urban Academic Center.
Article in The Neurohospitalist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Factors associated with post-stroke readmission: a systematic review and meta analysis.Scientific reports · 2025Pooled it
- Predicting 30-Day Readmission After Stroke: A Systematic Review and Meta-Analysis to Inform Predictor Selection.Diagnostics (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeHospital 30-day readmissions in patients with primary neurological problems are not well characterized. We sought to determine patient characteristics associated with readmission across 3 different inpatient neurology services at New York University Langone Hospital.
methodsWe retrospectively reviewed all 30-day readmissions from the General Neurology, Epilepsy, and Stroke services at NYULH Brooklyn and Manhattan campuses from 2016-2017 and compared them to a random sample of non-readmitted neurology patients. We used univariate analyses to compare demographics, clinical characteristics, disease specific metrics, and discharge factors of non-readmitted and readmitted groups and binomial logistic regression to examine specific variables with adjustment for confounders.
resultsWe included 284 patients with 30-day readmissions and 306 control patients without readmissions matched by discharge location and service. After adjusting for confounders, we found that the following factors were associated with increased readmission risk: a recent hospital encounter increased risk for all services, increased number of medications at discharge, intensive care unit stay, higher length of stay, and prior history of seizure for the General Neurology Service, increased number of medications at discharge for the Epilepsy Service, and active malignancy and higher discharge modified Rankin Scale score for the Stroke Service.
conclusionThis study identifies potential risk factors for readmission in patients across multiple neurology services. Further research is needed to establish whether these risk factors hold across multiple institutions.
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Registered trials
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